User login
Bringing you the latest news, research and reviews, exclusive interviews, podcasts, quizzes, and more.
gambling
compulsive behaviors
ammunition
assault rifle
black jack
Boko Haram
bondage
child abuse
cocaine
Daech
drug paraphernalia
explosion
gun
human trafficking
ISIL
ISIS
Islamic caliphate
Islamic state
mixed martial arts
MMA
molestation
national rifle association
NRA
nsfw
pedophile
pedophilia
poker
porn
pornography
psychedelic drug
recreational drug
sex slave rings
slot machine
terrorism
terrorist
Texas hold 'em
UFC
substance abuse
abuseed
abuseer
abusees
abuseing
abusely
abuses
aeolus
aeolused
aeoluser
aeoluses
aeolusing
aeolusly
aeoluss
ahole
aholeed
aholeer
aholees
aholeing
aholely
aholes
alcohol
alcoholed
alcoholer
alcoholes
alcoholing
alcoholly
alcohols
allman
allmaned
allmaner
allmanes
allmaning
allmanly
allmans
alted
altes
alting
altly
alts
analed
analer
anales
analing
anally
analprobe
analprobeed
analprobeer
analprobees
analprobeing
analprobely
analprobes
anals
anilingus
anilingused
anilinguser
anilinguses
anilingusing
anilingusly
anilinguss
anus
anused
anuser
anuses
anusing
anusly
anuss
areola
areolaed
areolaer
areolaes
areolaing
areolaly
areolas
areole
areoleed
areoleer
areolees
areoleing
areolely
areoles
arian
arianed
arianer
arianes
arianing
arianly
arians
aryan
aryaned
aryaner
aryanes
aryaning
aryanly
aryans
asiaed
asiaer
asiaes
asiaing
asialy
asias
ass
ass hole
ass lick
ass licked
ass licker
ass lickes
ass licking
ass lickly
ass licks
assbang
assbanged
assbangeded
assbangeder
assbangedes
assbangeding
assbangedly
assbangeds
assbanger
assbanges
assbanging
assbangly
assbangs
assbangsed
assbangser
assbangses
assbangsing
assbangsly
assbangss
assed
asser
asses
assesed
asseser
asseses
assesing
assesly
assess
assfuck
assfucked
assfucker
assfuckered
assfuckerer
assfuckeres
assfuckering
assfuckerly
assfuckers
assfuckes
assfucking
assfuckly
assfucks
asshat
asshated
asshater
asshates
asshating
asshatly
asshats
assholeed
assholeer
assholees
assholeing
assholely
assholes
assholesed
assholeser
assholeses
assholesing
assholesly
assholess
assing
assly
assmaster
assmastered
assmasterer
assmasteres
assmastering
assmasterly
assmasters
assmunch
assmunched
assmuncher
assmunches
assmunching
assmunchly
assmunchs
asss
asswipe
asswipeed
asswipeer
asswipees
asswipeing
asswipely
asswipes
asswipesed
asswipeser
asswipeses
asswipesing
asswipesly
asswipess
azz
azzed
azzer
azzes
azzing
azzly
azzs
babeed
babeer
babees
babeing
babely
babes
babesed
babeser
babeses
babesing
babesly
babess
ballsac
ballsaced
ballsacer
ballsaces
ballsacing
ballsack
ballsacked
ballsacker
ballsackes
ballsacking
ballsackly
ballsacks
ballsacly
ballsacs
ballsed
ballser
ballses
ballsing
ballsly
ballss
barf
barfed
barfer
barfes
barfing
barfly
barfs
bastard
bastarded
bastarder
bastardes
bastarding
bastardly
bastards
bastardsed
bastardser
bastardses
bastardsing
bastardsly
bastardss
bawdy
bawdyed
bawdyer
bawdyes
bawdying
bawdyly
bawdys
beaner
beanered
beanerer
beaneres
beanering
beanerly
beaners
beardedclam
beardedclamed
beardedclamer
beardedclames
beardedclaming
beardedclamly
beardedclams
beastiality
beastialityed
beastialityer
beastialityes
beastialitying
beastialityly
beastialitys
beatch
beatched
beatcher
beatches
beatching
beatchly
beatchs
beater
beatered
beaterer
beateres
beatering
beaterly
beaters
beered
beerer
beeres
beering
beerly
beeyotch
beeyotched
beeyotcher
beeyotches
beeyotching
beeyotchly
beeyotchs
beotch
beotched
beotcher
beotches
beotching
beotchly
beotchs
biatch
biatched
biatcher
biatches
biatching
biatchly
biatchs
big tits
big titsed
big titser
big titses
big titsing
big titsly
big titss
bigtits
bigtitsed
bigtitser
bigtitses
bigtitsing
bigtitsly
bigtitss
bimbo
bimboed
bimboer
bimboes
bimboing
bimboly
bimbos
bisexualed
bisexualer
bisexuales
bisexualing
bisexually
bisexuals
bitch
bitched
bitcheded
bitcheder
bitchedes
bitcheding
bitchedly
bitcheds
bitcher
bitches
bitchesed
bitcheser
bitcheses
bitchesing
bitchesly
bitchess
bitching
bitchly
bitchs
bitchy
bitchyed
bitchyer
bitchyes
bitchying
bitchyly
bitchys
bleached
bleacher
bleaches
bleaching
bleachly
bleachs
blow job
blow jobed
blow jober
blow jobes
blow jobing
blow jobly
blow jobs
blowed
blower
blowes
blowing
blowjob
blowjobed
blowjober
blowjobes
blowjobing
blowjobly
blowjobs
blowjobsed
blowjobser
blowjobses
blowjobsing
blowjobsly
blowjobss
blowly
blows
boink
boinked
boinker
boinkes
boinking
boinkly
boinks
bollock
bollocked
bollocker
bollockes
bollocking
bollockly
bollocks
bollocksed
bollockser
bollockses
bollocksing
bollocksly
bollockss
bollok
bolloked
bolloker
bollokes
bolloking
bollokly
bolloks
boner
bonered
bonerer
boneres
bonering
bonerly
boners
bonersed
bonerser
bonerses
bonersing
bonersly
bonerss
bong
bonged
bonger
bonges
bonging
bongly
bongs
boob
boobed
boober
boobes
boobies
boobiesed
boobieser
boobieses
boobiesing
boobiesly
boobiess
boobing
boobly
boobs
boobsed
boobser
boobses
boobsing
boobsly
boobss
booby
boobyed
boobyer
boobyes
boobying
boobyly
boobys
booger
boogered
boogerer
boogeres
boogering
boogerly
boogers
bookie
bookieed
bookieer
bookiees
bookieing
bookiely
bookies
bootee
booteeed
booteeer
booteees
booteeing
booteely
bootees
bootie
bootieed
bootieer
bootiees
bootieing
bootiely
booties
booty
bootyed
bootyer
bootyes
bootying
bootyly
bootys
boozeed
boozeer
boozees
boozeing
boozely
boozer
boozered
boozerer
boozeres
boozering
boozerly
boozers
boozes
boozy
boozyed
boozyer
boozyes
boozying
boozyly
boozys
bosomed
bosomer
bosomes
bosoming
bosomly
bosoms
bosomy
bosomyed
bosomyer
bosomyes
bosomying
bosomyly
bosomys
bugger
buggered
buggerer
buggeres
buggering
buggerly
buggers
bukkake
bukkakeed
bukkakeer
bukkakees
bukkakeing
bukkakely
bukkakes
bull shit
bull shited
bull shiter
bull shites
bull shiting
bull shitly
bull shits
bullshit
bullshited
bullshiter
bullshites
bullshiting
bullshitly
bullshits
bullshitsed
bullshitser
bullshitses
bullshitsing
bullshitsly
bullshitss
bullshitted
bullshitteded
bullshitteder
bullshittedes
bullshitteding
bullshittedly
bullshitteds
bullturds
bullturdsed
bullturdser
bullturdses
bullturdsing
bullturdsly
bullturdss
bung
bunged
bunger
bunges
bunging
bungly
bungs
busty
bustyed
bustyer
bustyes
bustying
bustyly
bustys
butt
butt fuck
butt fucked
butt fucker
butt fuckes
butt fucking
butt fuckly
butt fucks
butted
buttes
buttfuck
buttfucked
buttfucker
buttfuckered
buttfuckerer
buttfuckeres
buttfuckering
buttfuckerly
buttfuckers
buttfuckes
buttfucking
buttfuckly
buttfucks
butting
buttly
buttplug
buttpluged
buttpluger
buttpluges
buttpluging
buttplugly
buttplugs
butts
caca
cacaed
cacaer
cacaes
cacaing
cacaly
cacas
cahone
cahoneed
cahoneer
cahonees
cahoneing
cahonely
cahones
cameltoe
cameltoeed
cameltoeer
cameltoees
cameltoeing
cameltoely
cameltoes
carpetmuncher
carpetmunchered
carpetmuncherer
carpetmuncheres
carpetmunchering
carpetmuncherly
carpetmunchers
cawk
cawked
cawker
cawkes
cawking
cawkly
cawks
chinc
chinced
chincer
chinces
chincing
chincly
chincs
chincsed
chincser
chincses
chincsing
chincsly
chincss
chink
chinked
chinker
chinkes
chinking
chinkly
chinks
chode
chodeed
chodeer
chodees
chodeing
chodely
chodes
chodesed
chodeser
chodeses
chodesing
chodesly
chodess
clit
clited
cliter
clites
cliting
clitly
clitoris
clitorised
clitoriser
clitorises
clitorising
clitorisly
clitoriss
clitorus
clitorused
clitoruser
clitoruses
clitorusing
clitorusly
clitoruss
clits
clitsed
clitser
clitses
clitsing
clitsly
clitss
clitty
clittyed
clittyer
clittyes
clittying
clittyly
clittys
cocain
cocaine
cocained
cocaineed
cocaineer
cocainees
cocaineing
cocainely
cocainer
cocaines
cocaining
cocainly
cocains
cock
cock sucker
cock suckered
cock suckerer
cock suckeres
cock suckering
cock suckerly
cock suckers
cockblock
cockblocked
cockblocker
cockblockes
cockblocking
cockblockly
cockblocks
cocked
cocker
cockes
cockholster
cockholstered
cockholsterer
cockholsteres
cockholstering
cockholsterly
cockholsters
cocking
cockknocker
cockknockered
cockknockerer
cockknockeres
cockknockering
cockknockerly
cockknockers
cockly
cocks
cocksed
cockser
cockses
cocksing
cocksly
cocksmoker
cocksmokered
cocksmokerer
cocksmokeres
cocksmokering
cocksmokerly
cocksmokers
cockss
cocksucker
cocksuckered
cocksuckerer
cocksuckeres
cocksuckering
cocksuckerly
cocksuckers
coital
coitaled
coitaler
coitales
coitaling
coitally
coitals
commie
commieed
commieer
commiees
commieing
commiely
commies
condomed
condomer
condomes
condoming
condomly
condoms
coon
cooned
cooner
coones
cooning
coonly
coons
coonsed
coonser
coonses
coonsing
coonsly
coonss
corksucker
corksuckered
corksuckerer
corksuckeres
corksuckering
corksuckerly
corksuckers
cracked
crackwhore
crackwhoreed
crackwhoreer
crackwhorees
crackwhoreing
crackwhorely
crackwhores
crap
craped
craper
crapes
craping
craply
crappy
crappyed
crappyer
crappyes
crappying
crappyly
crappys
cum
cumed
cumer
cumes
cuming
cumly
cummin
cummined
cumminer
cummines
cumming
cumminged
cumminger
cumminges
cumminging
cummingly
cummings
cummining
cumminly
cummins
cums
cumshot
cumshoted
cumshoter
cumshotes
cumshoting
cumshotly
cumshots
cumshotsed
cumshotser
cumshotses
cumshotsing
cumshotsly
cumshotss
cumslut
cumsluted
cumsluter
cumslutes
cumsluting
cumslutly
cumsluts
cumstain
cumstained
cumstainer
cumstaines
cumstaining
cumstainly
cumstains
cunilingus
cunilingused
cunilinguser
cunilinguses
cunilingusing
cunilingusly
cunilinguss
cunnilingus
cunnilingused
cunnilinguser
cunnilinguses
cunnilingusing
cunnilingusly
cunnilinguss
cunny
cunnyed
cunnyer
cunnyes
cunnying
cunnyly
cunnys
cunt
cunted
cunter
cuntes
cuntface
cuntfaceed
cuntfaceer
cuntfacees
cuntfaceing
cuntfacely
cuntfaces
cunthunter
cunthuntered
cunthunterer
cunthunteres
cunthuntering
cunthunterly
cunthunters
cunting
cuntlick
cuntlicked
cuntlicker
cuntlickered
cuntlickerer
cuntlickeres
cuntlickering
cuntlickerly
cuntlickers
cuntlickes
cuntlicking
cuntlickly
cuntlicks
cuntly
cunts
cuntsed
cuntser
cuntses
cuntsing
cuntsly
cuntss
dago
dagoed
dagoer
dagoes
dagoing
dagoly
dagos
dagosed
dagoser
dagoses
dagosing
dagosly
dagoss
dammit
dammited
dammiter
dammites
dammiting
dammitly
dammits
damn
damned
damneded
damneder
damnedes
damneding
damnedly
damneds
damner
damnes
damning
damnit
damnited
damniter
damnites
damniting
damnitly
damnits
damnly
damns
dick
dickbag
dickbaged
dickbager
dickbages
dickbaging
dickbagly
dickbags
dickdipper
dickdippered
dickdipperer
dickdipperes
dickdippering
dickdipperly
dickdippers
dicked
dicker
dickes
dickface
dickfaceed
dickfaceer
dickfacees
dickfaceing
dickfacely
dickfaces
dickflipper
dickflippered
dickflipperer
dickflipperes
dickflippering
dickflipperly
dickflippers
dickhead
dickheaded
dickheader
dickheades
dickheading
dickheadly
dickheads
dickheadsed
dickheadser
dickheadses
dickheadsing
dickheadsly
dickheadss
dicking
dickish
dickished
dickisher
dickishes
dickishing
dickishly
dickishs
dickly
dickripper
dickrippered
dickripperer
dickripperes
dickrippering
dickripperly
dickrippers
dicks
dicksipper
dicksippered
dicksipperer
dicksipperes
dicksippering
dicksipperly
dicksippers
dickweed
dickweeded
dickweeder
dickweedes
dickweeding
dickweedly
dickweeds
dickwhipper
dickwhippered
dickwhipperer
dickwhipperes
dickwhippering
dickwhipperly
dickwhippers
dickzipper
dickzippered
dickzipperer
dickzipperes
dickzippering
dickzipperly
dickzippers
diddle
diddleed
diddleer
diddlees
diddleing
diddlely
diddles
dike
dikeed
dikeer
dikees
dikeing
dikely
dikes
dildo
dildoed
dildoer
dildoes
dildoing
dildoly
dildos
dildosed
dildoser
dildoses
dildosing
dildosly
dildoss
diligaf
diligafed
diligafer
diligafes
diligafing
diligafly
diligafs
dillweed
dillweeded
dillweeder
dillweedes
dillweeding
dillweedly
dillweeds
dimwit
dimwited
dimwiter
dimwites
dimwiting
dimwitly
dimwits
dingle
dingleed
dingleer
dinglees
dingleing
dinglely
dingles
dipship
dipshiped
dipshiper
dipshipes
dipshiping
dipshiply
dipships
dizzyed
dizzyer
dizzyes
dizzying
dizzyly
dizzys
doggiestyleed
doggiestyleer
doggiestylees
doggiestyleing
doggiestylely
doggiestyles
doggystyleed
doggystyleer
doggystylees
doggystyleing
doggystylely
doggystyles
dong
donged
donger
donges
donging
dongly
dongs
doofus
doofused
doofuser
doofuses
doofusing
doofusly
doofuss
doosh
dooshed
doosher
dooshes
dooshing
dooshly
dooshs
dopeyed
dopeyer
dopeyes
dopeying
dopeyly
dopeys
douchebag
douchebaged
douchebager
douchebages
douchebaging
douchebagly
douchebags
douchebagsed
douchebagser
douchebagses
douchebagsing
douchebagsly
douchebagss
doucheed
doucheer
douchees
doucheing
douchely
douches
douchey
doucheyed
doucheyer
doucheyes
doucheying
doucheyly
doucheys
drunk
drunked
drunker
drunkes
drunking
drunkly
drunks
dumass
dumassed
dumasser
dumasses
dumassing
dumassly
dumasss
dumbass
dumbassed
dumbasser
dumbasses
dumbassesed
dumbasseser
dumbasseses
dumbassesing
dumbassesly
dumbassess
dumbassing
dumbassly
dumbasss
dummy
dummyed
dummyer
dummyes
dummying
dummyly
dummys
dyke
dykeed
dykeer
dykees
dykeing
dykely
dykes
dykesed
dykeser
dykeses
dykesing
dykesly
dykess
erotic
eroticed
eroticer
erotices
eroticing
eroticly
erotics
extacy
extacyed
extacyer
extacyes
extacying
extacyly
extacys
extasy
extasyed
extasyer
extasyes
extasying
extasyly
extasys
fack
facked
facker
fackes
facking
fackly
facks
fag
faged
fager
fages
fagg
fagged
faggeded
faggeder
faggedes
faggeding
faggedly
faggeds
fagger
fagges
fagging
faggit
faggited
faggiter
faggites
faggiting
faggitly
faggits
faggly
faggot
faggoted
faggoter
faggotes
faggoting
faggotly
faggots
faggs
faging
fagly
fagot
fagoted
fagoter
fagotes
fagoting
fagotly
fagots
fags
fagsed
fagser
fagses
fagsing
fagsly
fagss
faig
faiged
faiger
faiges
faiging
faigly
faigs
faigt
faigted
faigter
faigtes
faigting
faigtly
faigts
fannybandit
fannybandited
fannybanditer
fannybandites
fannybanditing
fannybanditly
fannybandits
farted
farter
fartes
farting
fartknocker
fartknockered
fartknockerer
fartknockeres
fartknockering
fartknockerly
fartknockers
fartly
farts
felch
felched
felcher
felchered
felcherer
felcheres
felchering
felcherly
felchers
felches
felching
felchinged
felchinger
felchinges
felchinging
felchingly
felchings
felchly
felchs
fellate
fellateed
fellateer
fellatees
fellateing
fellately
fellates
fellatio
fellatioed
fellatioer
fellatioes
fellatioing
fellatioly
fellatios
feltch
feltched
feltcher
feltchered
feltcherer
feltcheres
feltchering
feltcherly
feltchers
feltches
feltching
feltchly
feltchs
feom
feomed
feomer
feomes
feoming
feomly
feoms
fisted
fisteded
fisteder
fistedes
fisteding
fistedly
fisteds
fisting
fistinged
fistinger
fistinges
fistinging
fistingly
fistings
fisty
fistyed
fistyer
fistyes
fistying
fistyly
fistys
floozy
floozyed
floozyer
floozyes
floozying
floozyly
floozys
foad
foaded
foader
foades
foading
foadly
foads
fondleed
fondleer
fondlees
fondleing
fondlely
fondles
foobar
foobared
foobarer
foobares
foobaring
foobarly
foobars
freex
freexed
freexer
freexes
freexing
freexly
freexs
frigg
frigga
friggaed
friggaer
friggaes
friggaing
friggaly
friggas
frigged
frigger
frigges
frigging
friggly
friggs
fubar
fubared
fubarer
fubares
fubaring
fubarly
fubars
fuck
fuckass
fuckassed
fuckasser
fuckasses
fuckassing
fuckassly
fuckasss
fucked
fuckeded
fuckeder
fuckedes
fuckeding
fuckedly
fuckeds
fucker
fuckered
fuckerer
fuckeres
fuckering
fuckerly
fuckers
fuckes
fuckface
fuckfaceed
fuckfaceer
fuckfacees
fuckfaceing
fuckfacely
fuckfaces
fuckin
fuckined
fuckiner
fuckines
fucking
fuckinged
fuckinger
fuckinges
fuckinging
fuckingly
fuckings
fuckining
fuckinly
fuckins
fuckly
fucknugget
fucknuggeted
fucknuggeter
fucknuggetes
fucknuggeting
fucknuggetly
fucknuggets
fucknut
fucknuted
fucknuter
fucknutes
fucknuting
fucknutly
fucknuts
fuckoff
fuckoffed
fuckoffer
fuckoffes
fuckoffing
fuckoffly
fuckoffs
fucks
fucksed
fuckser
fuckses
fucksing
fucksly
fuckss
fucktard
fucktarded
fucktarder
fucktardes
fucktarding
fucktardly
fucktards
fuckup
fuckuped
fuckuper
fuckupes
fuckuping
fuckuply
fuckups
fuckwad
fuckwaded
fuckwader
fuckwades
fuckwading
fuckwadly
fuckwads
fuckwit
fuckwited
fuckwiter
fuckwites
fuckwiting
fuckwitly
fuckwits
fudgepacker
fudgepackered
fudgepackerer
fudgepackeres
fudgepackering
fudgepackerly
fudgepackers
fuk
fuked
fuker
fukes
fuking
fukly
fuks
fvck
fvcked
fvcker
fvckes
fvcking
fvckly
fvcks
fxck
fxcked
fxcker
fxckes
fxcking
fxckly
fxcks
gae
gaeed
gaeer
gaees
gaeing
gaely
gaes
gai
gaied
gaier
gaies
gaiing
gaily
gais
ganja
ganjaed
ganjaer
ganjaes
ganjaing
ganjaly
ganjas
gayed
gayer
gayes
gaying
gayly
gays
gaysed
gayser
gayses
gaysing
gaysly
gayss
gey
geyed
geyer
geyes
geying
geyly
geys
gfc
gfced
gfcer
gfces
gfcing
gfcly
gfcs
gfy
gfyed
gfyer
gfyes
gfying
gfyly
gfys
ghay
ghayed
ghayer
ghayes
ghaying
ghayly
ghays
ghey
gheyed
gheyer
gheyes
gheying
gheyly
gheys
gigolo
gigoloed
gigoloer
gigoloes
gigoloing
gigololy
gigolos
goatse
goatseed
goatseer
goatsees
goatseing
goatsely
goatses
godamn
godamned
godamner
godamnes
godamning
godamnit
godamnited
godamniter
godamnites
godamniting
godamnitly
godamnits
godamnly
godamns
goddam
goddamed
goddamer
goddames
goddaming
goddamly
goddammit
goddammited
goddammiter
goddammites
goddammiting
goddammitly
goddammits
goddamn
goddamned
goddamner
goddamnes
goddamning
goddamnly
goddamns
goddams
goldenshower
goldenshowered
goldenshowerer
goldenshoweres
goldenshowering
goldenshowerly
goldenshowers
gonad
gonaded
gonader
gonades
gonading
gonadly
gonads
gonadsed
gonadser
gonadses
gonadsing
gonadsly
gonadss
gook
gooked
gooker
gookes
gooking
gookly
gooks
gooksed
gookser
gookses
gooksing
gooksly
gookss
gringo
gringoed
gringoer
gringoes
gringoing
gringoly
gringos
gspot
gspoted
gspoter
gspotes
gspoting
gspotly
gspots
gtfo
gtfoed
gtfoer
gtfoes
gtfoing
gtfoly
gtfos
guido
guidoed
guidoer
guidoes
guidoing
guidoly
guidos
handjob
handjobed
handjober
handjobes
handjobing
handjobly
handjobs
hard on
hard oned
hard oner
hard ones
hard oning
hard only
hard ons
hardknight
hardknighted
hardknighter
hardknightes
hardknighting
hardknightly
hardknights
hebe
hebeed
hebeer
hebees
hebeing
hebely
hebes
heeb
heebed
heeber
heebes
heebing
heebly
heebs
hell
helled
heller
helles
helling
hellly
hells
hemp
hemped
hemper
hempes
hemping
hemply
hemps
heroined
heroiner
heroines
heroining
heroinly
heroins
herp
herped
herper
herpes
herpesed
herpeser
herpeses
herpesing
herpesly
herpess
herping
herply
herps
herpy
herpyed
herpyer
herpyes
herpying
herpyly
herpys
hitler
hitlered
hitlerer
hitleres
hitlering
hitlerly
hitlers
hived
hiver
hives
hiving
hivly
hivs
hobag
hobaged
hobager
hobages
hobaging
hobagly
hobags
homey
homeyed
homeyer
homeyes
homeying
homeyly
homeys
homo
homoed
homoer
homoes
homoey
homoeyed
homoeyer
homoeyes
homoeying
homoeyly
homoeys
homoing
homoly
homos
honky
honkyed
honkyer
honkyes
honkying
honkyly
honkys
hooch
hooched
hoocher
hooches
hooching
hoochly
hoochs
hookah
hookahed
hookaher
hookahes
hookahing
hookahly
hookahs
hooker
hookered
hookerer
hookeres
hookering
hookerly
hookers
hoor
hoored
hoorer
hoores
hooring
hoorly
hoors
hootch
hootched
hootcher
hootches
hootching
hootchly
hootchs
hooter
hootered
hooterer
hooteres
hootering
hooterly
hooters
hootersed
hooterser
hooterses
hootersing
hootersly
hooterss
horny
hornyed
hornyer
hornyes
hornying
hornyly
hornys
houstoned
houstoner
houstones
houstoning
houstonly
houstons
hump
humped
humpeded
humpeder
humpedes
humpeding
humpedly
humpeds
humper
humpes
humping
humpinged
humpinger
humpinges
humpinging
humpingly
humpings
humply
humps
husbanded
husbander
husbandes
husbanding
husbandly
husbands
hussy
hussyed
hussyer
hussyes
hussying
hussyly
hussys
hymened
hymener
hymenes
hymening
hymenly
hymens
inbred
inbreded
inbreder
inbredes
inbreding
inbredly
inbreds
incest
incested
incester
incestes
incesting
incestly
incests
injun
injuned
injuner
injunes
injuning
injunly
injuns
jackass
jackassed
jackasser
jackasses
jackassing
jackassly
jackasss
jackhole
jackholeed
jackholeer
jackholees
jackholeing
jackholely
jackholes
jackoff
jackoffed
jackoffer
jackoffes
jackoffing
jackoffly
jackoffs
jap
japed
japer
japes
japing
japly
japs
japsed
japser
japses
japsing
japsly
japss
jerkoff
jerkoffed
jerkoffer
jerkoffes
jerkoffing
jerkoffly
jerkoffs
jerks
jism
jismed
jismer
jismes
jisming
jismly
jisms
jiz
jized
jizer
jizes
jizing
jizly
jizm
jizmed
jizmer
jizmes
jizming
jizmly
jizms
jizs
jizz
jizzed
jizzeded
jizzeder
jizzedes
jizzeding
jizzedly
jizzeds
jizzer
jizzes
jizzing
jizzly
jizzs
junkie
junkieed
junkieer
junkiees
junkieing
junkiely
junkies
junky
junkyed
junkyer
junkyes
junkying
junkyly
junkys
kike
kikeed
kikeer
kikees
kikeing
kikely
kikes
kikesed
kikeser
kikeses
kikesing
kikesly
kikess
killed
killer
killes
killing
killly
kills
kinky
kinkyed
kinkyer
kinkyes
kinkying
kinkyly
kinkys
kkk
kkked
kkker
kkkes
kkking
kkkly
kkks
klan
klaned
klaner
klanes
klaning
klanly
klans
knobend
knobended
knobender
knobendes
knobending
knobendly
knobends
kooch
kooched
koocher
kooches
koochesed
koocheser
koocheses
koochesing
koochesly
koochess
kooching
koochly
koochs
kootch
kootched
kootcher
kootches
kootching
kootchly
kootchs
kraut
krauted
krauter
krautes
krauting
krautly
krauts
kyke
kykeed
kykeer
kykees
kykeing
kykely
kykes
lech
leched
lecher
leches
leching
lechly
lechs
leper
lepered
leperer
leperes
lepering
leperly
lepers
lesbiansed
lesbianser
lesbianses
lesbiansing
lesbiansly
lesbianss
lesbo
lesboed
lesboer
lesboes
lesboing
lesboly
lesbos
lesbosed
lesboser
lesboses
lesbosing
lesbosly
lesboss
lez
lezbianed
lezbianer
lezbianes
lezbianing
lezbianly
lezbians
lezbiansed
lezbianser
lezbianses
lezbiansing
lezbiansly
lezbianss
lezbo
lezboed
lezboer
lezboes
lezboing
lezboly
lezbos
lezbosed
lezboser
lezboses
lezbosing
lezbosly
lezboss
lezed
lezer
lezes
lezing
lezly
lezs
lezzie
lezzieed
lezzieer
lezziees
lezzieing
lezziely
lezzies
lezziesed
lezzieser
lezzieses
lezziesing
lezziesly
lezziess
lezzy
lezzyed
lezzyer
lezzyes
lezzying
lezzyly
lezzys
lmaoed
lmaoer
lmaoes
lmaoing
lmaoly
lmaos
lmfao
lmfaoed
lmfaoer
lmfaoes
lmfaoing
lmfaoly
lmfaos
loined
loiner
loines
loining
loinly
loins
loinsed
loinser
loinses
loinsing
loinsly
loinss
lubeed
lubeer
lubees
lubeing
lubely
lubes
lusty
lustyed
lustyer
lustyes
lustying
lustyly
lustys
massa
massaed
massaer
massaes
massaing
massaly
massas
masterbate
masterbateed
masterbateer
masterbatees
masterbateing
masterbately
masterbates
masterbating
masterbatinged
masterbatinger
masterbatinges
masterbatinging
masterbatingly
masterbatings
masterbation
masterbationed
masterbationer
masterbationes
masterbationing
masterbationly
masterbations
masturbate
masturbateed
masturbateer
masturbatees
masturbateing
masturbately
masturbates
masturbating
masturbatinged
masturbatinger
masturbatinges
masturbatinging
masturbatingly
masturbatings
masturbation
masturbationed
masturbationer
masturbationes
masturbationing
masturbationly
masturbations
methed
mether
methes
mething
methly
meths
militaryed
militaryer
militaryes
militarying
militaryly
militarys
mofo
mofoed
mofoer
mofoes
mofoing
mofoly
mofos
molest
molested
molester
molestes
molesting
molestly
molests
moolie
moolieed
moolieer
mooliees
moolieing
mooliely
moolies
moron
moroned
moroner
morones
moroning
moronly
morons
motherfucka
motherfuckaed
motherfuckaer
motherfuckaes
motherfuckaing
motherfuckaly
motherfuckas
motherfucker
motherfuckered
motherfuckerer
motherfuckeres
motherfuckering
motherfuckerly
motherfuckers
motherfucking
motherfuckinged
motherfuckinger
motherfuckinges
motherfuckinging
motherfuckingly
motherfuckings
mtherfucker
mtherfuckered
mtherfuckerer
mtherfuckeres
mtherfuckering
mtherfuckerly
mtherfuckers
mthrfucker
mthrfuckered
mthrfuckerer
mthrfuckeres
mthrfuckering
mthrfuckerly
mthrfuckers
mthrfucking
mthrfuckinged
mthrfuckinger
mthrfuckinges
mthrfuckinging
mthrfuckingly
mthrfuckings
muff
muffdiver
muffdivered
muffdiverer
muffdiveres
muffdivering
muffdiverly
muffdivers
muffed
muffer
muffes
muffing
muffly
muffs
murdered
murderer
murderes
murdering
murderly
murders
muthafuckaz
muthafuckazed
muthafuckazer
muthafuckazes
muthafuckazing
muthafuckazly
muthafuckazs
muthafucker
muthafuckered
muthafuckerer
muthafuckeres
muthafuckering
muthafuckerly
muthafuckers
mutherfucker
mutherfuckered
mutherfuckerer
mutherfuckeres
mutherfuckering
mutherfuckerly
mutherfuckers
mutherfucking
mutherfuckinged
mutherfuckinger
mutherfuckinges
mutherfuckinging
mutherfuckingly
mutherfuckings
muthrfucking
muthrfuckinged
muthrfuckinger
muthrfuckinges
muthrfuckinging
muthrfuckingly
muthrfuckings
nad
naded
nader
nades
nading
nadly
nads
nadsed
nadser
nadses
nadsing
nadsly
nadss
nakeded
nakeder
nakedes
nakeding
nakedly
nakeds
napalm
napalmed
napalmer
napalmes
napalming
napalmly
napalms
nappy
nappyed
nappyer
nappyes
nappying
nappyly
nappys
nazi
nazied
nazier
nazies
naziing
nazily
nazis
nazism
nazismed
nazismer
nazismes
nazisming
nazismly
nazisms
negro
negroed
negroer
negroes
negroing
negroly
negros
nigga
niggaed
niggaer
niggaes
niggah
niggahed
niggaher
niggahes
niggahing
niggahly
niggahs
niggaing
niggaly
niggas
niggased
niggaser
niggases
niggasing
niggasly
niggass
niggaz
niggazed
niggazer
niggazes
niggazing
niggazly
niggazs
nigger
niggered
niggerer
niggeres
niggering
niggerly
niggers
niggersed
niggerser
niggerses
niggersing
niggersly
niggerss
niggle
niggleed
niggleer
nigglees
niggleing
nigglely
niggles
niglet
nigleted
nigleter
nigletes
nigleting
nigletly
niglets
nimrod
nimroded
nimroder
nimrodes
nimroding
nimrodly
nimrods
ninny
ninnyed
ninnyer
ninnyes
ninnying
ninnyly
ninnys
nooky
nookyed
nookyer
nookyes
nookying
nookyly
nookys
nuccitelli
nuccitellied
nuccitellier
nuccitellies
nuccitelliing
nuccitellily
nuccitellis
nympho
nymphoed
nymphoer
nymphoes
nymphoing
nympholy
nymphos
opium
opiumed
opiumer
opiumes
opiuming
opiumly
opiums
orgies
orgiesed
orgieser
orgieses
orgiesing
orgiesly
orgiess
orgy
orgyed
orgyer
orgyes
orgying
orgyly
orgys
paddy
paddyed
paddyer
paddyes
paddying
paddyly
paddys
paki
pakied
pakier
pakies
pakiing
pakily
pakis
pantie
pantieed
pantieer
pantiees
pantieing
pantiely
panties
pantiesed
pantieser
pantieses
pantiesing
pantiesly
pantiess
panty
pantyed
pantyer
pantyes
pantying
pantyly
pantys
pastie
pastieed
pastieer
pastiees
pastieing
pastiely
pasties
pasty
pastyed
pastyer
pastyes
pastying
pastyly
pastys
pecker
peckered
peckerer
peckeres
peckering
peckerly
peckers
pedo
pedoed
pedoer
pedoes
pedoing
pedoly
pedophile
pedophileed
pedophileer
pedophilees
pedophileing
pedophilely
pedophiles
pedophilia
pedophiliac
pedophiliaced
pedophiliacer
pedophiliaces
pedophiliacing
pedophiliacly
pedophiliacs
pedophiliaed
pedophiliaer
pedophiliaes
pedophiliaing
pedophilialy
pedophilias
pedos
penial
penialed
penialer
peniales
penialing
penially
penials
penile
penileed
penileer
penilees
penileing
penilely
peniles
penis
penised
peniser
penises
penising
penisly
peniss
perversion
perversioned
perversioner
perversiones
perversioning
perversionly
perversions
peyote
peyoteed
peyoteer
peyotees
peyoteing
peyotely
peyotes
phuck
phucked
phucker
phuckes
phucking
phuckly
phucks
pillowbiter
pillowbitered
pillowbiterer
pillowbiteres
pillowbitering
pillowbiterly
pillowbiters
pimp
pimped
pimper
pimpes
pimping
pimply
pimps
pinko
pinkoed
pinkoer
pinkoes
pinkoing
pinkoly
pinkos
pissed
pisseded
pisseder
pissedes
pisseding
pissedly
pisseds
pisser
pisses
pissing
pissly
pissoff
pissoffed
pissoffer
pissoffes
pissoffing
pissoffly
pissoffs
pisss
polack
polacked
polacker
polackes
polacking
polackly
polacks
pollock
pollocked
pollocker
pollockes
pollocking
pollockly
pollocks
poon
pooned
pooner
poones
pooning
poonly
poons
poontang
poontanged
poontanger
poontanges
poontanging
poontangly
poontangs
porn
porned
porner
pornes
porning
pornly
porno
pornoed
pornoer
pornoes
pornography
pornographyed
pornographyer
pornographyes
pornographying
pornographyly
pornographys
pornoing
pornoly
pornos
porns
prick
pricked
pricker
prickes
pricking
prickly
pricks
prig
priged
priger
priges
priging
prigly
prigs
prostitute
prostituteed
prostituteer
prostitutees
prostituteing
prostitutely
prostitutes
prude
prudeed
prudeer
prudees
prudeing
prudely
prudes
punkass
punkassed
punkasser
punkasses
punkassing
punkassly
punkasss
punky
punkyed
punkyer
punkyes
punkying
punkyly
punkys
puss
pussed
pusser
pusses
pussies
pussiesed
pussieser
pussieses
pussiesing
pussiesly
pussiess
pussing
pussly
pusss
pussy
pussyed
pussyer
pussyes
pussying
pussyly
pussypounder
pussypoundered
pussypounderer
pussypounderes
pussypoundering
pussypounderly
pussypounders
pussys
puto
putoed
putoer
putoes
putoing
putoly
putos
queaf
queafed
queafer
queafes
queafing
queafly
queafs
queef
queefed
queefer
queefes
queefing
queefly
queefs
queer
queered
queerer
queeres
queering
queerly
queero
queeroed
queeroer
queeroes
queeroing
queeroly
queeros
queers
queersed
queerser
queerses
queersing
queersly
queerss
quicky
quickyed
quickyer
quickyes
quickying
quickyly
quickys
quim
quimed
quimer
quimes
quiming
quimly
quims
racy
racyed
racyer
racyes
racying
racyly
racys
rape
raped
rapeded
rapeder
rapedes
rapeding
rapedly
rapeds
rapeed
rapeer
rapees
rapeing
rapely
raper
rapered
raperer
raperes
rapering
raperly
rapers
rapes
rapist
rapisted
rapister
rapistes
rapisting
rapistly
rapists
raunch
raunched
rauncher
raunches
raunching
raunchly
raunchs
rectus
rectused
rectuser
rectuses
rectusing
rectusly
rectuss
reefer
reefered
reeferer
reeferes
reefering
reeferly
reefers
reetard
reetarded
reetarder
reetardes
reetarding
reetardly
reetards
reich
reiched
reicher
reiches
reiching
reichly
reichs
retard
retarded
retardeded
retardeder
retardedes
retardeding
retardedly
retardeds
retarder
retardes
retarding
retardly
retards
rimjob
rimjobed
rimjober
rimjobes
rimjobing
rimjobly
rimjobs
ritard
ritarded
ritarder
ritardes
ritarding
ritardly
ritards
rtard
rtarded
rtarder
rtardes
rtarding
rtardly
rtards
rum
rumed
rumer
rumes
ruming
rumly
rump
rumped
rumper
rumpes
rumping
rumply
rumprammer
rumprammered
rumprammerer
rumprammeres
rumprammering
rumprammerly
rumprammers
rumps
rums
ruski
ruskied
ruskier
ruskies
ruskiing
ruskily
ruskis
sadism
sadismed
sadismer
sadismes
sadisming
sadismly
sadisms
sadist
sadisted
sadister
sadistes
sadisting
sadistly
sadists
scag
scaged
scager
scages
scaging
scagly
scags
scantily
scantilyed
scantilyer
scantilyes
scantilying
scantilyly
scantilys
schlong
schlonged
schlonger
schlonges
schlonging
schlongly
schlongs
scrog
scroged
scroger
scroges
scroging
scrogly
scrogs
scrot
scrote
scroted
scroteed
scroteer
scrotees
scroteing
scrotely
scroter
scrotes
scroting
scrotly
scrots
scrotum
scrotumed
scrotumer
scrotumes
scrotuming
scrotumly
scrotums
scrud
scruded
scruder
scrudes
scruding
scrudly
scruds
scum
scumed
scumer
scumes
scuming
scumly
scums
seaman
seamaned
seamaner
seamanes
seamaning
seamanly
seamans
seamen
seamened
seamener
seamenes
seamening
seamenly
seamens
seduceed
seduceer
seducees
seduceing
seducely
seduces
semen
semened
semener
semenes
semening
semenly
semens
shamedame
shamedameed
shamedameer
shamedamees
shamedameing
shamedamely
shamedames
shit
shite
shiteater
shiteatered
shiteaterer
shiteateres
shiteatering
shiteaterly
shiteaters
shited
shiteed
shiteer
shitees
shiteing
shitely
shiter
shites
shitface
shitfaceed
shitfaceer
shitfacees
shitfaceing
shitfacely
shitfaces
shithead
shitheaded
shitheader
shitheades
shitheading
shitheadly
shitheads
shithole
shitholeed
shitholeer
shitholees
shitholeing
shitholely
shitholes
shithouse
shithouseed
shithouseer
shithousees
shithouseing
shithousely
shithouses
shiting
shitly
shits
shitsed
shitser
shitses
shitsing
shitsly
shitss
shitt
shitted
shitteded
shitteder
shittedes
shitteding
shittedly
shitteds
shitter
shittered
shitterer
shitteres
shittering
shitterly
shitters
shittes
shitting
shittly
shitts
shitty
shittyed
shittyer
shittyes
shittying
shittyly
shittys
shiz
shized
shizer
shizes
shizing
shizly
shizs
shooted
shooter
shootes
shooting
shootly
shoots
sissy
sissyed
sissyer
sissyes
sissying
sissyly
sissys
skag
skaged
skager
skages
skaging
skagly
skags
skank
skanked
skanker
skankes
skanking
skankly
skanks
slave
slaveed
slaveer
slavees
slaveing
slavely
slaves
sleaze
sleazeed
sleazeer
sleazees
sleazeing
sleazely
sleazes
sleazy
sleazyed
sleazyer
sleazyes
sleazying
sleazyly
sleazys
slut
slutdumper
slutdumpered
slutdumperer
slutdumperes
slutdumpering
slutdumperly
slutdumpers
sluted
sluter
slutes
sluting
slutkiss
slutkissed
slutkisser
slutkisses
slutkissing
slutkissly
slutkisss
slutly
sluts
slutsed
slutser
slutses
slutsing
slutsly
slutss
smegma
smegmaed
smegmaer
smegmaes
smegmaing
smegmaly
smegmas
smut
smuted
smuter
smutes
smuting
smutly
smuts
smutty
smuttyed
smuttyer
smuttyes
smuttying
smuttyly
smuttys
snatch
snatched
snatcher
snatches
snatching
snatchly
snatchs
sniper
snipered
sniperer
sniperes
snipering
sniperly
snipers
snort
snorted
snorter
snortes
snorting
snortly
snorts
snuff
snuffed
snuffer
snuffes
snuffing
snuffly
snuffs
sodom
sodomed
sodomer
sodomes
sodoming
sodomly
sodoms
spic
spiced
spicer
spices
spicing
spick
spicked
spicker
spickes
spicking
spickly
spicks
spicly
spics
spik
spoof
spoofed
spoofer
spoofes
spoofing
spoofly
spoofs
spooge
spoogeed
spoogeer
spoogees
spoogeing
spoogely
spooges
spunk
spunked
spunker
spunkes
spunking
spunkly
spunks
steamyed
steamyer
steamyes
steamying
steamyly
steamys
stfu
stfued
stfuer
stfues
stfuing
stfuly
stfus
stiffy
stiffyed
stiffyer
stiffyes
stiffying
stiffyly
stiffys
stoneded
stoneder
stonedes
stoneding
stonedly
stoneds
stupided
stupider
stupides
stupiding
stupidly
stupids
suckeded
suckeder
suckedes
suckeding
suckedly
suckeds
sucker
suckes
sucking
suckinged
suckinger
suckinges
suckinging
suckingly
suckings
suckly
sucks
sumofabiatch
sumofabiatched
sumofabiatcher
sumofabiatches
sumofabiatching
sumofabiatchly
sumofabiatchs
tard
tarded
tarder
tardes
tarding
tardly
tards
tawdry
tawdryed
tawdryer
tawdryes
tawdrying
tawdryly
tawdrys
teabagging
teabagginged
teabagginger
teabagginges
teabagginging
teabaggingly
teabaggings
terd
terded
terder
terdes
terding
terdly
terds
teste
testee
testeed
testeeed
testeeer
testeees
testeeing
testeely
testeer
testees
testeing
testely
testes
testesed
testeser
testeses
testesing
testesly
testess
testicle
testicleed
testicleer
testiclees
testicleing
testiclely
testicles
testis
testised
testiser
testises
testising
testisly
testiss
thrusted
thruster
thrustes
thrusting
thrustly
thrusts
thug
thuged
thuger
thuges
thuging
thugly
thugs
tinkle
tinkleed
tinkleer
tinklees
tinkleing
tinklely
tinkles
tit
tited
titer
tites
titfuck
titfucked
titfucker
titfuckes
titfucking
titfuckly
titfucks
titi
titied
titier
tities
titiing
titily
titing
titis
titly
tits
titsed
titser
titses
titsing
titsly
titss
tittiefucker
tittiefuckered
tittiefuckerer
tittiefuckeres
tittiefuckering
tittiefuckerly
tittiefuckers
titties
tittiesed
tittieser
tittieses
tittiesing
tittiesly
tittiess
titty
tittyed
tittyer
tittyes
tittyfuck
tittyfucked
tittyfucker
tittyfuckered
tittyfuckerer
tittyfuckeres
tittyfuckering
tittyfuckerly
tittyfuckers
tittyfuckes
tittyfucking
tittyfuckly
tittyfucks
tittying
tittyly
tittys
toke
tokeed
tokeer
tokees
tokeing
tokely
tokes
toots
tootsed
tootser
tootses
tootsing
tootsly
tootss
tramp
tramped
tramper
trampes
tramping
tramply
tramps
transsexualed
transsexualer
transsexuales
transsexualing
transsexually
transsexuals
trashy
trashyed
trashyer
trashyes
trashying
trashyly
trashys
tubgirl
tubgirled
tubgirler
tubgirles
tubgirling
tubgirlly
tubgirls
turd
turded
turder
turdes
turding
turdly
turds
tush
tushed
tusher
tushes
tushing
tushly
tushs
twat
twated
twater
twates
twating
twatly
twats
twatsed
twatser
twatses
twatsing
twatsly
twatss
undies
undiesed
undieser
undieses
undiesing
undiesly
undiess
unweded
unweder
unwedes
unweding
unwedly
unweds
uzi
uzied
uzier
uzies
uziing
uzily
uzis
vag
vaged
vager
vages
vaging
vagly
vags
valium
valiumed
valiumer
valiumes
valiuming
valiumly
valiums
venous
virgined
virginer
virgines
virgining
virginly
virgins
vixen
vixened
vixener
vixenes
vixening
vixenly
vixens
vodkaed
vodkaer
vodkaes
vodkaing
vodkaly
vodkas
voyeur
voyeured
voyeurer
voyeures
voyeuring
voyeurly
voyeurs
vulgar
vulgared
vulgarer
vulgares
vulgaring
vulgarly
vulgars
wang
wanged
wanger
wanges
wanging
wangly
wangs
wank
wanked
wanker
wankered
wankerer
wankeres
wankering
wankerly
wankers
wankes
wanking
wankly
wanks
wazoo
wazooed
wazooer
wazooes
wazooing
wazooly
wazoos
wedgie
wedgieed
wedgieer
wedgiees
wedgieing
wedgiely
wedgies
weeded
weeder
weedes
weeding
weedly
weeds
weenie
weenieed
weenieer
weeniees
weenieing
weeniely
weenies
weewee
weeweeed
weeweeer
weeweees
weeweeing
weeweely
weewees
weiner
weinered
weinerer
weineres
weinering
weinerly
weiners
weirdo
weirdoed
weirdoer
weirdoes
weirdoing
weirdoly
weirdos
wench
wenched
wencher
wenches
wenching
wenchly
wenchs
wetback
wetbacked
wetbacker
wetbackes
wetbacking
wetbackly
wetbacks
whitey
whiteyed
whiteyer
whiteyes
whiteying
whiteyly
whiteys
whiz
whized
whizer
whizes
whizing
whizly
whizs
whoralicious
whoralicioused
whoraliciouser
whoraliciouses
whoraliciousing
whoraliciously
whoraliciouss
whore
whorealicious
whorealicioused
whorealiciouser
whorealiciouses
whorealiciousing
whorealiciously
whorealiciouss
whored
whoreded
whoreder
whoredes
whoreding
whoredly
whoreds
whoreed
whoreer
whorees
whoreface
whorefaceed
whorefaceer
whorefacees
whorefaceing
whorefacely
whorefaces
whorehopper
whorehoppered
whorehopperer
whorehopperes
whorehoppering
whorehopperly
whorehoppers
whorehouse
whorehouseed
whorehouseer
whorehousees
whorehouseing
whorehousely
whorehouses
whoreing
whorely
whores
whoresed
whoreser
whoreses
whoresing
whoresly
whoress
whoring
whoringed
whoringer
whoringes
whoringing
whoringly
whorings
wigger
wiggered
wiggerer
wiggeres
wiggering
wiggerly
wiggers
woody
woodyed
woodyer
woodyes
woodying
woodyly
woodys
wop
woped
woper
wopes
woping
woply
wops
wtf
wtfed
wtfer
wtfes
wtfing
wtfly
wtfs
xxx
xxxed
xxxer
xxxes
xxxing
xxxly
xxxs
yeasty
yeastyed
yeastyer
yeastyes
yeastying
yeastyly
yeastys
yobbo
yobboed
yobboer
yobboes
yobboing
yobboly
yobbos
zoophile
zoophileed
zoophileer
zoophilees
zoophileing
zoophilely
zoophiles
anal
ass
ass lick
balls
ballsac
bisexual
bleach
causas
cheap
cost of miracles
cunt
display network stats
fart
fda and death
fda AND warn
fda AND warning
fda AND warns
feom
fuck
gfc
humira AND expensive
illegal
madvocate
masturbation
nuccitelli
overdose
porn
shit
snort
texarkana
Bipolar depression
Depression
adolescent depression
adolescent major depressive disorder
adolescent schizophrenia
adolescent with major depressive disorder
animals
autism
baby
brexpiprazole
child
child bipolar
child depression
child schizophrenia
children with bipolar disorder
children with depression
children with major depressive disorder
compulsive behaviors
cure
elderly bipolar
elderly depression
elderly major depressive disorder
elderly schizophrenia
elderly with dementia
first break
first episode
gambling
gaming
geriatric depression
geriatric major depressive disorder
geriatric schizophrenia
infant
kid
major depressive disorder
major depressive disorder in adolescents
major depressive disorder in children
parenting
pediatric
pediatric bipolar
pediatric depression
pediatric major depressive disorder
pediatric schizophrenia
pregnancy
pregnant
rexulti
skin care
teen
wine
section[contains(@class, 'nav-hidden')]
footer[@id='footer']
div[contains(@class, 'pane-node-field-article-topics')]
section[contains(@class, 'footer-nav-section-wrapper')]
section[contains(@class, 'content-row')]
div[contains(@class, 'panel-pane pane-article-read-next')]
A peer-reviewed clinical journal serving healthcare professionals working with the Department of Veterans Affairs, the Department of Defense, and the Public Health Service.
ACS expands lung cancer screening eligibility
The American Cancer Society has updated its screening guidelines for lung cancer, the leading cause of cancer-specific deaths in the United States and the largest driver of potential years of life lost from cancer.
The 2023 screening guidance, aimed principally at reducing lung cancer mortality in asymptomatic but high-risk, tobacco-exposed individuals, expands the age eligibility and lowers both the former smoking history and the years since quitting threshold for screening with low-dose CT (LDCT).
It is based on the most recent evidence on the efficacy and effectiveness of screening and lung cancer risk in persons who formerly smoked, wrote the ACS’s Guideline Development Group led by Robert A. Smith, PhD, senior vice president of early cancer detection science. The new guidelines, which replace the 2013 statement, appear in CA: A Cancer Journal for Physicians.
The primary evidence source for the update was a systematic review of LDCT lung cancer screening conducted for the U.S. Preventive Services Task Force and published in 2021.
The new guideline continues a trend of expanding eligibility for lung cancer screening, which has had low uptake, to prevent more deaths. “Recent studies have shown that extending the age for persons who smoked and formerly smoked, eliminating the ‘years since quitting’ requirement, and lowering the pack-per-year recommendation could make a real difference in saving lives,” Dr. Smith said. “The relative risk of developing lung cancer in people who have smoked most of their life compared to people who never smoked is very high – about 70 times the risk.” Although lung cancer is the third most common malignancy in the United States, it accounts for more deaths than colorectal, breast, prostate, and cervical cancers combined.
The recommendation for annual LDCT for at-risk persons remains unchanged from 2013.
Among the 2023 eligibility changes:
- Age: Expanded to 50-80 years from 55-74 years.
- Smoking status: Changed to current or previous smoker from current smoker or smoker who quit within past 15 years (number of years since quitting no longer a criterion to start or stop screening). Dr. Smith noted that both the 2013 guidelines and other groups’ updated recommendations retained the eligibility cutoff of 15 years since smoking cessation. “But had their risk declined to a level that just did not justify continuing screening?” he asked. “There wasn’t an answer to that question, so we needed to look carefully at the absolute risk of lung cancer in persons who formerly smoked compared with people who currently smoked and people who never smoked.”
- Smoking history: Reduced to 20 or more pack-years (average of 20 cigarettes a day) versus 30 or more pack-years.
- Exclusions: Expanded to health conditions that may increase harm or hinder further evaluation, surgery, or treatment; comorbidities limiting life expectancy to fewer than 5 years; unwillingness to accept treatment for screen‐detected cancer, which was changed from 2013’s life‐limiting comorbid conditions, metallic implants or devices in the chest or back, home oxygen supplementation.
In addition, decision-making should be a shared process with a health professional providing the patient with information on the benefits, limitations, and harms of LDCT screening, as well as prescreening advice on smoking cessation and the offer of assistive counseling and pharmocotherapy.
“Overall, lung cancer screening remains one of the least used early cancer detection modalities in clinical practice. The new guidance opens up lung cancer screening to all former smokers regardless of time of cessation,” said internist William E. Golden, MD, MACP, a professor of medicine and public health at the University of Arkansas for Medical Sciences, Little Rock. “This may promote greater uptake in concert with greater availability of low-radiation CT scanning.”
While agreeing the expanded criteria will enfranchise nearly 5 million current and former U.S. smokers for screening and may reduce deaths, internist Aarati D. Didwania, MD, MMSCI, MACP, a professor of medicine and medical education at Northwestern University, Chicago, warned that increasing actual uptake may be an uphill battle. “The practical part of the equation is seeing that the scans get done. There is often a lag between a recommendation of a yearly test and getting insurance coverage for it, and many disadvantaged people face barriers.” Then there’s the knowledge gap. “Patients and doctors have to know what the new guidelines are and who has access,” she said.
Reaching the target population in rural areas is particularly challenging with the greater distances to imaging centers. Another barrier is that most electronic health records do not identify eligible patients based on smoking and pack‐year history.
In Dr. Didwania’s view, professional medical societies have an important role to play in educating their members, and through them, patients. “Disseminating information about the new recommendations is the first step and would be incredibly helpful.”
A brief history of lung cancer screening
1950s: By mid-20th century, the causal association between tobacco exposure and lung cancer became clear and by the late 1950s attempts were made to develop a lung cancer screening strategy for high‐risk individuals, commonly with the combination of sputum cytology and chest x-ray.
1970s: The ACS recommended annual testing for current or former smokers with chest x-ray (and sometimes sputum cytology).
1980: The ACS withdrew the above recommendation for regular radiographic screening after randomized controlled trials failed to yield convincing evidence that such screening saved lives.
2013: After the National Lung Screening Trial found three annual LDCT screenings were associated with a 20% relative mortality reduction, compared with annual chest x-ray, the ACS issued a recommendation for annual screening with LDCT: in persons 55-74 years with a pack‐year history of 30 or more who currently smoke or formerly smoked but had not exceeded 15 years since quitting and had no life-limiting morbidity.
Future mortality
Although tobacco controls are expected to reduce age‐adjusted lung cancer mortality in the United States by 79% from 2015 to 2065, 4.4 million lung cancer deaths are projected to occur in this period, the authors stated. “A large fraction of these deaths can be prevented if we embrace the urgent challenge to improve our ability to identify the population at risk and apply our knowledge to achieve high rates of participation in regular [lung cancer screening].”
The study was funded by the American Cancer Society Guideline Development Group and the National Comprehensive Cancer Network. The authors disclosed no relevant competing interests. Dr. Golden and Dr. Didwania had no relevant conflicts of interest to declare with regard to their comments.
The American Cancer Society has updated its screening guidelines for lung cancer, the leading cause of cancer-specific deaths in the United States and the largest driver of potential years of life lost from cancer.
The 2023 screening guidance, aimed principally at reducing lung cancer mortality in asymptomatic but high-risk, tobacco-exposed individuals, expands the age eligibility and lowers both the former smoking history and the years since quitting threshold for screening with low-dose CT (LDCT).
It is based on the most recent evidence on the efficacy and effectiveness of screening and lung cancer risk in persons who formerly smoked, wrote the ACS’s Guideline Development Group led by Robert A. Smith, PhD, senior vice president of early cancer detection science. The new guidelines, which replace the 2013 statement, appear in CA: A Cancer Journal for Physicians.
The primary evidence source for the update was a systematic review of LDCT lung cancer screening conducted for the U.S. Preventive Services Task Force and published in 2021.
The new guideline continues a trend of expanding eligibility for lung cancer screening, which has had low uptake, to prevent more deaths. “Recent studies have shown that extending the age for persons who smoked and formerly smoked, eliminating the ‘years since quitting’ requirement, and lowering the pack-per-year recommendation could make a real difference in saving lives,” Dr. Smith said. “The relative risk of developing lung cancer in people who have smoked most of their life compared to people who never smoked is very high – about 70 times the risk.” Although lung cancer is the third most common malignancy in the United States, it accounts for more deaths than colorectal, breast, prostate, and cervical cancers combined.
The recommendation for annual LDCT for at-risk persons remains unchanged from 2013.
Among the 2023 eligibility changes:
- Age: Expanded to 50-80 years from 55-74 years.
- Smoking status: Changed to current or previous smoker from current smoker or smoker who quit within past 15 years (number of years since quitting no longer a criterion to start or stop screening). Dr. Smith noted that both the 2013 guidelines and other groups’ updated recommendations retained the eligibility cutoff of 15 years since smoking cessation. “But had their risk declined to a level that just did not justify continuing screening?” he asked. “There wasn’t an answer to that question, so we needed to look carefully at the absolute risk of lung cancer in persons who formerly smoked compared with people who currently smoked and people who never smoked.”
- Smoking history: Reduced to 20 or more pack-years (average of 20 cigarettes a day) versus 30 or more pack-years.
- Exclusions: Expanded to health conditions that may increase harm or hinder further evaluation, surgery, or treatment; comorbidities limiting life expectancy to fewer than 5 years; unwillingness to accept treatment for screen‐detected cancer, which was changed from 2013’s life‐limiting comorbid conditions, metallic implants or devices in the chest or back, home oxygen supplementation.
In addition, decision-making should be a shared process with a health professional providing the patient with information on the benefits, limitations, and harms of LDCT screening, as well as prescreening advice on smoking cessation and the offer of assistive counseling and pharmocotherapy.
“Overall, lung cancer screening remains one of the least used early cancer detection modalities in clinical practice. The new guidance opens up lung cancer screening to all former smokers regardless of time of cessation,” said internist William E. Golden, MD, MACP, a professor of medicine and public health at the University of Arkansas for Medical Sciences, Little Rock. “This may promote greater uptake in concert with greater availability of low-radiation CT scanning.”
While agreeing the expanded criteria will enfranchise nearly 5 million current and former U.S. smokers for screening and may reduce deaths, internist Aarati D. Didwania, MD, MMSCI, MACP, a professor of medicine and medical education at Northwestern University, Chicago, warned that increasing actual uptake may be an uphill battle. “The practical part of the equation is seeing that the scans get done. There is often a lag between a recommendation of a yearly test and getting insurance coverage for it, and many disadvantaged people face barriers.” Then there’s the knowledge gap. “Patients and doctors have to know what the new guidelines are and who has access,” she said.
Reaching the target population in rural areas is particularly challenging with the greater distances to imaging centers. Another barrier is that most electronic health records do not identify eligible patients based on smoking and pack‐year history.
In Dr. Didwania’s view, professional medical societies have an important role to play in educating their members, and through them, patients. “Disseminating information about the new recommendations is the first step and would be incredibly helpful.”
A brief history of lung cancer screening
1950s: By mid-20th century, the causal association between tobacco exposure and lung cancer became clear and by the late 1950s attempts were made to develop a lung cancer screening strategy for high‐risk individuals, commonly with the combination of sputum cytology and chest x-ray.
1970s: The ACS recommended annual testing for current or former smokers with chest x-ray (and sometimes sputum cytology).
1980: The ACS withdrew the above recommendation for regular radiographic screening after randomized controlled trials failed to yield convincing evidence that such screening saved lives.
2013: After the National Lung Screening Trial found three annual LDCT screenings were associated with a 20% relative mortality reduction, compared with annual chest x-ray, the ACS issued a recommendation for annual screening with LDCT: in persons 55-74 years with a pack‐year history of 30 or more who currently smoke or formerly smoked but had not exceeded 15 years since quitting and had no life-limiting morbidity.
Future mortality
Although tobacco controls are expected to reduce age‐adjusted lung cancer mortality in the United States by 79% from 2015 to 2065, 4.4 million lung cancer deaths are projected to occur in this period, the authors stated. “A large fraction of these deaths can be prevented if we embrace the urgent challenge to improve our ability to identify the population at risk and apply our knowledge to achieve high rates of participation in regular [lung cancer screening].”
The study was funded by the American Cancer Society Guideline Development Group and the National Comprehensive Cancer Network. The authors disclosed no relevant competing interests. Dr. Golden and Dr. Didwania had no relevant conflicts of interest to declare with regard to their comments.
The American Cancer Society has updated its screening guidelines for lung cancer, the leading cause of cancer-specific deaths in the United States and the largest driver of potential years of life lost from cancer.
The 2023 screening guidance, aimed principally at reducing lung cancer mortality in asymptomatic but high-risk, tobacco-exposed individuals, expands the age eligibility and lowers both the former smoking history and the years since quitting threshold for screening with low-dose CT (LDCT).
It is based on the most recent evidence on the efficacy and effectiveness of screening and lung cancer risk in persons who formerly smoked, wrote the ACS’s Guideline Development Group led by Robert A. Smith, PhD, senior vice president of early cancer detection science. The new guidelines, which replace the 2013 statement, appear in CA: A Cancer Journal for Physicians.
The primary evidence source for the update was a systematic review of LDCT lung cancer screening conducted for the U.S. Preventive Services Task Force and published in 2021.
The new guideline continues a trend of expanding eligibility for lung cancer screening, which has had low uptake, to prevent more deaths. “Recent studies have shown that extending the age for persons who smoked and formerly smoked, eliminating the ‘years since quitting’ requirement, and lowering the pack-per-year recommendation could make a real difference in saving lives,” Dr. Smith said. “The relative risk of developing lung cancer in people who have smoked most of their life compared to people who never smoked is very high – about 70 times the risk.” Although lung cancer is the third most common malignancy in the United States, it accounts for more deaths than colorectal, breast, prostate, and cervical cancers combined.
The recommendation for annual LDCT for at-risk persons remains unchanged from 2013.
Among the 2023 eligibility changes:
- Age: Expanded to 50-80 years from 55-74 years.
- Smoking status: Changed to current or previous smoker from current smoker or smoker who quit within past 15 years (number of years since quitting no longer a criterion to start or stop screening). Dr. Smith noted that both the 2013 guidelines and other groups’ updated recommendations retained the eligibility cutoff of 15 years since smoking cessation. “But had their risk declined to a level that just did not justify continuing screening?” he asked. “There wasn’t an answer to that question, so we needed to look carefully at the absolute risk of lung cancer in persons who formerly smoked compared with people who currently smoked and people who never smoked.”
- Smoking history: Reduced to 20 or more pack-years (average of 20 cigarettes a day) versus 30 or more pack-years.
- Exclusions: Expanded to health conditions that may increase harm or hinder further evaluation, surgery, or treatment; comorbidities limiting life expectancy to fewer than 5 years; unwillingness to accept treatment for screen‐detected cancer, which was changed from 2013’s life‐limiting comorbid conditions, metallic implants or devices in the chest or back, home oxygen supplementation.
In addition, decision-making should be a shared process with a health professional providing the patient with information on the benefits, limitations, and harms of LDCT screening, as well as prescreening advice on smoking cessation and the offer of assistive counseling and pharmocotherapy.
“Overall, lung cancer screening remains one of the least used early cancer detection modalities in clinical practice. The new guidance opens up lung cancer screening to all former smokers regardless of time of cessation,” said internist William E. Golden, MD, MACP, a professor of medicine and public health at the University of Arkansas for Medical Sciences, Little Rock. “This may promote greater uptake in concert with greater availability of low-radiation CT scanning.”
While agreeing the expanded criteria will enfranchise nearly 5 million current and former U.S. smokers for screening and may reduce deaths, internist Aarati D. Didwania, MD, MMSCI, MACP, a professor of medicine and medical education at Northwestern University, Chicago, warned that increasing actual uptake may be an uphill battle. “The practical part of the equation is seeing that the scans get done. There is often a lag between a recommendation of a yearly test and getting insurance coverage for it, and many disadvantaged people face barriers.” Then there’s the knowledge gap. “Patients and doctors have to know what the new guidelines are and who has access,” she said.
Reaching the target population in rural areas is particularly challenging with the greater distances to imaging centers. Another barrier is that most electronic health records do not identify eligible patients based on smoking and pack‐year history.
In Dr. Didwania’s view, professional medical societies have an important role to play in educating their members, and through them, patients. “Disseminating information about the new recommendations is the first step and would be incredibly helpful.”
A brief history of lung cancer screening
1950s: By mid-20th century, the causal association between tobacco exposure and lung cancer became clear and by the late 1950s attempts were made to develop a lung cancer screening strategy for high‐risk individuals, commonly with the combination of sputum cytology and chest x-ray.
1970s: The ACS recommended annual testing for current or former smokers with chest x-ray (and sometimes sputum cytology).
1980: The ACS withdrew the above recommendation for regular radiographic screening after randomized controlled trials failed to yield convincing evidence that such screening saved lives.
2013: After the National Lung Screening Trial found three annual LDCT screenings were associated with a 20% relative mortality reduction, compared with annual chest x-ray, the ACS issued a recommendation for annual screening with LDCT: in persons 55-74 years with a pack‐year history of 30 or more who currently smoke or formerly smoked but had not exceeded 15 years since quitting and had no life-limiting morbidity.
Future mortality
Although tobacco controls are expected to reduce age‐adjusted lung cancer mortality in the United States by 79% from 2015 to 2065, 4.4 million lung cancer deaths are projected to occur in this period, the authors stated. “A large fraction of these deaths can be prevented if we embrace the urgent challenge to improve our ability to identify the population at risk and apply our knowledge to achieve high rates of participation in regular [lung cancer screening].”
The study was funded by the American Cancer Society Guideline Development Group and the National Comprehensive Cancer Network. The authors disclosed no relevant competing interests. Dr. Golden and Dr. Didwania had no relevant conflicts of interest to declare with regard to their comments.
FROM CA: A CANCER JOURNAL FOR PHYSICIANS
Does diabetes affect colorectal cancer outcomes?
TOPLINE:
, while those with uncomplicated diabetes had insignificantly worse cancer outcomes.
METHODOLOGY:
- This population-based retrospective cohort study used 2007-2015 data from the Taiwan Cancer Registry, which is linked to national insurance and death registry data.
- The analysis included 59,202 adults with stage I-III CRC who underwent potentially curative surgery: 44,944 without diabetes, 8,864 with uncomplicated diabetes, and 5,394 with complicated diabetes.
- The association between diabetes severity and CRC survival, overall survival (OS), disease-free survival (DFS), time to recurrence, and cancer-specific survival (CSS) was examined.
TAKEAWAY:
- Patients with uncomplicated diabetes had insignificantly worse OS (hazard ratio, 1.05), DFS (HR, 1.08), and CSS (HR, 0.98), compared with peers who did not have diabetes.
- Patients with complicated diabetes were at significantly higher risk of poor OS (HR, 1.85), DFS (HR, 1.75), and CSS (HR, 1.41), compared with those without diabetes.
- Patients with diabetes were also at higher risk for CRC recurrence than those without diabetes.
- Except for recurrence risk, the impact of complicated diabetes on CRC survival – that is, OS, DFS, and CSS – was more pronounced among women and those with early-stage cancer.
IN PRACTICE:
“These findings indicate that preventing diabetes complications may help improve survival in patients with CRC, especially [in] female patients and those in the early stages of the disease. Thus, a multidisciplinary approach is recommended for patients with CRC,” the authors conclude.
SOURCE:
The study, with first author Hsin-Yin Hsu, MD, National Taiwan University, Taipei, was published online in the journal Cancer.
LIMITATIONS:
Only patients from Taiwan were included, which limits generalizability, because CRC prognosis may vary in accordance with race or cancer treatment strategy – factors that may differ among countries. Data on glucose levels and diabetes duration were unavailable, potentially leading to misclassification of diabetes status.
DISCLOSURES:
Funding was provided by the Ministry of Science and Technology and the Ministry of Health and Welfare. The authors have disclosed no relevant financial relationships.
A version of this article first appeared on Medscape.com.
TOPLINE:
, while those with uncomplicated diabetes had insignificantly worse cancer outcomes.
METHODOLOGY:
- This population-based retrospective cohort study used 2007-2015 data from the Taiwan Cancer Registry, which is linked to national insurance and death registry data.
- The analysis included 59,202 adults with stage I-III CRC who underwent potentially curative surgery: 44,944 without diabetes, 8,864 with uncomplicated diabetes, and 5,394 with complicated diabetes.
- The association between diabetes severity and CRC survival, overall survival (OS), disease-free survival (DFS), time to recurrence, and cancer-specific survival (CSS) was examined.
TAKEAWAY:
- Patients with uncomplicated diabetes had insignificantly worse OS (hazard ratio, 1.05), DFS (HR, 1.08), and CSS (HR, 0.98), compared with peers who did not have diabetes.
- Patients with complicated diabetes were at significantly higher risk of poor OS (HR, 1.85), DFS (HR, 1.75), and CSS (HR, 1.41), compared with those without diabetes.
- Patients with diabetes were also at higher risk for CRC recurrence than those without diabetes.
- Except for recurrence risk, the impact of complicated diabetes on CRC survival – that is, OS, DFS, and CSS – was more pronounced among women and those with early-stage cancer.
IN PRACTICE:
“These findings indicate that preventing diabetes complications may help improve survival in patients with CRC, especially [in] female patients and those in the early stages of the disease. Thus, a multidisciplinary approach is recommended for patients with CRC,” the authors conclude.
SOURCE:
The study, with first author Hsin-Yin Hsu, MD, National Taiwan University, Taipei, was published online in the journal Cancer.
LIMITATIONS:
Only patients from Taiwan were included, which limits generalizability, because CRC prognosis may vary in accordance with race or cancer treatment strategy – factors that may differ among countries. Data on glucose levels and diabetes duration were unavailable, potentially leading to misclassification of diabetes status.
DISCLOSURES:
Funding was provided by the Ministry of Science and Technology and the Ministry of Health and Welfare. The authors have disclosed no relevant financial relationships.
A version of this article first appeared on Medscape.com.
TOPLINE:
, while those with uncomplicated diabetes had insignificantly worse cancer outcomes.
METHODOLOGY:
- This population-based retrospective cohort study used 2007-2015 data from the Taiwan Cancer Registry, which is linked to national insurance and death registry data.
- The analysis included 59,202 adults with stage I-III CRC who underwent potentially curative surgery: 44,944 without diabetes, 8,864 with uncomplicated diabetes, and 5,394 with complicated diabetes.
- The association between diabetes severity and CRC survival, overall survival (OS), disease-free survival (DFS), time to recurrence, and cancer-specific survival (CSS) was examined.
TAKEAWAY:
- Patients with uncomplicated diabetes had insignificantly worse OS (hazard ratio, 1.05), DFS (HR, 1.08), and CSS (HR, 0.98), compared with peers who did not have diabetes.
- Patients with complicated diabetes were at significantly higher risk of poor OS (HR, 1.85), DFS (HR, 1.75), and CSS (HR, 1.41), compared with those without diabetes.
- Patients with diabetes were also at higher risk for CRC recurrence than those without diabetes.
- Except for recurrence risk, the impact of complicated diabetes on CRC survival – that is, OS, DFS, and CSS – was more pronounced among women and those with early-stage cancer.
IN PRACTICE:
“These findings indicate that preventing diabetes complications may help improve survival in patients with CRC, especially [in] female patients and those in the early stages of the disease. Thus, a multidisciplinary approach is recommended for patients with CRC,” the authors conclude.
SOURCE:
The study, with first author Hsin-Yin Hsu, MD, National Taiwan University, Taipei, was published online in the journal Cancer.
LIMITATIONS:
Only patients from Taiwan were included, which limits generalizability, because CRC prognosis may vary in accordance with race or cancer treatment strategy – factors that may differ among countries. Data on glucose levels and diabetes duration were unavailable, potentially leading to misclassification of diabetes status.
DISCLOSURES:
Funding was provided by the Ministry of Science and Technology and the Ministry of Health and Welfare. The authors have disclosed no relevant financial relationships.
A version of this article first appeared on Medscape.com.
Stripped privileges: An alarming precedent for community oncologists?
, Alliance Cancer Specialists.
The outcome, some community oncologists say, could set a new precedent in how far large health care organizations will go to take their patients or drive them out of business.
The case
On Sept. 5, Alliance sued Jefferson Health after Jefferson canceled the inpatient oncology/hematology privileges of five Alliance oncologists at three Jefferson Health-Northeast hospitals, primarily alleging that Jefferson was attempting to monopolize cancer care in the area.
Jefferson – one of the largest health care systems in the Philadelphia area that includes the NCI-designated Sidney Kimmel Cancer Center – made the move because it had entered into an exclusive agreement with its own medical group to provide inpatient and outpatient oncology/hematology services at the hospitals.
In its court filings, Jefferson said it entered into the exclusive agreement because doing so was in “the best interest of patients, as it would ensure better integration and availability of care and help ensure that Jefferson consistently provides high-quality medical care in accordance with evidence-based standards.”
Tensions had been building between Alliance and Jefferson for years, ever since, according to Alliance, the community practice declined a buyout offer from Jefferson almost a decade ago.
But the revocation of privileges ultimately tipped the scales for Alliance, sparking the lawsuit.
“For us, that crossed a line,” said Moshe Chasky, MD, one of the five Alliance oncologists and a plaintiff in the suit.
Dr. Chasky and his colleagues had provided care at the hospitals for years, with about 10-15 patients admitted at any one time. The quality of their care is not in dispute. Dr. Chasky, for instance, routinely makes Philadelphia Magazine’s Top Doc List.
Under the new arrangement, the five Alliance oncologists have to hand over care of their admitted patients to Jefferson oncologists or send their patients to another hospital farther away where they do have admitting privileges.
“Without having admitting privileges,” community oncologists “can’t look a patient in the eye and say, ‘No matter what, I’ve got you,’ ” explained Nicolas Ferreyros, managing director of policy, advocacy, and communications at the Community Oncology Alliance, a DC-based lobbying group for independent oncologists.
“A doctor doesn’t want to tell a patient that ‘once you go in the hospital, I have to hand you off.’ ” It undermines their practice, Mr. Ferreyros said.
The situation has caught the attention of other community oncologists who are worried that hospitals canceling admitting privileges might become a new tactic in what they characterize as an ongoing effort to elbow-out independent practitioners and corner the oncology market.
Dr. Chasky said he is getting “calls every day from independent oncologists throughout the country” who “are very concerned. People are watching this for sure.”
Alliance attorney Daniel Frier said that there is nothing unusual about hospitals entering into exclusive contracts with hospital-based practices.
But Mr. Frier said he’s never heard of a hospital entering into an exclusive contract and then terminating the privileges of community oncologists.
“There’s no direct precedent” for the move, he said.
Jefferson Health did not respond to requests for comment.
The ruling
U.S. District Court Judge Kai Scott, who ruled on Alliance’s motion to block the contract and preserve its oncologists’ admitting privileges, ultimately sided with Jefferson and allowed the contract to go forward.
Judge Scott wrote that, “while the court understands the plaintiffs’ concerns and desires to maintain the continuity of care for their own patients,” the court “is not persuaded that either of the two threshold elements for a temporary restraining order or preliminary injunction are met” – first, that Jefferson’s actions violate antitrust laws and second that the plaintiffs “will suffer immediate, irreparable harm” from having their admitting privileges rescinded.
Alliance argued that Jefferson’s contract violated federal antitrust laws and would allow Jefferson to monopolize the local oncology market.
However, Judge Scott called Alliance’s antitrust argument “lifeless” under the strict requirements for antitrust violations, explaining that, among other reasons, a monopoly is unlikely given that Jefferson competes with several high-profile oncology programs in the Philadelphia area, including the Fox Chase Cancer Center.
Judge Scott also expressed doubt that the Jefferson’s actions would cause irreparable harm to Alliance’s business. Alliance employs more than thirty oncologists affiliated with over a dozen hospitals in the greater Philadelphia area, and the inpatient services provided at Jefferson Health-Northeast did not represent a major part of its business.
Despite her ruling, Judge Scott did voice skepticism about some of Jefferson’s arguments.
“The court notes that the Jefferson defendants have briefly argued that Jefferson will be better able to ensure that its own patients receive fully integrated and coordinated care” under the exclusive provider agreement, but “it is unclear how the cooperation of ACS [Alliance Cancer Specialists] and JNE [Jefferson Health-Northeast] hospitalists really caused any problems for the coordinated care of” patients in the many years that they worked together.
It also “does not seem to necessarily serve the community to quickly sever the artery between the services that ACS provides and the services that JNE provides,” Judge Scott wrote.
She added that she would consider another motion from Alliance if the practice makes stronger arguments illustrating antitrust violations and demonstrating irreparable harm.
Currently, Dr. Chasky and Mr. Frier are considering their next steps in the case. The oncologists said they can appeal the judge’s decision or file a new complaint.
Meanwhile, Dr. Chasky and his four colleagues requested and were granted internal medicine privileges at Jefferson Health-Northeast, but given the considerable overlap between oncology and internal medicine, the line between what they can and cannot do remains unclear.
“It’s a mess,” he said.
A familiar story
Large health care entities have increasingly worked to push out or swallow up smaller, independent practices for years.
“What Dr. Chasky and his practice are going through is a little bit more of an aggressive version of what’s going on in the rest of the country,” said Michael Diaz, MD, a community oncologist at Florida Cancer Specialists, the largest independent medical oncology/hematology group in the United States. “The larger institutional hospitals try to make it a closed system so they can keep everything in-house and refer to their own physicians.”
The incentive, Dr. Diaz said, is the financial windfall that Section 340B of the 1992 Public Health Service Act generates for hospital-based oncology services at nonprofit hospitals, such as the Jefferson Health-Northeast facilities.
The 340B program allows nonprofit hospitals to buy primarily outpatient oncology drugs at steep discounts, sometimes 50% or more, and be reimbursed at full price.
When launched in 1992, the program was meant to help a handful of safety-net hospitals cover the cost of charity care, and now approximately more than half of U.S. hospitals participate in the program, particularly after requirements were loosened by the Affordable Care Act. But there’s little transparency on how the money is spent.
Critics say the incentives have created a feeding frenzy among 340B hospitals to either acquire outpatient oncology practices or take their business because of the particularly high margins on oncology drugs. There are similar incentives for hospital-based infusion centers.
In its lawsuit, Alliance alleged that such incentives are what motivated Jefferson’s recent actions.
“It’s all about the money at the end of the day,” said Christian Thomas, MD, a community oncologist with New England Cancer Specialists, Scarborough, Maine, who, like Dr. Diaz, said he’s seen the dynamic play out repeatedly in his career.
The American Hospital Association has been a vigorous defender of 340B in the courts and elsewhere, but the Association’s communications staff had little to say when this news organization reached out about the Jefferson-Alliance situation, except that they do not comment on “specific hospital circumstance.”
Reverberations around the country
Many community oncologists are keeping close tabs on the Jefferson-Alliance situation.
“Our group has been watching Jefferson closely because our [local] hospital is following the same playbook, but they have not yet gone after our privileges,” said Scott Herbert, MD, a community oncologist with the independent Nexus Health system, Sante Fe, N.M.
Dr. Herbert was referring to what has happened since he and his colleagues declined to renew an exclusive provider agreement early this year with St. Vincent Regional Medical Center, a nonprofit hospital in Sante Fe. The agreement allowed the hospital to take advantage of the 340B program because Nexus oncologists acted on its behalf.
St. Vincent’s owner, Christus Health, did not respond to inquiries from this news organization.
Nexus let the contract lapse because its oncologists wanted to provide services at a second, newer hospital in Santa Fe where some of their patients had begun seeking treatment.
The nonprofit hospital in Sante Fe is now building its own oncology practice. Similar to Dr. Chasky’s experience in Philadelphia, Dr. Herbert said his group has seen referrals from the hospital dry up and existing patients rechanneled to the hospital’s oncologists.
“We found over 109 patients in January and February that were referred to one of our docs that got rerouted to one of their docs,” he said.
Dr. Herbert has sent cease-and-desist letters, but “after we saw what Jefferson did, my group said, ‘You better back off of the hospital, or it’s going to take our privileges.’ ”
The Jefferson situation “is sending a message,” he said. “Frankly, we’ve been terrified” at the thought of losing privileges there. “It’s the busiest hospital in our area.”
The future of community oncology
Despite the challenges, Mr. Ferreyros at the Community Oncology Alliance remains optimistic about the future of independent oncology.
Under the competitive pressures, a lot of independent oncology practices have folded in recent years, but the ones that remain are strong. Payers are also increasingly noticing that community oncology practices are less expensive than hospital-based practices for comparable care, he said.
Relationships with hospitals aren’t always adversarial, either. “A lot of practices have collaborative agreements with local hospitals” that work out well, Mr. Ferreyros said, adding that sometimes hospitals even hand over oncology care to local independents after finding that starting and maintaining an oncology service is harder than they imagined.
“The last two decades have been difficult,” but the remaining community oncology practices “are going strong,” he said, and “we’ve never seen more engagement on our issues,” particularly around the issue of cost savings.
A version of this article first appeared on Medscape.com.
, Alliance Cancer Specialists.
The outcome, some community oncologists say, could set a new precedent in how far large health care organizations will go to take their patients or drive them out of business.
The case
On Sept. 5, Alliance sued Jefferson Health after Jefferson canceled the inpatient oncology/hematology privileges of five Alliance oncologists at three Jefferson Health-Northeast hospitals, primarily alleging that Jefferson was attempting to monopolize cancer care in the area.
Jefferson – one of the largest health care systems in the Philadelphia area that includes the NCI-designated Sidney Kimmel Cancer Center – made the move because it had entered into an exclusive agreement with its own medical group to provide inpatient and outpatient oncology/hematology services at the hospitals.
In its court filings, Jefferson said it entered into the exclusive agreement because doing so was in “the best interest of patients, as it would ensure better integration and availability of care and help ensure that Jefferson consistently provides high-quality medical care in accordance with evidence-based standards.”
Tensions had been building between Alliance and Jefferson for years, ever since, according to Alliance, the community practice declined a buyout offer from Jefferson almost a decade ago.
But the revocation of privileges ultimately tipped the scales for Alliance, sparking the lawsuit.
“For us, that crossed a line,” said Moshe Chasky, MD, one of the five Alliance oncologists and a plaintiff in the suit.
Dr. Chasky and his colleagues had provided care at the hospitals for years, with about 10-15 patients admitted at any one time. The quality of their care is not in dispute. Dr. Chasky, for instance, routinely makes Philadelphia Magazine’s Top Doc List.
Under the new arrangement, the five Alliance oncologists have to hand over care of their admitted patients to Jefferson oncologists or send their patients to another hospital farther away where they do have admitting privileges.
“Without having admitting privileges,” community oncologists “can’t look a patient in the eye and say, ‘No matter what, I’ve got you,’ ” explained Nicolas Ferreyros, managing director of policy, advocacy, and communications at the Community Oncology Alliance, a DC-based lobbying group for independent oncologists.
“A doctor doesn’t want to tell a patient that ‘once you go in the hospital, I have to hand you off.’ ” It undermines their practice, Mr. Ferreyros said.
The situation has caught the attention of other community oncologists who are worried that hospitals canceling admitting privileges might become a new tactic in what they characterize as an ongoing effort to elbow-out independent practitioners and corner the oncology market.
Dr. Chasky said he is getting “calls every day from independent oncologists throughout the country” who “are very concerned. People are watching this for sure.”
Alliance attorney Daniel Frier said that there is nothing unusual about hospitals entering into exclusive contracts with hospital-based practices.
But Mr. Frier said he’s never heard of a hospital entering into an exclusive contract and then terminating the privileges of community oncologists.
“There’s no direct precedent” for the move, he said.
Jefferson Health did not respond to requests for comment.
The ruling
U.S. District Court Judge Kai Scott, who ruled on Alliance’s motion to block the contract and preserve its oncologists’ admitting privileges, ultimately sided with Jefferson and allowed the contract to go forward.
Judge Scott wrote that, “while the court understands the plaintiffs’ concerns and desires to maintain the continuity of care for their own patients,” the court “is not persuaded that either of the two threshold elements for a temporary restraining order or preliminary injunction are met” – first, that Jefferson’s actions violate antitrust laws and second that the plaintiffs “will suffer immediate, irreparable harm” from having their admitting privileges rescinded.
Alliance argued that Jefferson’s contract violated federal antitrust laws and would allow Jefferson to monopolize the local oncology market.
However, Judge Scott called Alliance’s antitrust argument “lifeless” under the strict requirements for antitrust violations, explaining that, among other reasons, a monopoly is unlikely given that Jefferson competes with several high-profile oncology programs in the Philadelphia area, including the Fox Chase Cancer Center.
Judge Scott also expressed doubt that the Jefferson’s actions would cause irreparable harm to Alliance’s business. Alliance employs more than thirty oncologists affiliated with over a dozen hospitals in the greater Philadelphia area, and the inpatient services provided at Jefferson Health-Northeast did not represent a major part of its business.
Despite her ruling, Judge Scott did voice skepticism about some of Jefferson’s arguments.
“The court notes that the Jefferson defendants have briefly argued that Jefferson will be better able to ensure that its own patients receive fully integrated and coordinated care” under the exclusive provider agreement, but “it is unclear how the cooperation of ACS [Alliance Cancer Specialists] and JNE [Jefferson Health-Northeast] hospitalists really caused any problems for the coordinated care of” patients in the many years that they worked together.
It also “does not seem to necessarily serve the community to quickly sever the artery between the services that ACS provides and the services that JNE provides,” Judge Scott wrote.
She added that she would consider another motion from Alliance if the practice makes stronger arguments illustrating antitrust violations and demonstrating irreparable harm.
Currently, Dr. Chasky and Mr. Frier are considering their next steps in the case. The oncologists said they can appeal the judge’s decision or file a new complaint.
Meanwhile, Dr. Chasky and his four colleagues requested and were granted internal medicine privileges at Jefferson Health-Northeast, but given the considerable overlap between oncology and internal medicine, the line between what they can and cannot do remains unclear.
“It’s a mess,” he said.
A familiar story
Large health care entities have increasingly worked to push out or swallow up smaller, independent practices for years.
“What Dr. Chasky and his practice are going through is a little bit more of an aggressive version of what’s going on in the rest of the country,” said Michael Diaz, MD, a community oncologist at Florida Cancer Specialists, the largest independent medical oncology/hematology group in the United States. “The larger institutional hospitals try to make it a closed system so they can keep everything in-house and refer to their own physicians.”
The incentive, Dr. Diaz said, is the financial windfall that Section 340B of the 1992 Public Health Service Act generates for hospital-based oncology services at nonprofit hospitals, such as the Jefferson Health-Northeast facilities.
The 340B program allows nonprofit hospitals to buy primarily outpatient oncology drugs at steep discounts, sometimes 50% or more, and be reimbursed at full price.
When launched in 1992, the program was meant to help a handful of safety-net hospitals cover the cost of charity care, and now approximately more than half of U.S. hospitals participate in the program, particularly after requirements were loosened by the Affordable Care Act. But there’s little transparency on how the money is spent.
Critics say the incentives have created a feeding frenzy among 340B hospitals to either acquire outpatient oncology practices or take their business because of the particularly high margins on oncology drugs. There are similar incentives for hospital-based infusion centers.
In its lawsuit, Alliance alleged that such incentives are what motivated Jefferson’s recent actions.
“It’s all about the money at the end of the day,” said Christian Thomas, MD, a community oncologist with New England Cancer Specialists, Scarborough, Maine, who, like Dr. Diaz, said he’s seen the dynamic play out repeatedly in his career.
The American Hospital Association has been a vigorous defender of 340B in the courts and elsewhere, but the Association’s communications staff had little to say when this news organization reached out about the Jefferson-Alliance situation, except that they do not comment on “specific hospital circumstance.”
Reverberations around the country
Many community oncologists are keeping close tabs on the Jefferson-Alliance situation.
“Our group has been watching Jefferson closely because our [local] hospital is following the same playbook, but they have not yet gone after our privileges,” said Scott Herbert, MD, a community oncologist with the independent Nexus Health system, Sante Fe, N.M.
Dr. Herbert was referring to what has happened since he and his colleagues declined to renew an exclusive provider agreement early this year with St. Vincent Regional Medical Center, a nonprofit hospital in Sante Fe. The agreement allowed the hospital to take advantage of the 340B program because Nexus oncologists acted on its behalf.
St. Vincent’s owner, Christus Health, did not respond to inquiries from this news organization.
Nexus let the contract lapse because its oncologists wanted to provide services at a second, newer hospital in Santa Fe where some of their patients had begun seeking treatment.
The nonprofit hospital in Sante Fe is now building its own oncology practice. Similar to Dr. Chasky’s experience in Philadelphia, Dr. Herbert said his group has seen referrals from the hospital dry up and existing patients rechanneled to the hospital’s oncologists.
“We found over 109 patients in January and February that were referred to one of our docs that got rerouted to one of their docs,” he said.
Dr. Herbert has sent cease-and-desist letters, but “after we saw what Jefferson did, my group said, ‘You better back off of the hospital, or it’s going to take our privileges.’ ”
The Jefferson situation “is sending a message,” he said. “Frankly, we’ve been terrified” at the thought of losing privileges there. “It’s the busiest hospital in our area.”
The future of community oncology
Despite the challenges, Mr. Ferreyros at the Community Oncology Alliance remains optimistic about the future of independent oncology.
Under the competitive pressures, a lot of independent oncology practices have folded in recent years, but the ones that remain are strong. Payers are also increasingly noticing that community oncology practices are less expensive than hospital-based practices for comparable care, he said.
Relationships with hospitals aren’t always adversarial, either. “A lot of practices have collaborative agreements with local hospitals” that work out well, Mr. Ferreyros said, adding that sometimes hospitals even hand over oncology care to local independents after finding that starting and maintaining an oncology service is harder than they imagined.
“The last two decades have been difficult,” but the remaining community oncology practices “are going strong,” he said, and “we’ve never seen more engagement on our issues,” particularly around the issue of cost savings.
A version of this article first appeared on Medscape.com.
, Alliance Cancer Specialists.
The outcome, some community oncologists say, could set a new precedent in how far large health care organizations will go to take their patients or drive them out of business.
The case
On Sept. 5, Alliance sued Jefferson Health after Jefferson canceled the inpatient oncology/hematology privileges of five Alliance oncologists at three Jefferson Health-Northeast hospitals, primarily alleging that Jefferson was attempting to monopolize cancer care in the area.
Jefferson – one of the largest health care systems in the Philadelphia area that includes the NCI-designated Sidney Kimmel Cancer Center – made the move because it had entered into an exclusive agreement with its own medical group to provide inpatient and outpatient oncology/hematology services at the hospitals.
In its court filings, Jefferson said it entered into the exclusive agreement because doing so was in “the best interest of patients, as it would ensure better integration and availability of care and help ensure that Jefferson consistently provides high-quality medical care in accordance with evidence-based standards.”
Tensions had been building between Alliance and Jefferson for years, ever since, according to Alliance, the community practice declined a buyout offer from Jefferson almost a decade ago.
But the revocation of privileges ultimately tipped the scales for Alliance, sparking the lawsuit.
“For us, that crossed a line,” said Moshe Chasky, MD, one of the five Alliance oncologists and a plaintiff in the suit.
Dr. Chasky and his colleagues had provided care at the hospitals for years, with about 10-15 patients admitted at any one time. The quality of their care is not in dispute. Dr. Chasky, for instance, routinely makes Philadelphia Magazine’s Top Doc List.
Under the new arrangement, the five Alliance oncologists have to hand over care of their admitted patients to Jefferson oncologists or send their patients to another hospital farther away where they do have admitting privileges.
“Without having admitting privileges,” community oncologists “can’t look a patient in the eye and say, ‘No matter what, I’ve got you,’ ” explained Nicolas Ferreyros, managing director of policy, advocacy, and communications at the Community Oncology Alliance, a DC-based lobbying group for independent oncologists.
“A doctor doesn’t want to tell a patient that ‘once you go in the hospital, I have to hand you off.’ ” It undermines their practice, Mr. Ferreyros said.
The situation has caught the attention of other community oncologists who are worried that hospitals canceling admitting privileges might become a new tactic in what they characterize as an ongoing effort to elbow-out independent practitioners and corner the oncology market.
Dr. Chasky said he is getting “calls every day from independent oncologists throughout the country” who “are very concerned. People are watching this for sure.”
Alliance attorney Daniel Frier said that there is nothing unusual about hospitals entering into exclusive contracts with hospital-based practices.
But Mr. Frier said he’s never heard of a hospital entering into an exclusive contract and then terminating the privileges of community oncologists.
“There’s no direct precedent” for the move, he said.
Jefferson Health did not respond to requests for comment.
The ruling
U.S. District Court Judge Kai Scott, who ruled on Alliance’s motion to block the contract and preserve its oncologists’ admitting privileges, ultimately sided with Jefferson and allowed the contract to go forward.
Judge Scott wrote that, “while the court understands the plaintiffs’ concerns and desires to maintain the continuity of care for their own patients,” the court “is not persuaded that either of the two threshold elements for a temporary restraining order or preliminary injunction are met” – first, that Jefferson’s actions violate antitrust laws and second that the plaintiffs “will suffer immediate, irreparable harm” from having their admitting privileges rescinded.
Alliance argued that Jefferson’s contract violated federal antitrust laws and would allow Jefferson to monopolize the local oncology market.
However, Judge Scott called Alliance’s antitrust argument “lifeless” under the strict requirements for antitrust violations, explaining that, among other reasons, a monopoly is unlikely given that Jefferson competes with several high-profile oncology programs in the Philadelphia area, including the Fox Chase Cancer Center.
Judge Scott also expressed doubt that the Jefferson’s actions would cause irreparable harm to Alliance’s business. Alliance employs more than thirty oncologists affiliated with over a dozen hospitals in the greater Philadelphia area, and the inpatient services provided at Jefferson Health-Northeast did not represent a major part of its business.
Despite her ruling, Judge Scott did voice skepticism about some of Jefferson’s arguments.
“The court notes that the Jefferson defendants have briefly argued that Jefferson will be better able to ensure that its own patients receive fully integrated and coordinated care” under the exclusive provider agreement, but “it is unclear how the cooperation of ACS [Alliance Cancer Specialists] and JNE [Jefferson Health-Northeast] hospitalists really caused any problems for the coordinated care of” patients in the many years that they worked together.
It also “does not seem to necessarily serve the community to quickly sever the artery between the services that ACS provides and the services that JNE provides,” Judge Scott wrote.
She added that she would consider another motion from Alliance if the practice makes stronger arguments illustrating antitrust violations and demonstrating irreparable harm.
Currently, Dr. Chasky and Mr. Frier are considering their next steps in the case. The oncologists said they can appeal the judge’s decision or file a new complaint.
Meanwhile, Dr. Chasky and his four colleagues requested and were granted internal medicine privileges at Jefferson Health-Northeast, but given the considerable overlap between oncology and internal medicine, the line between what they can and cannot do remains unclear.
“It’s a mess,” he said.
A familiar story
Large health care entities have increasingly worked to push out or swallow up smaller, independent practices for years.
“What Dr. Chasky and his practice are going through is a little bit more of an aggressive version of what’s going on in the rest of the country,” said Michael Diaz, MD, a community oncologist at Florida Cancer Specialists, the largest independent medical oncology/hematology group in the United States. “The larger institutional hospitals try to make it a closed system so they can keep everything in-house and refer to their own physicians.”
The incentive, Dr. Diaz said, is the financial windfall that Section 340B of the 1992 Public Health Service Act generates for hospital-based oncology services at nonprofit hospitals, such as the Jefferson Health-Northeast facilities.
The 340B program allows nonprofit hospitals to buy primarily outpatient oncology drugs at steep discounts, sometimes 50% or more, and be reimbursed at full price.
When launched in 1992, the program was meant to help a handful of safety-net hospitals cover the cost of charity care, and now approximately more than half of U.S. hospitals participate in the program, particularly after requirements were loosened by the Affordable Care Act. But there’s little transparency on how the money is spent.
Critics say the incentives have created a feeding frenzy among 340B hospitals to either acquire outpatient oncology practices or take their business because of the particularly high margins on oncology drugs. There are similar incentives for hospital-based infusion centers.
In its lawsuit, Alliance alleged that such incentives are what motivated Jefferson’s recent actions.
“It’s all about the money at the end of the day,” said Christian Thomas, MD, a community oncologist with New England Cancer Specialists, Scarborough, Maine, who, like Dr. Diaz, said he’s seen the dynamic play out repeatedly in his career.
The American Hospital Association has been a vigorous defender of 340B in the courts and elsewhere, but the Association’s communications staff had little to say when this news organization reached out about the Jefferson-Alliance situation, except that they do not comment on “specific hospital circumstance.”
Reverberations around the country
Many community oncologists are keeping close tabs on the Jefferson-Alliance situation.
“Our group has been watching Jefferson closely because our [local] hospital is following the same playbook, but they have not yet gone after our privileges,” said Scott Herbert, MD, a community oncologist with the independent Nexus Health system, Sante Fe, N.M.
Dr. Herbert was referring to what has happened since he and his colleagues declined to renew an exclusive provider agreement early this year with St. Vincent Regional Medical Center, a nonprofit hospital in Sante Fe. The agreement allowed the hospital to take advantage of the 340B program because Nexus oncologists acted on its behalf.
St. Vincent’s owner, Christus Health, did not respond to inquiries from this news organization.
Nexus let the contract lapse because its oncologists wanted to provide services at a second, newer hospital in Santa Fe where some of their patients had begun seeking treatment.
The nonprofit hospital in Sante Fe is now building its own oncology practice. Similar to Dr. Chasky’s experience in Philadelphia, Dr. Herbert said his group has seen referrals from the hospital dry up and existing patients rechanneled to the hospital’s oncologists.
“We found over 109 patients in January and February that were referred to one of our docs that got rerouted to one of their docs,” he said.
Dr. Herbert has sent cease-and-desist letters, but “after we saw what Jefferson did, my group said, ‘You better back off of the hospital, or it’s going to take our privileges.’ ”
The Jefferson situation “is sending a message,” he said. “Frankly, we’ve been terrified” at the thought of losing privileges there. “It’s the busiest hospital in our area.”
The future of community oncology
Despite the challenges, Mr. Ferreyros at the Community Oncology Alliance remains optimistic about the future of independent oncology.
Under the competitive pressures, a lot of independent oncology practices have folded in recent years, but the ones that remain are strong. Payers are also increasingly noticing that community oncology practices are less expensive than hospital-based practices for comparable care, he said.
Relationships with hospitals aren’t always adversarial, either. “A lot of practices have collaborative agreements with local hospitals” that work out well, Mr. Ferreyros said, adding that sometimes hospitals even hand over oncology care to local independents after finding that starting and maintaining an oncology service is harder than they imagined.
“The last two decades have been difficult,” but the remaining community oncology practices “are going strong,” he said, and “we’ve never seen more engagement on our issues,” particularly around the issue of cost savings.
A version of this article first appeared on Medscape.com.
AI flagged skin cancer with near-perfect accuracy, in UK study
. AI detected more than 99% of all skin cancers.
The researchers tested the AI by integrating it into a clinical diagnosis process – anticipating a future in which AI helps doctors catch skin cancer faster and triage patients.
Skin cancer is the most common cancer in the United States; one in five 5 Americans develop skin cancer by age 70. With melanoma, the deadliest skin cancer, the 5-year survival rate is better than 99% if caught early, though only about three-quarters of melanomas are caught at this stage.
Amid rising skin cancer rates come concerns that the number of dermatologists in the workforce isn’t keeping pace. That may be why the average wait time for a dermatology appointment is trending up – in 2022, it reached 34.5 days.
The study, which was presented at the European Academy of Dermatology and Venereology Congress recently and has not yet been published, involved 6,900 patients in the United Kingdom with suspected skin cancer. The patients had been referred by their primary care physicians. The researchers took images of the suspicious areas and uploaded them to the AI software. The AI’s assessment was then shared with a dermatologist.
“Note that the diagnosis issued by the AI was not hidden from the dermatologist doing the second assessment,” said lead researcher Kashini Andrew, MBBS, a dermatologist and specialist registrar at University Hospitals Birmingham NHS Foundation Trust.
Dr. Andrew acknowledged that this may have influenced the dermatologist’s opinion. But that’s the vision of how doctors could use this tool.
The AI caught 59 of 59 melanomas and 189 of 190 total skin cancers (99.5%). (The one case that the AI missed was caught by the dermatologist.) It also flagged 541 of 585 precancerous lesions (92.5%). This represented a big improvement from a 2021 version of the model, which detected 86% of melanomas, 84% of all skin cancers, and 54% of precancerous lesions.
Over the 10-month period of the study, the system saved more than 1,000 face-to-face consultations, freeing dermatologists’ time to catch more cancers and serve more patients.
Limitations
The patients in the study were from “one hospital in a single region of the UK,” and the sample was not large enough to allow broad statements to be made about the use of AI in dermatology, Dr. Andrew said.
But it can open the conversation. Roxana Daneshjou, MD, PhD, a dermatologist at Stanford (Calif.) University who has studied the pros and cons of AI in medicine, had some concerns. For one thing, doctors can gather more in-depth information during an in-person exam than AI can glean from a photo, Dr. Daneshjou noted. They can examine skin texture, gather patient history, and take photos with special lighting and magnification.
And the AI needs to get better at ruling out malignancy, Dr. Daneshjou said. In this study, the AI identified 75% of benign lesions, a decline from the earlier version. The researchers noted in the abstract that this is a potential trade-off for increased sensitivity.
“[Unnecessary] biopsies can clog up the health care system, cost money, and cause stress and scarring,” said Dr. Daneshjou. “You don’t want to increase the burden of that.”
Still, if AI software such as the kind used in the study proves just as accurate in larger, more diverse sample sizes, then it could be a powerful tool for triage, Dr. Daneshjou said. “If AI gets particularly good at finding malignancy and also ruling it out, that would be a win.”
A version of this article appeared on Medscape.com.
. AI detected more than 99% of all skin cancers.
The researchers tested the AI by integrating it into a clinical diagnosis process – anticipating a future in which AI helps doctors catch skin cancer faster and triage patients.
Skin cancer is the most common cancer in the United States; one in five 5 Americans develop skin cancer by age 70. With melanoma, the deadliest skin cancer, the 5-year survival rate is better than 99% if caught early, though only about three-quarters of melanomas are caught at this stage.
Amid rising skin cancer rates come concerns that the number of dermatologists in the workforce isn’t keeping pace. That may be why the average wait time for a dermatology appointment is trending up – in 2022, it reached 34.5 days.
The study, which was presented at the European Academy of Dermatology and Venereology Congress recently and has not yet been published, involved 6,900 patients in the United Kingdom with suspected skin cancer. The patients had been referred by their primary care physicians. The researchers took images of the suspicious areas and uploaded them to the AI software. The AI’s assessment was then shared with a dermatologist.
“Note that the diagnosis issued by the AI was not hidden from the dermatologist doing the second assessment,” said lead researcher Kashini Andrew, MBBS, a dermatologist and specialist registrar at University Hospitals Birmingham NHS Foundation Trust.
Dr. Andrew acknowledged that this may have influenced the dermatologist’s opinion. But that’s the vision of how doctors could use this tool.
The AI caught 59 of 59 melanomas and 189 of 190 total skin cancers (99.5%). (The one case that the AI missed was caught by the dermatologist.) It also flagged 541 of 585 precancerous lesions (92.5%). This represented a big improvement from a 2021 version of the model, which detected 86% of melanomas, 84% of all skin cancers, and 54% of precancerous lesions.
Over the 10-month period of the study, the system saved more than 1,000 face-to-face consultations, freeing dermatologists’ time to catch more cancers and serve more patients.
Limitations
The patients in the study were from “one hospital in a single region of the UK,” and the sample was not large enough to allow broad statements to be made about the use of AI in dermatology, Dr. Andrew said.
But it can open the conversation. Roxana Daneshjou, MD, PhD, a dermatologist at Stanford (Calif.) University who has studied the pros and cons of AI in medicine, had some concerns. For one thing, doctors can gather more in-depth information during an in-person exam than AI can glean from a photo, Dr. Daneshjou noted. They can examine skin texture, gather patient history, and take photos with special lighting and magnification.
And the AI needs to get better at ruling out malignancy, Dr. Daneshjou said. In this study, the AI identified 75% of benign lesions, a decline from the earlier version. The researchers noted in the abstract that this is a potential trade-off for increased sensitivity.
“[Unnecessary] biopsies can clog up the health care system, cost money, and cause stress and scarring,” said Dr. Daneshjou. “You don’t want to increase the burden of that.”
Still, if AI software such as the kind used in the study proves just as accurate in larger, more diverse sample sizes, then it could be a powerful tool for triage, Dr. Daneshjou said. “If AI gets particularly good at finding malignancy and also ruling it out, that would be a win.”
A version of this article appeared on Medscape.com.
. AI detected more than 99% of all skin cancers.
The researchers tested the AI by integrating it into a clinical diagnosis process – anticipating a future in which AI helps doctors catch skin cancer faster and triage patients.
Skin cancer is the most common cancer in the United States; one in five 5 Americans develop skin cancer by age 70. With melanoma, the deadliest skin cancer, the 5-year survival rate is better than 99% if caught early, though only about three-quarters of melanomas are caught at this stage.
Amid rising skin cancer rates come concerns that the number of dermatologists in the workforce isn’t keeping pace. That may be why the average wait time for a dermatology appointment is trending up – in 2022, it reached 34.5 days.
The study, which was presented at the European Academy of Dermatology and Venereology Congress recently and has not yet been published, involved 6,900 patients in the United Kingdom with suspected skin cancer. The patients had been referred by their primary care physicians. The researchers took images of the suspicious areas and uploaded them to the AI software. The AI’s assessment was then shared with a dermatologist.
“Note that the diagnosis issued by the AI was not hidden from the dermatologist doing the second assessment,” said lead researcher Kashini Andrew, MBBS, a dermatologist and specialist registrar at University Hospitals Birmingham NHS Foundation Trust.
Dr. Andrew acknowledged that this may have influenced the dermatologist’s opinion. But that’s the vision of how doctors could use this tool.
The AI caught 59 of 59 melanomas and 189 of 190 total skin cancers (99.5%). (The one case that the AI missed was caught by the dermatologist.) It also flagged 541 of 585 precancerous lesions (92.5%). This represented a big improvement from a 2021 version of the model, which detected 86% of melanomas, 84% of all skin cancers, and 54% of precancerous lesions.
Over the 10-month period of the study, the system saved more than 1,000 face-to-face consultations, freeing dermatologists’ time to catch more cancers and serve more patients.
Limitations
The patients in the study were from “one hospital in a single region of the UK,” and the sample was not large enough to allow broad statements to be made about the use of AI in dermatology, Dr. Andrew said.
But it can open the conversation. Roxana Daneshjou, MD, PhD, a dermatologist at Stanford (Calif.) University who has studied the pros and cons of AI in medicine, had some concerns. For one thing, doctors can gather more in-depth information during an in-person exam than AI can glean from a photo, Dr. Daneshjou noted. They can examine skin texture, gather patient history, and take photos with special lighting and magnification.
And the AI needs to get better at ruling out malignancy, Dr. Daneshjou said. In this study, the AI identified 75% of benign lesions, a decline from the earlier version. The researchers noted in the abstract that this is a potential trade-off for increased sensitivity.
“[Unnecessary] biopsies can clog up the health care system, cost money, and cause stress and scarring,” said Dr. Daneshjou. “You don’t want to increase the burden of that.”
Still, if AI software such as the kind used in the study proves just as accurate in larger, more diverse sample sizes, then it could be a powerful tool for triage, Dr. Daneshjou said. “If AI gets particularly good at finding malignancy and also ruling it out, that would be a win.”
A version of this article appeared on Medscape.com.
FROM THE EADV CONGRESS
Ketamine no better for depression than placebo?
TOPLINE:
results of a new study suggest, contradicting prior research. Although symptoms improved in both study groups, investigators say participants’ expectations of an improvement from ketamine may be driving that result.
METHODOLOGY:
- The randomized, placebo-controlled trial included 40 patients who had previously been diagnosed with MDD and who were scheduled for elective noncardiac, nonintracranial surgery.
- Participants completed pre- and postsurgery depression screenings with the Patient Health Questionnaire–8 (inclusion score was ≥ 12) and the Montgomery-Åsberg Depression Rating Scale (MADRS).
- Patients received an infusion of 0.5 mg/kg of saline (placebo group; n = 20) or ketamine (n = 20) during surgery, along with general anesthesia.
- At the end of a 14-day follow-up, patients were asked to guess whether they had received ketamine or placebo.
TAKEAWAY:
- MADRS scores dropped by around half 1 day after treatment, indicating an improvement in depressive symptoms in both the group that received ketamine (mean decrease from 25 to 12.6 points) and the group that received placebo (mean decrease from 30 to 15.3 points). There was no significant difference between the two.
- Participants in the ketamine and placebo groups also reported high rates of clinical response (60% and 50%, respectively) and remission (50% and 35%, respectively), again with no significant difference based on treatment with ketamine or placebo.
- Only 36.8% of participants accurately guessed their treatment group. Those who guessed they had received ketamine had higher MADRS scores than those who guessed they had received placebo or said they didn’t know (10.1 vs. 19.2 vs. 23.0).
- The ketamine group had a significantly shorter hospital stay (1.9 days) than the placebo group (4 days) (P = .02).
IN PRACTICE:
“Our primary findings differ from those of previous antidepressant trials with ketamine conducted without adequate masking, which find robust effects of ketamine,” the authors wrote, adding that “regardless of the intervention being tested, participant expectations of a positive outcome – also known as hope – may drive large decreases in depression symptoms seen in antidepressant trials.”
SOURCE:
Boris D. Heifets, MD, PhD, led the study, which was published online in Nature Mental Health. The study was funded by the Society for Neuroscience in Anesthesiology and Critical Care, the National Institutes of Health, and the Stanford School of Medicine Research Office.
LIMITATIONS:
The investigators did not measure participants’ treatment expectations prior to randomization and could not determine what effect participant expectancy bias may have had on the results. In addition, there was no assessment of the blind for anesthesiologists who administered the ketamine or placebo to patients.
DISCLOSURES:
Dr. Heifets is on the scientific advisory boards of Osmind and Journey Clinical and is a consultant to Clairvoyant Therapeutics and Vine Ventures.
A version of this article first appeared on Medscape.com.
TOPLINE:
results of a new study suggest, contradicting prior research. Although symptoms improved in both study groups, investigators say participants’ expectations of an improvement from ketamine may be driving that result.
METHODOLOGY:
- The randomized, placebo-controlled trial included 40 patients who had previously been diagnosed with MDD and who were scheduled for elective noncardiac, nonintracranial surgery.
- Participants completed pre- and postsurgery depression screenings with the Patient Health Questionnaire–8 (inclusion score was ≥ 12) and the Montgomery-Åsberg Depression Rating Scale (MADRS).
- Patients received an infusion of 0.5 mg/kg of saline (placebo group; n = 20) or ketamine (n = 20) during surgery, along with general anesthesia.
- At the end of a 14-day follow-up, patients were asked to guess whether they had received ketamine or placebo.
TAKEAWAY:
- MADRS scores dropped by around half 1 day after treatment, indicating an improvement in depressive symptoms in both the group that received ketamine (mean decrease from 25 to 12.6 points) and the group that received placebo (mean decrease from 30 to 15.3 points). There was no significant difference between the two.
- Participants in the ketamine and placebo groups also reported high rates of clinical response (60% and 50%, respectively) and remission (50% and 35%, respectively), again with no significant difference based on treatment with ketamine or placebo.
- Only 36.8% of participants accurately guessed their treatment group. Those who guessed they had received ketamine had higher MADRS scores than those who guessed they had received placebo or said they didn’t know (10.1 vs. 19.2 vs. 23.0).
- The ketamine group had a significantly shorter hospital stay (1.9 days) than the placebo group (4 days) (P = .02).
IN PRACTICE:
“Our primary findings differ from those of previous antidepressant trials with ketamine conducted without adequate masking, which find robust effects of ketamine,” the authors wrote, adding that “regardless of the intervention being tested, participant expectations of a positive outcome – also known as hope – may drive large decreases in depression symptoms seen in antidepressant trials.”
SOURCE:
Boris D. Heifets, MD, PhD, led the study, which was published online in Nature Mental Health. The study was funded by the Society for Neuroscience in Anesthesiology and Critical Care, the National Institutes of Health, and the Stanford School of Medicine Research Office.
LIMITATIONS:
The investigators did not measure participants’ treatment expectations prior to randomization and could not determine what effect participant expectancy bias may have had on the results. In addition, there was no assessment of the blind for anesthesiologists who administered the ketamine or placebo to patients.
DISCLOSURES:
Dr. Heifets is on the scientific advisory boards of Osmind and Journey Clinical and is a consultant to Clairvoyant Therapeutics and Vine Ventures.
A version of this article first appeared on Medscape.com.
TOPLINE:
results of a new study suggest, contradicting prior research. Although symptoms improved in both study groups, investigators say participants’ expectations of an improvement from ketamine may be driving that result.
METHODOLOGY:
- The randomized, placebo-controlled trial included 40 patients who had previously been diagnosed with MDD and who were scheduled for elective noncardiac, nonintracranial surgery.
- Participants completed pre- and postsurgery depression screenings with the Patient Health Questionnaire–8 (inclusion score was ≥ 12) and the Montgomery-Åsberg Depression Rating Scale (MADRS).
- Patients received an infusion of 0.5 mg/kg of saline (placebo group; n = 20) or ketamine (n = 20) during surgery, along with general anesthesia.
- At the end of a 14-day follow-up, patients were asked to guess whether they had received ketamine or placebo.
TAKEAWAY:
- MADRS scores dropped by around half 1 day after treatment, indicating an improvement in depressive symptoms in both the group that received ketamine (mean decrease from 25 to 12.6 points) and the group that received placebo (mean decrease from 30 to 15.3 points). There was no significant difference between the two.
- Participants in the ketamine and placebo groups also reported high rates of clinical response (60% and 50%, respectively) and remission (50% and 35%, respectively), again with no significant difference based on treatment with ketamine or placebo.
- Only 36.8% of participants accurately guessed their treatment group. Those who guessed they had received ketamine had higher MADRS scores than those who guessed they had received placebo or said they didn’t know (10.1 vs. 19.2 vs. 23.0).
- The ketamine group had a significantly shorter hospital stay (1.9 days) than the placebo group (4 days) (P = .02).
IN PRACTICE:
“Our primary findings differ from those of previous antidepressant trials with ketamine conducted without adequate masking, which find robust effects of ketamine,” the authors wrote, adding that “regardless of the intervention being tested, participant expectations of a positive outcome – also known as hope – may drive large decreases in depression symptoms seen in antidepressant trials.”
SOURCE:
Boris D. Heifets, MD, PhD, led the study, which was published online in Nature Mental Health. The study was funded by the Society for Neuroscience in Anesthesiology and Critical Care, the National Institutes of Health, and the Stanford School of Medicine Research Office.
LIMITATIONS:
The investigators did not measure participants’ treatment expectations prior to randomization and could not determine what effect participant expectancy bias may have had on the results. In addition, there was no assessment of the blind for anesthesiologists who administered the ketamine or placebo to patients.
DISCLOSURES:
Dr. Heifets is on the scientific advisory boards of Osmind and Journey Clinical and is a consultant to Clairvoyant Therapeutics and Vine Ventures.
A version of this article first appeared on Medscape.com.
Another study ties statins to T2D: Should practice change?
Studies have shown links between statin use and type 2 diabetes (T2D) for more than a decade. A U.S. Food and Drug Administration label change for the drugs warned in 2012 about reports of increased risks of high blood glucose and glycosylated hemoglobin (A1c) levels. However, in the same warning, the FDA said it “continues to believe that the cardiovascular benefits of statins outweigh these small increased risks.”
Indeed, although the warning triggered much discussion at the time and a number of meta-analyses and other observational studies in more recent years, that conclusion seems to hold among clinicians and society guidelines.
For example, in a recent practice pointer on the risk of diabetes with statins published in the BMJ, Ishak Mansi, MD, of the Orlando VA Health Care System, and colleagues write, “This potential adverse effect of diabetes with statin use should not be a barrier to starting statin treatment when indicated.”
They also called for further research to answer such questions as, “Is statin-associated diabetes reversible upon statin discontinuation? Would intermittent use minimize this risk while maintaining cardiovascular benefits?”
An earlier study among individuals at high risk for diabetes found significantly higher rates of incident diabetes at 10 years among patients on placebo, metformin, or lifestyle intervention who also initiated statin therapy. Jill Crandall, MD, Albert Einstein College of Medicine, New York, and colleagues conclude, “For individual patients, a potential modest increase in diabetes risk clearly needs to be balanced against the consistent and highly significant reductions in myocardial infarction, stroke, and cardiovascular death associated with statin treatment.”
In the same vein, a recent review by Byron Hoogwerf, MD, Emeritus, department of endocrinology, diabetes, and metabolism, Cleveland Clinic, is titled, “Statins may increase diabetes, but benefit still outweighs risk.”
Rosuvastatin versus Atorvastatin
The latest study in this arena is an analysis of the LODESTAR randomized controlled trial of 4,400 patients with coronary artery disease in 12 hospitals in Korea which compares the risks associated with individual statins.
Senior author Myeong-Ki Hong, MD, PhD, Yonsei University College of Medicine, Severance Cardiovascular Hospital, Seoul, South Korea, said in an interview that the study was prompted by the “limited” studies evaluating clinical outcomes, including diabetes risk, according to statin type.
Dr. Hong and colleagues compared the risk of developing diabetes among those taking rosuvastatin (mean daily dose, 17.1 mg) or atorvastatin (mean daily dose 36 mg) for 3 years. While both statins effectively prevented myocardial infarction, stroke, and death, (2.5% vs. 1.5%; HR, 1.66).
Overall, the HR of new-onset T2D was 1.29 (95% confidence interval, 1.01-1.63; P = .04).
“The percentages of new-onset diabetes and cataract are in line with previous studies regarding statin therapy in patients with atherosclerotic cardiovascular disease,” Dr. Hong said. “Additional research specifically focusing on these outcomes is required, with more frequent measurement of glucose and A1c levels to detect new-onset diabetes and regular ophthalmologic examinations to detect cataracts.”
“However,” he added, “when using rosuvastatin over atorvastatin, we ... emphasize the importance of meticulous monitoring and appropriate lifestyle interventions to mitigate the risk of new-onset diabetes or cataracts.”
Steven Nissen, MD, chief academic officer of Cleveland Clinic’s Heart and Vascular Institute, was not convinced, and said the study “does not provide useful insights into the use of these drugs.”
The investigators used whatever dose they wanted, “and the authors report only the median dose after 3 years,” he said in an interview. “Because there was a slightly greater reduction in low-density lipoprotein (LDL) cholesterol with rosuvastatin, the relative dose was actually higher.”
“We know that new-onset diabetes with statins is dose-dependent,” he said. “The P-values for diabetes incidence were marginal (very close to P = .05). Accordingly, the diabetes data are unconvincing. ... The similar efficacy is not surprising given the open-label dosing with relatively similar effects on lipids.”
Seth Shay Martin, MD, MHS, director of the Advanced Lipid Disorders Program and Digital Health Lab, Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins Medicine, Baltimore, also commented on the results. The findings are “in line with existing knowledge and current guidelines,” he said. “Therefore, the study should not influence prescribing.”
“Although the study suggests that rosuvastatin was associated with a higher risk of new-onset diabetes mellitus requiring antidiabetics and cataract surgery, compared with atorvastatin, these findings should be interpreted with caution given the open-label nature of the study and require further investigation,” he said.
“The mean daily doses of statins were somewhat below target for secondary prevention,” he noted. “Ideally, patients with coronary artery disease (CAD) take 20-40 mg daily of rosuvastatin or 40-80 mg daily of atorvastatin.”
“Furthermore, the LDL cholesterol levels were not optimized in the patients,” he said. “The mean LDL-C was 1.8-1.9 mmol/L, which is equivalent to 70-73 mg/dL. In the current treatment era, we generally treat to LDL-C levels less than 70 mg/dL and often less than 55 mg/dL in CAD patients.”
“The cataracts finding is particularly odd,” he added. “There was historic concern for cataracts with statin therapy, initially because of studies in beagle dogs. However, high-quality evidence from statin trials has not shown a risk for cataracts.”
So which statin has the lowest risk of triggering new-onset diabetes? As Dr. Hong noted, the literature is sparse when it comes to comparing the risk among specific statins. Some studies suggest that the risk may depend on the individual and their specific risk factors, as well as the dose and intensity of the prescribed statin.
One recent study suggests that while the overall chance of developing diabetes is small, when looking at risk by years of exposure, atorvastatin, rosuvastatin, and lovastatin carried the largest risk, whereas the risk was lower with pravastatin and simvastatin.
Risks also seemed lower with fluvastatin and pitavastatin, but there were too few study patients taking those drugs long-term to include in the subanalysis.
With input from the latest guidelines from the American Heart Association and the American Diabetes Association, as well as findings from a clinical guide on statin-associated diabetes, Dr. Hoogwerf suggests in his review that shared decision-making before starting statin therapy of any type include the following considerations/discussion points:
- For all patients: Screening to determine baseline glycemic status; nonstatin therapies to lower cholesterol; and variables associated with an increased risk of diabetes, including antihypertensive drugs.
- For patients without T2D: The possibility of developing T2D, types and doses of statins, and the fact that statin benefits “generally far outweigh” risks of developing diabetes.
- For patients with T2D: Possible small adverse effects on glycemic control; statin benefits in reducing risk for atherosclerotic cardiovascular disease, which “significantly outweigh” the small increase in A1c; and mitigation of adverse glycemic effects of statins with glucose-lowering therapies.
It’s worth noting that the AHA and ADA guidelines, among others, also emphasize that such discussions should include the importance of weight loss, regular exercise, and adhering to a healthy lifestyle to mitigate risks of both diabetes and heart disease, with or without statins.
Dr. Hong, Dr. Nissen, and Dr. Martin report no relevant financial relationships. Dr. Hoogwerf has disclosed ownership interest in Eli Lilly and consulting for MannKind and Zealand Pharmaceuticals.
A version of this article appeared on Medscape.com.
Studies have shown links between statin use and type 2 diabetes (T2D) for more than a decade. A U.S. Food and Drug Administration label change for the drugs warned in 2012 about reports of increased risks of high blood glucose and glycosylated hemoglobin (A1c) levels. However, in the same warning, the FDA said it “continues to believe that the cardiovascular benefits of statins outweigh these small increased risks.”
Indeed, although the warning triggered much discussion at the time and a number of meta-analyses and other observational studies in more recent years, that conclusion seems to hold among clinicians and society guidelines.
For example, in a recent practice pointer on the risk of diabetes with statins published in the BMJ, Ishak Mansi, MD, of the Orlando VA Health Care System, and colleagues write, “This potential adverse effect of diabetes with statin use should not be a barrier to starting statin treatment when indicated.”
They also called for further research to answer such questions as, “Is statin-associated diabetes reversible upon statin discontinuation? Would intermittent use minimize this risk while maintaining cardiovascular benefits?”
An earlier study among individuals at high risk for diabetes found significantly higher rates of incident diabetes at 10 years among patients on placebo, metformin, or lifestyle intervention who also initiated statin therapy. Jill Crandall, MD, Albert Einstein College of Medicine, New York, and colleagues conclude, “For individual patients, a potential modest increase in diabetes risk clearly needs to be balanced against the consistent and highly significant reductions in myocardial infarction, stroke, and cardiovascular death associated with statin treatment.”
In the same vein, a recent review by Byron Hoogwerf, MD, Emeritus, department of endocrinology, diabetes, and metabolism, Cleveland Clinic, is titled, “Statins may increase diabetes, but benefit still outweighs risk.”
Rosuvastatin versus Atorvastatin
The latest study in this arena is an analysis of the LODESTAR randomized controlled trial of 4,400 patients with coronary artery disease in 12 hospitals in Korea which compares the risks associated with individual statins.
Senior author Myeong-Ki Hong, MD, PhD, Yonsei University College of Medicine, Severance Cardiovascular Hospital, Seoul, South Korea, said in an interview that the study was prompted by the “limited” studies evaluating clinical outcomes, including diabetes risk, according to statin type.
Dr. Hong and colleagues compared the risk of developing diabetes among those taking rosuvastatin (mean daily dose, 17.1 mg) or atorvastatin (mean daily dose 36 mg) for 3 years. While both statins effectively prevented myocardial infarction, stroke, and death, (2.5% vs. 1.5%; HR, 1.66).
Overall, the HR of new-onset T2D was 1.29 (95% confidence interval, 1.01-1.63; P = .04).
“The percentages of new-onset diabetes and cataract are in line with previous studies regarding statin therapy in patients with atherosclerotic cardiovascular disease,” Dr. Hong said. “Additional research specifically focusing on these outcomes is required, with more frequent measurement of glucose and A1c levels to detect new-onset diabetes and regular ophthalmologic examinations to detect cataracts.”
“However,” he added, “when using rosuvastatin over atorvastatin, we ... emphasize the importance of meticulous monitoring and appropriate lifestyle interventions to mitigate the risk of new-onset diabetes or cataracts.”
Steven Nissen, MD, chief academic officer of Cleveland Clinic’s Heart and Vascular Institute, was not convinced, and said the study “does not provide useful insights into the use of these drugs.”
The investigators used whatever dose they wanted, “and the authors report only the median dose after 3 years,” he said in an interview. “Because there was a slightly greater reduction in low-density lipoprotein (LDL) cholesterol with rosuvastatin, the relative dose was actually higher.”
“We know that new-onset diabetes with statins is dose-dependent,” he said. “The P-values for diabetes incidence were marginal (very close to P = .05). Accordingly, the diabetes data are unconvincing. ... The similar efficacy is not surprising given the open-label dosing with relatively similar effects on lipids.”
Seth Shay Martin, MD, MHS, director of the Advanced Lipid Disorders Program and Digital Health Lab, Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins Medicine, Baltimore, also commented on the results. The findings are “in line with existing knowledge and current guidelines,” he said. “Therefore, the study should not influence prescribing.”
“Although the study suggests that rosuvastatin was associated with a higher risk of new-onset diabetes mellitus requiring antidiabetics and cataract surgery, compared with atorvastatin, these findings should be interpreted with caution given the open-label nature of the study and require further investigation,” he said.
“The mean daily doses of statins were somewhat below target for secondary prevention,” he noted. “Ideally, patients with coronary artery disease (CAD) take 20-40 mg daily of rosuvastatin or 40-80 mg daily of atorvastatin.”
“Furthermore, the LDL cholesterol levels were not optimized in the patients,” he said. “The mean LDL-C was 1.8-1.9 mmol/L, which is equivalent to 70-73 mg/dL. In the current treatment era, we generally treat to LDL-C levels less than 70 mg/dL and often less than 55 mg/dL in CAD patients.”
“The cataracts finding is particularly odd,” he added. “There was historic concern for cataracts with statin therapy, initially because of studies in beagle dogs. However, high-quality evidence from statin trials has not shown a risk for cataracts.”
So which statin has the lowest risk of triggering new-onset diabetes? As Dr. Hong noted, the literature is sparse when it comes to comparing the risk among specific statins. Some studies suggest that the risk may depend on the individual and their specific risk factors, as well as the dose and intensity of the prescribed statin.
One recent study suggests that while the overall chance of developing diabetes is small, when looking at risk by years of exposure, atorvastatin, rosuvastatin, and lovastatin carried the largest risk, whereas the risk was lower with pravastatin and simvastatin.
Risks also seemed lower with fluvastatin and pitavastatin, but there were too few study patients taking those drugs long-term to include in the subanalysis.
With input from the latest guidelines from the American Heart Association and the American Diabetes Association, as well as findings from a clinical guide on statin-associated diabetes, Dr. Hoogwerf suggests in his review that shared decision-making before starting statin therapy of any type include the following considerations/discussion points:
- For all patients: Screening to determine baseline glycemic status; nonstatin therapies to lower cholesterol; and variables associated with an increased risk of diabetes, including antihypertensive drugs.
- For patients without T2D: The possibility of developing T2D, types and doses of statins, and the fact that statin benefits “generally far outweigh” risks of developing diabetes.
- For patients with T2D: Possible small adverse effects on glycemic control; statin benefits in reducing risk for atherosclerotic cardiovascular disease, which “significantly outweigh” the small increase in A1c; and mitigation of adverse glycemic effects of statins with glucose-lowering therapies.
It’s worth noting that the AHA and ADA guidelines, among others, also emphasize that such discussions should include the importance of weight loss, regular exercise, and adhering to a healthy lifestyle to mitigate risks of both diabetes and heart disease, with or without statins.
Dr. Hong, Dr. Nissen, and Dr. Martin report no relevant financial relationships. Dr. Hoogwerf has disclosed ownership interest in Eli Lilly and consulting for MannKind and Zealand Pharmaceuticals.
A version of this article appeared on Medscape.com.
Studies have shown links between statin use and type 2 diabetes (T2D) for more than a decade. A U.S. Food and Drug Administration label change for the drugs warned in 2012 about reports of increased risks of high blood glucose and glycosylated hemoglobin (A1c) levels. However, in the same warning, the FDA said it “continues to believe that the cardiovascular benefits of statins outweigh these small increased risks.”
Indeed, although the warning triggered much discussion at the time and a number of meta-analyses and other observational studies in more recent years, that conclusion seems to hold among clinicians and society guidelines.
For example, in a recent practice pointer on the risk of diabetes with statins published in the BMJ, Ishak Mansi, MD, of the Orlando VA Health Care System, and colleagues write, “This potential adverse effect of diabetes with statin use should not be a barrier to starting statin treatment when indicated.”
They also called for further research to answer such questions as, “Is statin-associated diabetes reversible upon statin discontinuation? Would intermittent use minimize this risk while maintaining cardiovascular benefits?”
An earlier study among individuals at high risk for diabetes found significantly higher rates of incident diabetes at 10 years among patients on placebo, metformin, or lifestyle intervention who also initiated statin therapy. Jill Crandall, MD, Albert Einstein College of Medicine, New York, and colleagues conclude, “For individual patients, a potential modest increase in diabetes risk clearly needs to be balanced against the consistent and highly significant reductions in myocardial infarction, stroke, and cardiovascular death associated with statin treatment.”
In the same vein, a recent review by Byron Hoogwerf, MD, Emeritus, department of endocrinology, diabetes, and metabolism, Cleveland Clinic, is titled, “Statins may increase diabetes, but benefit still outweighs risk.”
Rosuvastatin versus Atorvastatin
The latest study in this arena is an analysis of the LODESTAR randomized controlled trial of 4,400 patients with coronary artery disease in 12 hospitals in Korea which compares the risks associated with individual statins.
Senior author Myeong-Ki Hong, MD, PhD, Yonsei University College of Medicine, Severance Cardiovascular Hospital, Seoul, South Korea, said in an interview that the study was prompted by the “limited” studies evaluating clinical outcomes, including diabetes risk, according to statin type.
Dr. Hong and colleagues compared the risk of developing diabetes among those taking rosuvastatin (mean daily dose, 17.1 mg) or atorvastatin (mean daily dose 36 mg) for 3 years. While both statins effectively prevented myocardial infarction, stroke, and death, (2.5% vs. 1.5%; HR, 1.66).
Overall, the HR of new-onset T2D was 1.29 (95% confidence interval, 1.01-1.63; P = .04).
“The percentages of new-onset diabetes and cataract are in line with previous studies regarding statin therapy in patients with atherosclerotic cardiovascular disease,” Dr. Hong said. “Additional research specifically focusing on these outcomes is required, with more frequent measurement of glucose and A1c levels to detect new-onset diabetes and regular ophthalmologic examinations to detect cataracts.”
“However,” he added, “when using rosuvastatin over atorvastatin, we ... emphasize the importance of meticulous monitoring and appropriate lifestyle interventions to mitigate the risk of new-onset diabetes or cataracts.”
Steven Nissen, MD, chief academic officer of Cleveland Clinic’s Heart and Vascular Institute, was not convinced, and said the study “does not provide useful insights into the use of these drugs.”
The investigators used whatever dose they wanted, “and the authors report only the median dose after 3 years,” he said in an interview. “Because there was a slightly greater reduction in low-density lipoprotein (LDL) cholesterol with rosuvastatin, the relative dose was actually higher.”
“We know that new-onset diabetes with statins is dose-dependent,” he said. “The P-values for diabetes incidence were marginal (very close to P = .05). Accordingly, the diabetes data are unconvincing. ... The similar efficacy is not surprising given the open-label dosing with relatively similar effects on lipids.”
Seth Shay Martin, MD, MHS, director of the Advanced Lipid Disorders Program and Digital Health Lab, Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins Medicine, Baltimore, also commented on the results. The findings are “in line with existing knowledge and current guidelines,” he said. “Therefore, the study should not influence prescribing.”
“Although the study suggests that rosuvastatin was associated with a higher risk of new-onset diabetes mellitus requiring antidiabetics and cataract surgery, compared with atorvastatin, these findings should be interpreted with caution given the open-label nature of the study and require further investigation,” he said.
“The mean daily doses of statins were somewhat below target for secondary prevention,” he noted. “Ideally, patients with coronary artery disease (CAD) take 20-40 mg daily of rosuvastatin or 40-80 mg daily of atorvastatin.”
“Furthermore, the LDL cholesterol levels were not optimized in the patients,” he said. “The mean LDL-C was 1.8-1.9 mmol/L, which is equivalent to 70-73 mg/dL. In the current treatment era, we generally treat to LDL-C levels less than 70 mg/dL and often less than 55 mg/dL in CAD patients.”
“The cataracts finding is particularly odd,” he added. “There was historic concern for cataracts with statin therapy, initially because of studies in beagle dogs. However, high-quality evidence from statin trials has not shown a risk for cataracts.”
So which statin has the lowest risk of triggering new-onset diabetes? As Dr. Hong noted, the literature is sparse when it comes to comparing the risk among specific statins. Some studies suggest that the risk may depend on the individual and their specific risk factors, as well as the dose and intensity of the prescribed statin.
One recent study suggests that while the overall chance of developing diabetes is small, when looking at risk by years of exposure, atorvastatin, rosuvastatin, and lovastatin carried the largest risk, whereas the risk was lower with pravastatin and simvastatin.
Risks also seemed lower with fluvastatin and pitavastatin, but there were too few study patients taking those drugs long-term to include in the subanalysis.
With input from the latest guidelines from the American Heart Association and the American Diabetes Association, as well as findings from a clinical guide on statin-associated diabetes, Dr. Hoogwerf suggests in his review that shared decision-making before starting statin therapy of any type include the following considerations/discussion points:
- For all patients: Screening to determine baseline glycemic status; nonstatin therapies to lower cholesterol; and variables associated with an increased risk of diabetes, including antihypertensive drugs.
- For patients without T2D: The possibility of developing T2D, types and doses of statins, and the fact that statin benefits “generally far outweigh” risks of developing diabetes.
- For patients with T2D: Possible small adverse effects on glycemic control; statin benefits in reducing risk for atherosclerotic cardiovascular disease, which “significantly outweigh” the small increase in A1c; and mitigation of adverse glycemic effects of statins with glucose-lowering therapies.
It’s worth noting that the AHA and ADA guidelines, among others, also emphasize that such discussions should include the importance of weight loss, regular exercise, and adhering to a healthy lifestyle to mitigate risks of both diabetes and heart disease, with or without statins.
Dr. Hong, Dr. Nissen, and Dr. Martin report no relevant financial relationships. Dr. Hoogwerf has disclosed ownership interest in Eli Lilly and consulting for MannKind and Zealand Pharmaceuticals.
A version of this article appeared on Medscape.com.
Ready to start engaging on social media? A dermatologist shares tips
CARLSBAD, CALIF. – In the opinion of Swati Kannan, MD, deciding whether or not to establish a presence on social media starts with a gut-check about your intentions.
“Why use it?” Dr. Kannan, a dermatologist and Mohs surgeon at the University of California, San Diego, asked attendees at the annual symposium of the California Society of Dermatology & Dermatologic Surgery. “Isn’t being an MD or DO enough? Not anymore. and differentiates us from other nondermatology providers.”
Her favorite part about using Instagram and other social media platforms, she said, is connecting with other dermatologists and other specialists. “I’ve learned a lot from communicating with other dermatologists on different platforms, not just for social media but for changing how I practice as well.”
Dr. Kannan offered the following tips and considerations for building and maintaining a presence on social media:
Know the demographics of your practice and your target audience. In general, individuals in their 20s have a presence on many platforms, mainly TikTok for entertainment. Those in their 30s and 40s mainly use Facebook, Instagram, and YouTube, and those in their 40s-60s primarily use Facebook and YouTube. “Men tend to use YouTube, Twitter (X), Reddit, and LinkedIn, while women prefer more photo or video content platforms like Instagram, TikTok, and Facebook,” she said. In addition, knowing your target audience will help select which social media platforms to be active on.
Think about your goal. Is it a side hustle? Is it to raise awareness of various dermatologic conditions? Is it to grow your business? “Knowing this goal will help you determine how much time you’re going to commit to it.”
Do you have the time? To be effective, being active on social media can take 10-15 hours a week, especially for beginners, “so it’s like another job,” she said.
Devise a social media strategy. “Ideally, pick one to three social media platforms that you are going to be active on,” Dr. Kannan advised. “I’m active on Instagram and YouTube, and I cross-post on TikTok and Facebook. That means when I’m making content, it’s geared toward the audience on Instagram. If it hits a few people on TikTok, that’s fine, too, but the TikTok audience is not my target.”
Stick to a posting schedule. Ideally, post three to five times per week.
Create a content strategy. This includes a variety of photos, diagrams, videos, “and you want to use relevant hashtags,” she said.
Find your niche and style. This comes with time. If you specialize in a specific dermatologic condition such as psoriasis, hair loss, or vitiligo, emphasize that in your content.
Find your voice. This also comes with time. But be a professional version of yourself.
Have a plan for how to handle complaints or bad comments. “Avoid posting content that would make you a target,” she advised. “When I get a rude comment, I delete it. If the comment is racist or sexist, I will report it.”
Learn how to review the stats on your accounts. This will provide information on which posts or videos are being well received, which can serve as the basis of creating content that’s similar going forward.
Follow certain social media strategists. This can help grow followers and learn how to find trending audio or music to accompany your content. On Instagram, for example, Dr. Kannan follows @creators and @instagramforbusiness. On YouTube, she follows the Think Media channel.
Avoid posting content that would make you a target. Limit photos about partying/alcohol consumption or anything considered unprofessional. “If you can’t say it or do it in front of a patient, then you shouldn’t post it on your professional social media page,” she said.
Protect yourself. Don’t provide individual medical advice. “All of my home pages contain the statement, ‘this page is not for medical advice,’” Dr. Kannan said. “Get photo and video consent from all patients, even if you’re posting a zoomed-in version of their face. Deidentify patients as much as possible, and watermark your before and after photos and videos so that they’re not easily used by others.”
Be consistent and patient as you engage on social media platforms. Being a good digital citizen includes networking with other creators by liking and commenting on their posts, and responding to and liking comments that people make to your posts. “Remember: it’s not just about the number of followers, but also about engagement,” she said.
Dr. Kannan reported having no relevant disclosures.
CARLSBAD, CALIF. – In the opinion of Swati Kannan, MD, deciding whether or not to establish a presence on social media starts with a gut-check about your intentions.
“Why use it?” Dr. Kannan, a dermatologist and Mohs surgeon at the University of California, San Diego, asked attendees at the annual symposium of the California Society of Dermatology & Dermatologic Surgery. “Isn’t being an MD or DO enough? Not anymore. and differentiates us from other nondermatology providers.”
Her favorite part about using Instagram and other social media platforms, she said, is connecting with other dermatologists and other specialists. “I’ve learned a lot from communicating with other dermatologists on different platforms, not just for social media but for changing how I practice as well.”
Dr. Kannan offered the following tips and considerations for building and maintaining a presence on social media:
Know the demographics of your practice and your target audience. In general, individuals in their 20s have a presence on many platforms, mainly TikTok for entertainment. Those in their 30s and 40s mainly use Facebook, Instagram, and YouTube, and those in their 40s-60s primarily use Facebook and YouTube. “Men tend to use YouTube, Twitter (X), Reddit, and LinkedIn, while women prefer more photo or video content platforms like Instagram, TikTok, and Facebook,” she said. In addition, knowing your target audience will help select which social media platforms to be active on.
Think about your goal. Is it a side hustle? Is it to raise awareness of various dermatologic conditions? Is it to grow your business? “Knowing this goal will help you determine how much time you’re going to commit to it.”
Do you have the time? To be effective, being active on social media can take 10-15 hours a week, especially for beginners, “so it’s like another job,” she said.
Devise a social media strategy. “Ideally, pick one to three social media platforms that you are going to be active on,” Dr. Kannan advised. “I’m active on Instagram and YouTube, and I cross-post on TikTok and Facebook. That means when I’m making content, it’s geared toward the audience on Instagram. If it hits a few people on TikTok, that’s fine, too, but the TikTok audience is not my target.”
Stick to a posting schedule. Ideally, post three to five times per week.
Create a content strategy. This includes a variety of photos, diagrams, videos, “and you want to use relevant hashtags,” she said.
Find your niche and style. This comes with time. If you specialize in a specific dermatologic condition such as psoriasis, hair loss, or vitiligo, emphasize that in your content.
Find your voice. This also comes with time. But be a professional version of yourself.
Have a plan for how to handle complaints or bad comments. “Avoid posting content that would make you a target,” she advised. “When I get a rude comment, I delete it. If the comment is racist or sexist, I will report it.”
Learn how to review the stats on your accounts. This will provide information on which posts or videos are being well received, which can serve as the basis of creating content that’s similar going forward.
Follow certain social media strategists. This can help grow followers and learn how to find trending audio or music to accompany your content. On Instagram, for example, Dr. Kannan follows @creators and @instagramforbusiness. On YouTube, she follows the Think Media channel.
Avoid posting content that would make you a target. Limit photos about partying/alcohol consumption or anything considered unprofessional. “If you can’t say it or do it in front of a patient, then you shouldn’t post it on your professional social media page,” she said.
Protect yourself. Don’t provide individual medical advice. “All of my home pages contain the statement, ‘this page is not for medical advice,’” Dr. Kannan said. “Get photo and video consent from all patients, even if you’re posting a zoomed-in version of their face. Deidentify patients as much as possible, and watermark your before and after photos and videos so that they’re not easily used by others.”
Be consistent and patient as you engage on social media platforms. Being a good digital citizen includes networking with other creators by liking and commenting on their posts, and responding to and liking comments that people make to your posts. “Remember: it’s not just about the number of followers, but also about engagement,” she said.
Dr. Kannan reported having no relevant disclosures.
CARLSBAD, CALIF. – In the opinion of Swati Kannan, MD, deciding whether or not to establish a presence on social media starts with a gut-check about your intentions.
“Why use it?” Dr. Kannan, a dermatologist and Mohs surgeon at the University of California, San Diego, asked attendees at the annual symposium of the California Society of Dermatology & Dermatologic Surgery. “Isn’t being an MD or DO enough? Not anymore. and differentiates us from other nondermatology providers.”
Her favorite part about using Instagram and other social media platforms, she said, is connecting with other dermatologists and other specialists. “I’ve learned a lot from communicating with other dermatologists on different platforms, not just for social media but for changing how I practice as well.”
Dr. Kannan offered the following tips and considerations for building and maintaining a presence on social media:
Know the demographics of your practice and your target audience. In general, individuals in their 20s have a presence on many platforms, mainly TikTok for entertainment. Those in their 30s and 40s mainly use Facebook, Instagram, and YouTube, and those in their 40s-60s primarily use Facebook and YouTube. “Men tend to use YouTube, Twitter (X), Reddit, and LinkedIn, while women prefer more photo or video content platforms like Instagram, TikTok, and Facebook,” she said. In addition, knowing your target audience will help select which social media platforms to be active on.
Think about your goal. Is it a side hustle? Is it to raise awareness of various dermatologic conditions? Is it to grow your business? “Knowing this goal will help you determine how much time you’re going to commit to it.”
Do you have the time? To be effective, being active on social media can take 10-15 hours a week, especially for beginners, “so it’s like another job,” she said.
Devise a social media strategy. “Ideally, pick one to three social media platforms that you are going to be active on,” Dr. Kannan advised. “I’m active on Instagram and YouTube, and I cross-post on TikTok and Facebook. That means when I’m making content, it’s geared toward the audience on Instagram. If it hits a few people on TikTok, that’s fine, too, but the TikTok audience is not my target.”
Stick to a posting schedule. Ideally, post three to five times per week.
Create a content strategy. This includes a variety of photos, diagrams, videos, “and you want to use relevant hashtags,” she said.
Find your niche and style. This comes with time. If you specialize in a specific dermatologic condition such as psoriasis, hair loss, or vitiligo, emphasize that in your content.
Find your voice. This also comes with time. But be a professional version of yourself.
Have a plan for how to handle complaints or bad comments. “Avoid posting content that would make you a target,” she advised. “When I get a rude comment, I delete it. If the comment is racist or sexist, I will report it.”
Learn how to review the stats on your accounts. This will provide information on which posts or videos are being well received, which can serve as the basis of creating content that’s similar going forward.
Follow certain social media strategists. This can help grow followers and learn how to find trending audio or music to accompany your content. On Instagram, for example, Dr. Kannan follows @creators and @instagramforbusiness. On YouTube, she follows the Think Media channel.
Avoid posting content that would make you a target. Limit photos about partying/alcohol consumption or anything considered unprofessional. “If you can’t say it or do it in front of a patient, then you shouldn’t post it on your professional social media page,” she said.
Protect yourself. Don’t provide individual medical advice. “All of my home pages contain the statement, ‘this page is not for medical advice,’” Dr. Kannan said. “Get photo and video consent from all patients, even if you’re posting a zoomed-in version of their face. Deidentify patients as much as possible, and watermark your before and after photos and videos so that they’re not easily used by others.”
Be consistent and patient as you engage on social media platforms. Being a good digital citizen includes networking with other creators by liking and commenting on their posts, and responding to and liking comments that people make to your posts. “Remember: it’s not just about the number of followers, but also about engagement,” she said.
Dr. Kannan reported having no relevant disclosures.
AT CALDERM 2023
Breastfeeding and colorectal cancer
I, like every pediatrician I know, believe that breast milk is the best nutrition for human newborns. Its balance of nutritive elements and its role in preventing of a wide range of illnesses are so great that we are still learning the extent of their magnitude. It just makes sense that a mother’s milk is most well suited for her baby.
I am a bit less unambiguous about breastfeeding. By that I mean the process of providing breast milk to an infant directly from its mother’s breast. Before you yank my AAP membership card, let me make it clear that I think every woman should consider breastfeeding her infant. But we must accept that in a few situations, even with help from caring and enlightened health care providers and family members, breastfeeding doesn’t work as well as we would have hoped. Fortunately, there are alternatives.
My reservations about the process are few, and until recently I have had an unwaveringly positive attitude toward the safety of breast milk. The cause of my little bit of uncertainty arrived in a recent study by two researchers at the Dana Farber Institute in Boston, in which the A younger cohort within that larger group had a dramatic 40% increased risk of developing high-risk cancer before reaching age 55.
The population the investigators studied came from the large Nurses’ Health Study II, a well-known repository of longitudinal health data. The researchers reported that they included biometric data and a large collection of lifestyle factors including smoking, alcohol intake, and diet in their calculations. However, breastfeeding continued to register the highest association. Interestingly, the investigators found that women who were breastfed for 9 months or longer had twice the risk of colorectal cancer as those who breastfed for from 4 to 8 months.
The study population was all women and predominantly white. However, in the general population it is the non-Hispanic white population that is experiencing the greatest increase in incidence. Of course, the study could not answer whether this association with breastfeeding also existed in minority populations.
The researchers suspect that what they are seeing is a reflection of the Westernization of the American lifestyle. One of the researchers is interested in the gut biome of infants and plans to further the investigation in that direction. Could some substance from the environment be concentrating in breast milk? Or is something missing in breast milk? She points out that, while formulas are generally fortified with vitamin D, breast milk is not.
As concerning as the results of this study may sound, the authors are very careful to urge mothers to continue to breastfeed and choose it as their first choice for feeding their babies. I have been pleasantly surprised that this study has not gotten widespread media attention because bad news travels fast. I have chosen to share it with you because at some point you may begin getting questions from concerned parents.
While apparently well done, this study is just the beginning. Like any good research, it poses more questions than it answers. For us as pediatricians it means we should continue to recommend breast milk as the first food. But, we must stay alert as further research looks deeper into this association.
We should also take advantage of our special access to young parents, a demographic that less frequently sees a physician for preventive care. For whatever reason colorectal cancer is occurring at younger ages. When we have the opportunity we should be reminding 40-year-olds not to wait until age 50 to screen for colorectal cancer, particularly if they have a family history of the disease.
Dr. Wilkoff practiced primary care pediatrics in Brunswick, Maine, for nearly 40 years. He has authored several books on behavioral pediatrics, including “How to Say No to Your Toddler.” Other than a Littman stethoscope he accepted as a first-year medical student in 1966, Dr. Wilkoff reports having nothing to disclose. Email him at [email protected].
I, like every pediatrician I know, believe that breast milk is the best nutrition for human newborns. Its balance of nutritive elements and its role in preventing of a wide range of illnesses are so great that we are still learning the extent of their magnitude. It just makes sense that a mother’s milk is most well suited for her baby.
I am a bit less unambiguous about breastfeeding. By that I mean the process of providing breast milk to an infant directly from its mother’s breast. Before you yank my AAP membership card, let me make it clear that I think every woman should consider breastfeeding her infant. But we must accept that in a few situations, even with help from caring and enlightened health care providers and family members, breastfeeding doesn’t work as well as we would have hoped. Fortunately, there are alternatives.
My reservations about the process are few, and until recently I have had an unwaveringly positive attitude toward the safety of breast milk. The cause of my little bit of uncertainty arrived in a recent study by two researchers at the Dana Farber Institute in Boston, in which the A younger cohort within that larger group had a dramatic 40% increased risk of developing high-risk cancer before reaching age 55.
The population the investigators studied came from the large Nurses’ Health Study II, a well-known repository of longitudinal health data. The researchers reported that they included biometric data and a large collection of lifestyle factors including smoking, alcohol intake, and diet in their calculations. However, breastfeeding continued to register the highest association. Interestingly, the investigators found that women who were breastfed for 9 months or longer had twice the risk of colorectal cancer as those who breastfed for from 4 to 8 months.
The study population was all women and predominantly white. However, in the general population it is the non-Hispanic white population that is experiencing the greatest increase in incidence. Of course, the study could not answer whether this association with breastfeeding also existed in minority populations.
The researchers suspect that what they are seeing is a reflection of the Westernization of the American lifestyle. One of the researchers is interested in the gut biome of infants and plans to further the investigation in that direction. Could some substance from the environment be concentrating in breast milk? Or is something missing in breast milk? She points out that, while formulas are generally fortified with vitamin D, breast milk is not.
As concerning as the results of this study may sound, the authors are very careful to urge mothers to continue to breastfeed and choose it as their first choice for feeding their babies. I have been pleasantly surprised that this study has not gotten widespread media attention because bad news travels fast. I have chosen to share it with you because at some point you may begin getting questions from concerned parents.
While apparently well done, this study is just the beginning. Like any good research, it poses more questions than it answers. For us as pediatricians it means we should continue to recommend breast milk as the first food. But, we must stay alert as further research looks deeper into this association.
We should also take advantage of our special access to young parents, a demographic that less frequently sees a physician for preventive care. For whatever reason colorectal cancer is occurring at younger ages. When we have the opportunity we should be reminding 40-year-olds not to wait until age 50 to screen for colorectal cancer, particularly if they have a family history of the disease.
Dr. Wilkoff practiced primary care pediatrics in Brunswick, Maine, for nearly 40 years. He has authored several books on behavioral pediatrics, including “How to Say No to Your Toddler.” Other than a Littman stethoscope he accepted as a first-year medical student in 1966, Dr. Wilkoff reports having nothing to disclose. Email him at [email protected].
I, like every pediatrician I know, believe that breast milk is the best nutrition for human newborns. Its balance of nutritive elements and its role in preventing of a wide range of illnesses are so great that we are still learning the extent of their magnitude. It just makes sense that a mother’s milk is most well suited for her baby.
I am a bit less unambiguous about breastfeeding. By that I mean the process of providing breast milk to an infant directly from its mother’s breast. Before you yank my AAP membership card, let me make it clear that I think every woman should consider breastfeeding her infant. But we must accept that in a few situations, even with help from caring and enlightened health care providers and family members, breastfeeding doesn’t work as well as we would have hoped. Fortunately, there are alternatives.
My reservations about the process are few, and until recently I have had an unwaveringly positive attitude toward the safety of breast milk. The cause of my little bit of uncertainty arrived in a recent study by two researchers at the Dana Farber Institute in Boston, in which the A younger cohort within that larger group had a dramatic 40% increased risk of developing high-risk cancer before reaching age 55.
The population the investigators studied came from the large Nurses’ Health Study II, a well-known repository of longitudinal health data. The researchers reported that they included biometric data and a large collection of lifestyle factors including smoking, alcohol intake, and diet in their calculations. However, breastfeeding continued to register the highest association. Interestingly, the investigators found that women who were breastfed for 9 months or longer had twice the risk of colorectal cancer as those who breastfed for from 4 to 8 months.
The study population was all women and predominantly white. However, in the general population it is the non-Hispanic white population that is experiencing the greatest increase in incidence. Of course, the study could not answer whether this association with breastfeeding also existed in minority populations.
The researchers suspect that what they are seeing is a reflection of the Westernization of the American lifestyle. One of the researchers is interested in the gut biome of infants and plans to further the investigation in that direction. Could some substance from the environment be concentrating in breast milk? Or is something missing in breast milk? She points out that, while formulas are generally fortified with vitamin D, breast milk is not.
As concerning as the results of this study may sound, the authors are very careful to urge mothers to continue to breastfeed and choose it as their first choice for feeding their babies. I have been pleasantly surprised that this study has not gotten widespread media attention because bad news travels fast. I have chosen to share it with you because at some point you may begin getting questions from concerned parents.
While apparently well done, this study is just the beginning. Like any good research, it poses more questions than it answers. For us as pediatricians it means we should continue to recommend breast milk as the first food. But, we must stay alert as further research looks deeper into this association.
We should also take advantage of our special access to young parents, a demographic that less frequently sees a physician for preventive care. For whatever reason colorectal cancer is occurring at younger ages. When we have the opportunity we should be reminding 40-year-olds not to wait until age 50 to screen for colorectal cancer, particularly if they have a family history of the disease.
Dr. Wilkoff practiced primary care pediatrics in Brunswick, Maine, for nearly 40 years. He has authored several books on behavioral pediatrics, including “How to Say No to Your Toddler.” Other than a Littman stethoscope he accepted as a first-year medical student in 1966, Dr. Wilkoff reports having nothing to disclose. Email him at [email protected].
Is it time to scrap ultraprocessed foods?
Ultraprocessed foods (UPFs) make up nearly three-quarters of the entire U.S. food supply and about 60% of Americans’ daily caloric intake. A significant body of research has tied consumption of these foods – awash in added sugar, salt, fat, artificial colors, or preservatives – to cancer, diabetes, and heart disease.
Now, a growing number of studies also link them to poor brain health, including an increased risk of dementia, depression, and anxiety, and some experts are calling for public health policies aimed at reducing UPF consumption.
Under srutiny
A mainstay of diets in countries around the world, UPFs have come under increasing scrutiny because of their link to major diseases. The ingredients in UPFs add little or no nutritional value. Their primary function is to increase a product’s shelf life and palatability. Some recent evidence suggests these foods may be as addictive as tobacco. In addition, two pooled analysis studies using the Yale Food Addiction Scale showed that 14% of adults and 12% of children in the United States may have a UPF addiction.
The most widely used measure of what is, and what is not, a UPF was developed in 2009 by researchers in Brazil. The NOVA food classification system assigns food and beverages to one of four groups:
- Unprocessed and minimally processed foods, such as fruits, vegetables, milk, and meat.
- Processed culinary ingredients, including white sugar, butter, and oils derived from seeds, nuts, and fruits.
- Processed foods, such as tomato paste, bacon, canned tuna, and wine.
- Ultraprocessed foods, such as soda, ice cream, breakfast cereal, and prepackaged meals.
Those sounding the alarm about the potential harmful effects of UPFs are particularly concerned about their consumption by young people. The National Health and Nutrition Examination Survey showed that from 1999 to 2018, highly processed foods accounted for the majority of energy intake in those aged 2-19 years.
One of the most commonly used additives in UPFs, the artificial sweetener aspartame, garnered headlines this summer when the World Health Organization classified it as a likely carcinogen in humans. Aspartame is used in thousands of products, from soda to chewing gum to chewable vitamins.
The U.S. Food and Drug Administration strongly disagreed with the WHO’s position and is sticking by its recommended daily limit of 50 mg/kg of body weight – equivalent to 75 packets of the sweetener Equal – as safe for human consumption.
“Aspartame is one of the most studied food additives in the human food supply,” FDA officials said in a statement, adding that the agency found “significant shortcomings” in the studies the WHO used to justify the new classification. “FDA scientists do not have safety concerns when aspartame is used under the approved conditions.”
Increased attention to consumption of UPFs in general and aspartame particularly in recent years has yielded several studies pointing to the foods’ association with compromised brain health.
Link to depression, dementia
A recent report on UPF consumption and mental well-being among nearly 300,000 people across 70 countries showed that 53% of those who consumed UPFs several times a day were distressed or were struggling with their mental well-being, compared with 18% of those who rarely or never consumed UPFs.
Part of the Global Mind Project run by the nonprofit Sapien Labs in Arlington, Va., the report also showed that individuals with the highest rates of UPF consumption reported higher levels of confusion, slowed thinking, unwanted or obsessive thoughts, irritability, and feelings of sadness.
“There seems to be a much broader effect than just depression symptoms,” Tara Thiagarajan, PhD, founder and chief scientist of Sapien Labs and coauthor of the report, said in an interview.
The report, which has not been peer reviewed, comes on the heels of several other studies, including one from the Nurses Health Study II that showed that participants who consumed more than eight servings of UPFs daily had about a 50% higher depression risk, compared with those who consumed half that much.
“We found that UPFs in general, and artificial sweeteners and beverages in particular, were associated with increased risk,” said lead investigator Andrew T. Chan, MD, MPH, professor of medicine at Harvard Medical School and chief of the clinical and translational epidemiology unit, Massachusetts General Hospital, both in Boston.
“This was an interesting finding that correlates with data from animal studies that artificial sweeteners may trigger the transmission of particular signaling molecules in the brain that are important for mood,” he told this news organization.
Cognition may also be affected. An analysis of more than 72,000 people in the UK Biobank showed that those who consumed a high levels of UPFs were 50% more likely to develop dementia than those who consumed fewer processed foods. For every 10% increase in UPF consumption, the odds of developing any kind of dementia increased by 25%.
Another study of nearly 11,000 people showed that higher UPF consumption was associated with a significantly faster decline in executive and global cognitive function.
Epigenetic changes
While these and other studies suggest a link between UPF consumption and brain health, they are designed to demonstrate correlation. To date, no human study has proven that eating highly processed foods directly causes a decline in mental health or cognition.
Animal studies could provide that causal link. Earlier this year, researchers at Florida State University in Tallahassee reported learning and memory deficits in two groups of male mice that completed a maze test after being fed water mixed with aspartame for about 20% of their adult lives, compared with a group of mice that drank water only. Animals that ingested aspartame could finish the test, but it took them longer, and they needed help.
The amount of aspartame used in the study was just 7% and 15% of the FDA’s recommended maximum intake of aspartame (equivalent to two to four 8-ounce diet sodas daily).
Most intriguing was that offspring of the mice in the aspartame groups demonstrated the same levels of cognitive decline and anxiety as their fathers, even though they had never ingested the artificial sweetener. Researchers theorize that in addition to changes in brain gene expression, aspartame also caused epigenetic changes in germ cells.
“Epigenetic changes in germ cells due to environmental exposures are both good and bad,” lead investigator Pradeep G. Bhide, PhD, professor of developmental neuroscience and director of the Center for Brain Repair at FSU, told this news organization. “They are bad because the next generation is affected. But they’re good because as long as the exposure no longer occurs, 2 or 3 generations later, that’s gone.”
The mice, which lacked taste receptors for aspartame, were the same age and weight in all three groups. Because the only difference was exposure to the artificial sweetener, Dr. Bhide says it suggests a causal link.
“Extrapolation of data from well-controlled laboratory experiments in mice to humans is always risky,” Dr. Bhide said. “The extrapolations give us insights into what could happen rather than what will happen.”
Potential mechanisms
Although scientists can’t say for certain how UPFs affect brain health, there are several theories. UPFs may influence an inflammatory immune response, which has been linked to depression and dementia. Consumption of highly processed foods may also disrupt the gut microbiome, Dr. Chan said, which, in turn, may increase depression risk.
“This is an important potential mechanism linking ultraprocessed food to depression since there is emerging evidence that microbes in the gut have been linked with mood through their role in metabolizing and producing proteins that have activity in the brain,” he said.
In addition, with UPFs that contain aspartame, there could be a more direct link to brain function. In the gastrointestinal track, the sweetener is quickly broken down into methanol, aspartic acid, and phenylalanine. All three enter the bloodstream, cross the blood-brain barrier, and are neuroactive.
“Phenylalanine is a precursor for neurotransmitters in the brain, and aspartic acid activates the glutamate excitatory neurotransmitter receptor,” Dr. Bhide said. “The effects we’ve seen could be due to these metabolites that have a direct effect on the brain function.”
Time to act?
Some researchers are building a case for classifying UPFs as addictive substances. Others are calling for additional research on UPF safety that is conducted outside the food industry.
There has also been some discussion of placing warning labels on UPFs. However, there is disagreement about what information should be included and how consumers might interpret it. The question of which food products are UPFs and which are not also isn’t settled. The NOVA system may be widely used, but it still has its detractors who believe it misclassifies some healthy foods as ultraprocessed.
Dr. Chan and other experts say the research conducted thus far requires additional corroboration to inform appropriate public health interventions. That would likely take the form of a large, randomized trial with one group of participants eating a healthy diet and the other consuming large amounts of UPFs.
“This type of study is extremely challenging given the number of people that would have to be willing to participate and be willing to eat a very specific diet over a long period of time,” Dr. Chan said. “I am also not sure it would be ethical to assign people to such a diet, given what we already know about the potential health effects of UPFs.”
Dr. Thiagarajan and others have called on funding agencies to direct more grant monies toward studies of UPFs to better understand their effect on brain health.
“Given the magnitude of the problem and given that there is a fair bit of evidence that points to a potential causal link, then we damn well better put money into this and get to the bottom of it,” she said.
Others are looking to the FDA to increase the agency’s scrutiny of food additives. While some additives such as artificial sweeteners have a place in diets of people with diabetes or obesity, Dr. Bhide suggests it may be wise for healthy individuals to reduce their daily intake of UPFs.
“Our data raise this to a different level because of the transgenerational transmission, which has never been shown before,” he said. “We are saying that the FDA should look in preclinical models at germ cells and maybe transgenerational transmission before approving any food additive.”
A version of this article first appeared on Medscape.com.
Ultraprocessed foods (UPFs) make up nearly three-quarters of the entire U.S. food supply and about 60% of Americans’ daily caloric intake. A significant body of research has tied consumption of these foods – awash in added sugar, salt, fat, artificial colors, or preservatives – to cancer, diabetes, and heart disease.
Now, a growing number of studies also link them to poor brain health, including an increased risk of dementia, depression, and anxiety, and some experts are calling for public health policies aimed at reducing UPF consumption.
Under srutiny
A mainstay of diets in countries around the world, UPFs have come under increasing scrutiny because of their link to major diseases. The ingredients in UPFs add little or no nutritional value. Their primary function is to increase a product’s shelf life and palatability. Some recent evidence suggests these foods may be as addictive as tobacco. In addition, two pooled analysis studies using the Yale Food Addiction Scale showed that 14% of adults and 12% of children in the United States may have a UPF addiction.
The most widely used measure of what is, and what is not, a UPF was developed in 2009 by researchers in Brazil. The NOVA food classification system assigns food and beverages to one of four groups:
- Unprocessed and minimally processed foods, such as fruits, vegetables, milk, and meat.
- Processed culinary ingredients, including white sugar, butter, and oils derived from seeds, nuts, and fruits.
- Processed foods, such as tomato paste, bacon, canned tuna, and wine.
- Ultraprocessed foods, such as soda, ice cream, breakfast cereal, and prepackaged meals.
Those sounding the alarm about the potential harmful effects of UPFs are particularly concerned about their consumption by young people. The National Health and Nutrition Examination Survey showed that from 1999 to 2018, highly processed foods accounted for the majority of energy intake in those aged 2-19 years.
One of the most commonly used additives in UPFs, the artificial sweetener aspartame, garnered headlines this summer when the World Health Organization classified it as a likely carcinogen in humans. Aspartame is used in thousands of products, from soda to chewing gum to chewable vitamins.
The U.S. Food and Drug Administration strongly disagreed with the WHO’s position and is sticking by its recommended daily limit of 50 mg/kg of body weight – equivalent to 75 packets of the sweetener Equal – as safe for human consumption.
“Aspartame is one of the most studied food additives in the human food supply,” FDA officials said in a statement, adding that the agency found “significant shortcomings” in the studies the WHO used to justify the new classification. “FDA scientists do not have safety concerns when aspartame is used under the approved conditions.”
Increased attention to consumption of UPFs in general and aspartame particularly in recent years has yielded several studies pointing to the foods’ association with compromised brain health.
Link to depression, dementia
A recent report on UPF consumption and mental well-being among nearly 300,000 people across 70 countries showed that 53% of those who consumed UPFs several times a day were distressed or were struggling with their mental well-being, compared with 18% of those who rarely or never consumed UPFs.
Part of the Global Mind Project run by the nonprofit Sapien Labs in Arlington, Va., the report also showed that individuals with the highest rates of UPF consumption reported higher levels of confusion, slowed thinking, unwanted or obsessive thoughts, irritability, and feelings of sadness.
“There seems to be a much broader effect than just depression symptoms,” Tara Thiagarajan, PhD, founder and chief scientist of Sapien Labs and coauthor of the report, said in an interview.
The report, which has not been peer reviewed, comes on the heels of several other studies, including one from the Nurses Health Study II that showed that participants who consumed more than eight servings of UPFs daily had about a 50% higher depression risk, compared with those who consumed half that much.
“We found that UPFs in general, and artificial sweeteners and beverages in particular, were associated with increased risk,” said lead investigator Andrew T. Chan, MD, MPH, professor of medicine at Harvard Medical School and chief of the clinical and translational epidemiology unit, Massachusetts General Hospital, both in Boston.
“This was an interesting finding that correlates with data from animal studies that artificial sweeteners may trigger the transmission of particular signaling molecules in the brain that are important for mood,” he told this news organization.
Cognition may also be affected. An analysis of more than 72,000 people in the UK Biobank showed that those who consumed a high levels of UPFs were 50% more likely to develop dementia than those who consumed fewer processed foods. For every 10% increase in UPF consumption, the odds of developing any kind of dementia increased by 25%.
Another study of nearly 11,000 people showed that higher UPF consumption was associated with a significantly faster decline in executive and global cognitive function.
Epigenetic changes
While these and other studies suggest a link between UPF consumption and brain health, they are designed to demonstrate correlation. To date, no human study has proven that eating highly processed foods directly causes a decline in mental health or cognition.
Animal studies could provide that causal link. Earlier this year, researchers at Florida State University in Tallahassee reported learning and memory deficits in two groups of male mice that completed a maze test after being fed water mixed with aspartame for about 20% of their adult lives, compared with a group of mice that drank water only. Animals that ingested aspartame could finish the test, but it took them longer, and they needed help.
The amount of aspartame used in the study was just 7% and 15% of the FDA’s recommended maximum intake of aspartame (equivalent to two to four 8-ounce diet sodas daily).
Most intriguing was that offspring of the mice in the aspartame groups demonstrated the same levels of cognitive decline and anxiety as their fathers, even though they had never ingested the artificial sweetener. Researchers theorize that in addition to changes in brain gene expression, aspartame also caused epigenetic changes in germ cells.
“Epigenetic changes in germ cells due to environmental exposures are both good and bad,” lead investigator Pradeep G. Bhide, PhD, professor of developmental neuroscience and director of the Center for Brain Repair at FSU, told this news organization. “They are bad because the next generation is affected. But they’re good because as long as the exposure no longer occurs, 2 or 3 generations later, that’s gone.”
The mice, which lacked taste receptors for aspartame, were the same age and weight in all three groups. Because the only difference was exposure to the artificial sweetener, Dr. Bhide says it suggests a causal link.
“Extrapolation of data from well-controlled laboratory experiments in mice to humans is always risky,” Dr. Bhide said. “The extrapolations give us insights into what could happen rather than what will happen.”
Potential mechanisms
Although scientists can’t say for certain how UPFs affect brain health, there are several theories. UPFs may influence an inflammatory immune response, which has been linked to depression and dementia. Consumption of highly processed foods may also disrupt the gut microbiome, Dr. Chan said, which, in turn, may increase depression risk.
“This is an important potential mechanism linking ultraprocessed food to depression since there is emerging evidence that microbes in the gut have been linked with mood through their role in metabolizing and producing proteins that have activity in the brain,” he said.
In addition, with UPFs that contain aspartame, there could be a more direct link to brain function. In the gastrointestinal track, the sweetener is quickly broken down into methanol, aspartic acid, and phenylalanine. All three enter the bloodstream, cross the blood-brain barrier, and are neuroactive.
“Phenylalanine is a precursor for neurotransmitters in the brain, and aspartic acid activates the glutamate excitatory neurotransmitter receptor,” Dr. Bhide said. “The effects we’ve seen could be due to these metabolites that have a direct effect on the brain function.”
Time to act?
Some researchers are building a case for classifying UPFs as addictive substances. Others are calling for additional research on UPF safety that is conducted outside the food industry.
There has also been some discussion of placing warning labels on UPFs. However, there is disagreement about what information should be included and how consumers might interpret it. The question of which food products are UPFs and which are not also isn’t settled. The NOVA system may be widely used, but it still has its detractors who believe it misclassifies some healthy foods as ultraprocessed.
Dr. Chan and other experts say the research conducted thus far requires additional corroboration to inform appropriate public health interventions. That would likely take the form of a large, randomized trial with one group of participants eating a healthy diet and the other consuming large amounts of UPFs.
“This type of study is extremely challenging given the number of people that would have to be willing to participate and be willing to eat a very specific diet over a long period of time,” Dr. Chan said. “I am also not sure it would be ethical to assign people to such a diet, given what we already know about the potential health effects of UPFs.”
Dr. Thiagarajan and others have called on funding agencies to direct more grant monies toward studies of UPFs to better understand their effect on brain health.
“Given the magnitude of the problem and given that there is a fair bit of evidence that points to a potential causal link, then we damn well better put money into this and get to the bottom of it,” she said.
Others are looking to the FDA to increase the agency’s scrutiny of food additives. While some additives such as artificial sweeteners have a place in diets of people with diabetes or obesity, Dr. Bhide suggests it may be wise for healthy individuals to reduce their daily intake of UPFs.
“Our data raise this to a different level because of the transgenerational transmission, which has never been shown before,” he said. “We are saying that the FDA should look in preclinical models at germ cells and maybe transgenerational transmission before approving any food additive.”
A version of this article first appeared on Medscape.com.
Ultraprocessed foods (UPFs) make up nearly three-quarters of the entire U.S. food supply and about 60% of Americans’ daily caloric intake. A significant body of research has tied consumption of these foods – awash in added sugar, salt, fat, artificial colors, or preservatives – to cancer, diabetes, and heart disease.
Now, a growing number of studies also link them to poor brain health, including an increased risk of dementia, depression, and anxiety, and some experts are calling for public health policies aimed at reducing UPF consumption.
Under srutiny
A mainstay of diets in countries around the world, UPFs have come under increasing scrutiny because of their link to major diseases. The ingredients in UPFs add little or no nutritional value. Their primary function is to increase a product’s shelf life and palatability. Some recent evidence suggests these foods may be as addictive as tobacco. In addition, two pooled analysis studies using the Yale Food Addiction Scale showed that 14% of adults and 12% of children in the United States may have a UPF addiction.
The most widely used measure of what is, and what is not, a UPF was developed in 2009 by researchers in Brazil. The NOVA food classification system assigns food and beverages to one of four groups:
- Unprocessed and minimally processed foods, such as fruits, vegetables, milk, and meat.
- Processed culinary ingredients, including white sugar, butter, and oils derived from seeds, nuts, and fruits.
- Processed foods, such as tomato paste, bacon, canned tuna, and wine.
- Ultraprocessed foods, such as soda, ice cream, breakfast cereal, and prepackaged meals.
Those sounding the alarm about the potential harmful effects of UPFs are particularly concerned about their consumption by young people. The National Health and Nutrition Examination Survey showed that from 1999 to 2018, highly processed foods accounted for the majority of energy intake in those aged 2-19 years.
One of the most commonly used additives in UPFs, the artificial sweetener aspartame, garnered headlines this summer when the World Health Organization classified it as a likely carcinogen in humans. Aspartame is used in thousands of products, from soda to chewing gum to chewable vitamins.
The U.S. Food and Drug Administration strongly disagreed with the WHO’s position and is sticking by its recommended daily limit of 50 mg/kg of body weight – equivalent to 75 packets of the sweetener Equal – as safe for human consumption.
“Aspartame is one of the most studied food additives in the human food supply,” FDA officials said in a statement, adding that the agency found “significant shortcomings” in the studies the WHO used to justify the new classification. “FDA scientists do not have safety concerns when aspartame is used under the approved conditions.”
Increased attention to consumption of UPFs in general and aspartame particularly in recent years has yielded several studies pointing to the foods’ association with compromised brain health.
Link to depression, dementia
A recent report on UPF consumption and mental well-being among nearly 300,000 people across 70 countries showed that 53% of those who consumed UPFs several times a day were distressed or were struggling with their mental well-being, compared with 18% of those who rarely or never consumed UPFs.
Part of the Global Mind Project run by the nonprofit Sapien Labs in Arlington, Va., the report also showed that individuals with the highest rates of UPF consumption reported higher levels of confusion, slowed thinking, unwanted or obsessive thoughts, irritability, and feelings of sadness.
“There seems to be a much broader effect than just depression symptoms,” Tara Thiagarajan, PhD, founder and chief scientist of Sapien Labs and coauthor of the report, said in an interview.
The report, which has not been peer reviewed, comes on the heels of several other studies, including one from the Nurses Health Study II that showed that participants who consumed more than eight servings of UPFs daily had about a 50% higher depression risk, compared with those who consumed half that much.
“We found that UPFs in general, and artificial sweeteners and beverages in particular, were associated with increased risk,” said lead investigator Andrew T. Chan, MD, MPH, professor of medicine at Harvard Medical School and chief of the clinical and translational epidemiology unit, Massachusetts General Hospital, both in Boston.
“This was an interesting finding that correlates with data from animal studies that artificial sweeteners may trigger the transmission of particular signaling molecules in the brain that are important for mood,” he told this news organization.
Cognition may also be affected. An analysis of more than 72,000 people in the UK Biobank showed that those who consumed a high levels of UPFs were 50% more likely to develop dementia than those who consumed fewer processed foods. For every 10% increase in UPF consumption, the odds of developing any kind of dementia increased by 25%.
Another study of nearly 11,000 people showed that higher UPF consumption was associated with a significantly faster decline in executive and global cognitive function.
Epigenetic changes
While these and other studies suggest a link between UPF consumption and brain health, they are designed to demonstrate correlation. To date, no human study has proven that eating highly processed foods directly causes a decline in mental health or cognition.
Animal studies could provide that causal link. Earlier this year, researchers at Florida State University in Tallahassee reported learning and memory deficits in two groups of male mice that completed a maze test after being fed water mixed with aspartame for about 20% of their adult lives, compared with a group of mice that drank water only. Animals that ingested aspartame could finish the test, but it took them longer, and they needed help.
The amount of aspartame used in the study was just 7% and 15% of the FDA’s recommended maximum intake of aspartame (equivalent to two to four 8-ounce diet sodas daily).
Most intriguing was that offspring of the mice in the aspartame groups demonstrated the same levels of cognitive decline and anxiety as their fathers, even though they had never ingested the artificial sweetener. Researchers theorize that in addition to changes in brain gene expression, aspartame also caused epigenetic changes in germ cells.
“Epigenetic changes in germ cells due to environmental exposures are both good and bad,” lead investigator Pradeep G. Bhide, PhD, professor of developmental neuroscience and director of the Center for Brain Repair at FSU, told this news organization. “They are bad because the next generation is affected. But they’re good because as long as the exposure no longer occurs, 2 or 3 generations later, that’s gone.”
The mice, which lacked taste receptors for aspartame, were the same age and weight in all three groups. Because the only difference was exposure to the artificial sweetener, Dr. Bhide says it suggests a causal link.
“Extrapolation of data from well-controlled laboratory experiments in mice to humans is always risky,” Dr. Bhide said. “The extrapolations give us insights into what could happen rather than what will happen.”
Potential mechanisms
Although scientists can’t say for certain how UPFs affect brain health, there are several theories. UPFs may influence an inflammatory immune response, which has been linked to depression and dementia. Consumption of highly processed foods may also disrupt the gut microbiome, Dr. Chan said, which, in turn, may increase depression risk.
“This is an important potential mechanism linking ultraprocessed food to depression since there is emerging evidence that microbes in the gut have been linked with mood through their role in metabolizing and producing proteins that have activity in the brain,” he said.
In addition, with UPFs that contain aspartame, there could be a more direct link to brain function. In the gastrointestinal track, the sweetener is quickly broken down into methanol, aspartic acid, and phenylalanine. All three enter the bloodstream, cross the blood-brain barrier, and are neuroactive.
“Phenylalanine is a precursor for neurotransmitters in the brain, and aspartic acid activates the glutamate excitatory neurotransmitter receptor,” Dr. Bhide said. “The effects we’ve seen could be due to these metabolites that have a direct effect on the brain function.”
Time to act?
Some researchers are building a case for classifying UPFs as addictive substances. Others are calling for additional research on UPF safety that is conducted outside the food industry.
There has also been some discussion of placing warning labels on UPFs. However, there is disagreement about what information should be included and how consumers might interpret it. The question of which food products are UPFs and which are not also isn’t settled. The NOVA system may be widely used, but it still has its detractors who believe it misclassifies some healthy foods as ultraprocessed.
Dr. Chan and other experts say the research conducted thus far requires additional corroboration to inform appropriate public health interventions. That would likely take the form of a large, randomized trial with one group of participants eating a healthy diet and the other consuming large amounts of UPFs.
“This type of study is extremely challenging given the number of people that would have to be willing to participate and be willing to eat a very specific diet over a long period of time,” Dr. Chan said. “I am also not sure it would be ethical to assign people to such a diet, given what we already know about the potential health effects of UPFs.”
Dr. Thiagarajan and others have called on funding agencies to direct more grant monies toward studies of UPFs to better understand their effect on brain health.
“Given the magnitude of the problem and given that there is a fair bit of evidence that points to a potential causal link, then we damn well better put money into this and get to the bottom of it,” she said.
Others are looking to the FDA to increase the agency’s scrutiny of food additives. While some additives such as artificial sweeteners have a place in diets of people with diabetes or obesity, Dr. Bhide suggests it may be wise for healthy individuals to reduce their daily intake of UPFs.
“Our data raise this to a different level because of the transgenerational transmission, which has never been shown before,” he said. “We are saying that the FDA should look in preclinical models at germ cells and maybe transgenerational transmission before approving any food additive.”
A version of this article first appeared on Medscape.com.
Seven metrics oncology practices can track to be successful
and see how they measure up against their peers.
“Once practices figure out what they want to measure, and obviously they want to measure things that they’re not doing so well, they can look for opportunities for improvement,” said Diana Berich Brieva, DHA, MBA, CPC-A, the CEO of Ambulatory Care Consultants, which partners with medical practices to optimize operations and increase revenue.
Benchmarking your practice against others shows you how your numbers stack up to other practices’ metrics by percentile – for instance, whether your revenue is in the 25th, 50th, or 75th percentile against similar practices.
The 2024 MIPS Value Pathways (MVP) for Advancing Cancer Care is a new CMS program with specific metric criteria. The voluntary program has a Nov. 30, 2023, deadline for practices to sign up. The purpose of the program is to help practices identify areas where they can improve. Also, oncology societies such as the American Society of Clinical Oncology (ASCO) have developed metrics for this specialty.
Still, for many practices, it’s essential to develop your own metrics according to your patient population and available resources, explained Dr. Brieva.
Here are seven popular oncology metrics that many practices track to measure success.
1. Productivity
Every practice may think about productivity differently depending on whether it focuses on new patients, revenue, business development, or a combination. You can measure physician productivity in many ways: by the number of new patients per full-time employee (FTE), work relative value units (wRVU) per FTE, which measures physician work, and established patient visits.
Some clinics measure for wRVU for chemotherapy administration and per-hospital visits as a percentage of total patients as well. “We’re a community-based oncology practice, so we don’t use RVUs, but we do use other production numbers,” said Emily Touloukian, DO, an oncologist-hematologist and president of Coastal Cancer Center with four locations around South Carolina. She is assistant professor of internal medicine at the University of South Carolina, Columbia.
“There are lots of quality programs out there that measure how well oncology practices are meeting guidelines. The one we’ve participated with since its inception is [the] Quality Oncology Practice Initiative (QOPI) through [the] American Society of Clinical Oncology (ASCO),” said Dr. Touloukian. “Basically, it’s a chart review and extraction of various indicators in accordance with quality measures.”
Pontchartrain Cancer Center, with four locations around Louisiana, tracks the number of new patients in hematology and oncology by location and provider. They also track follow-up patients. New and follow-up patient metrics are broken down by visit code.
“The E&M code tells me the level of acuity that the physician coded for,” said Kathy Oubre, MS, the CEO of Pontchartrain. Patients with complicated cases get a higher-paying code since clinics get paid differently for each code. Ms. Oubre tracks the codes by provider and says if they bill every patient with the same code, it can put your practice at risk for an audit, even when it’s the lowest billable code.
In the 2019 ASCO survey, the number of new patient visits reported by participants averaged 301 visits per FTE. Established patient visits averaged 3,334.
“When we talk about metrics and how we measure things and how successful our practice is, productivity also has to do with how satisfied the people working for you and with you are,” said Dr. Touloukian.
“If you’re not providing a supportive workplace for your physicians and employees, you’re not going to be successful,” she said. “You’ll end up with doctors coming and going every 2 years, employees quitting all the time, and a need for retraining.” Instead, if you can create a welcoming, sustainable environment where people are happy to come to work, physicians aren’t burnt out, and get to spend time away from the clinic to recharge, productivity will be more successful.
2. Revenue
When participating in their voluntary survey, practices can get a copy of revenue metric data annually from the Medical Group Management Association (MGMA). It collects the number of FTEs, gross revenue, net revenue, and collection rate and is broken down by specialties so your practice can benchmark against others. Total revenue, including oncologists’ salaries per FTE from the ASCO survey, was $7,323,900, but comparisons are difficult since practices differ in services.
Revenue metrics can consist of total revenue (cash collections), net medical excluding radiation services, drug revenue for infusion services, cash expenses including salaries, net accounts receivable, and gross accounts receivable minus contractual allowances and bad debt. Practices can differ on bad debt collection because of the emotional nature of cancer treatment. However, some use revenue cycle management companies with debt collection services; others find charity foundation funds for patients who can’t pay.
Pontchartrain also tracks when its clinic gets paid. Ms. Oubre said the best practice is that your claims receive payment within 21 days. They send claims out every 24 hours. “For example, most of that money is in drugs we’ve administered to patients we’ve likely already paid for.” Since there is a gap between paying their wholesaler for drugs and receiving reimbursement, they closely track claims and payment metrics.
Any claims that get sent back are refiled and sent out again within 24 hours. When claims hit 31 days without a response, the practice reaches out to learn the problem. “We’re proactive rather than waiting for the denial to come,” Ms. Oubre told this news organization. Dr. Brieva said for every revenue metric a practice tracks in which they’re not performing well, the practice has to find a solution. Are too many claims being denied? Do claim forms contain errors? Are most claims being paid in the 21-day window? Is the problem a user error, an issue with the clearinghouse, or an intake error on the other end? The key to successful metric use is to drill down for answers to these questions.
3. Patient satisfaction
Patient satisfaction may be one of the more straightforward metrics practices can track, though not specific to oncology. Dr. Brieva said most metric programs include patient satisfaction surveys against which you can benchmark your practice. You can also create your own emailed patient surveys. The metric can show how satisfied your patients are and how you compare against other practices.
Ms. Oubre said Pontchartrain also tracks metrics around participating in advanced care planning, survivorship care, and transitional care management. Even though most insurers require copays for these services, they’ve found patients who participate in them have an overall better experience.
“The Biden administration also has a Cancer Moon Shot initiative, which intends to reduce cancer deaths by 50% by 2047,” said Dr. Brieva. “They want to reduce deaths and improve the experience of patients. So, tracking survival rates will also be key for this program.”
4. Referrals
Oncology is typically a referral business. So, keeping track of the top referring physicians every quarter is the best way to ensure your referring clinicians are happy with your practice’s service. A best practice is that all new oncology referrals are seen within 48 hours. If your referral metric drops off, especially for top referrers, a physician from your practice should check in with the referrer.
Ms. Oubre runs reports out of the EMR and scrubs for referring providers, so she’s alerted to any issues. “It can be as simple as a front office staff who was rude on the phone,” she said. “We had an issue years ago with one of our schedulers who didn’t want to risk staying after 5:00 p.m., so she wouldn’t put anyone on the schedule after 3:00. But if I hadn’t called and identified that from the referring practitioner, I wouldn’t have known that they couldn’t get late-afternoon appointments at our clinic.”
5. No-show appointments
Practices track no-shows per week to determine which patients did not show up for their visits vs. those who rescheduled. If a patient on active treatment starts no-showing, practices must find out why. Is it a social or a transportation issue, or do they want to discontinue treatment? Often, you can help with the problem if you know what it is.
“Sometimes we can help from a social determinants of health perspective, helping to provide services like transportation, financial assistance, or other things, and patients appreciate that we would care enough to reach out to see if we can help,” said Ms. Oubre.
For recurring no-shows, practices should notify the referring provider. Letting the referring clinician know that the patient stopped coming is a professional courtesy that helps strengthen your referral relationships. You wouldn’t want the referring physician to think the patient is being treated for cancer only to find out later that they discontinued treatment.
6. Injections and infusions
By tracking the number of injections and infusions per location per week, clinics can assess how busy their chemo chairs are and how many injections they give. Benchmarks include the number of initial intravenous infusions/injections and the total number of drug administration services per patient per chair. Similar metrics in radiation oncology are helpful.
7. Pharmacy prescriptions
For practices with an in-house pharmacy, tracking how many prescriptions are written per week by each provider and whether they could fill them in-house or had to send them out to a specialty pharmacy because of an insurance issue tells you the volume of drugs your pharmacy is fulfilling. Point-of-care dispensing pharmacy revenue averaged $1,843,342 in the ASCO survey.
Dr. Brieva mentioned many other trackable metrics, such as the time to start treatment, adherence to treatment guidelines, rates of side effects and complications, patient retention rates, treatment completion rates, and coordination of care with other providers, which may be additional metrics your practice wants to track.
Dr. Touloukian said that practices must be careful how they measure some metrics because if you’re extracting data from the EMR and someone hasn’t entered it correctly, you won’t get accurate information. “I like programs like QOPI because while it’s a little labor intensive, my staff actually goes in and extracts the data from the charts and shows the proof.
“Comparing yourself to other [oncology] practices across the nation helps to ensure you’re achieving a certain level of success on some of these traditional metrics,” said Dr. Touloukian.
A version of this article first appeared on Medscape.com.
and see how they measure up against their peers.
“Once practices figure out what they want to measure, and obviously they want to measure things that they’re not doing so well, they can look for opportunities for improvement,” said Diana Berich Brieva, DHA, MBA, CPC-A, the CEO of Ambulatory Care Consultants, which partners with medical practices to optimize operations and increase revenue.
Benchmarking your practice against others shows you how your numbers stack up to other practices’ metrics by percentile – for instance, whether your revenue is in the 25th, 50th, or 75th percentile against similar practices.
The 2024 MIPS Value Pathways (MVP) for Advancing Cancer Care is a new CMS program with specific metric criteria. The voluntary program has a Nov. 30, 2023, deadline for practices to sign up. The purpose of the program is to help practices identify areas where they can improve. Also, oncology societies such as the American Society of Clinical Oncology (ASCO) have developed metrics for this specialty.
Still, for many practices, it’s essential to develop your own metrics according to your patient population and available resources, explained Dr. Brieva.
Here are seven popular oncology metrics that many practices track to measure success.
1. Productivity
Every practice may think about productivity differently depending on whether it focuses on new patients, revenue, business development, or a combination. You can measure physician productivity in many ways: by the number of new patients per full-time employee (FTE), work relative value units (wRVU) per FTE, which measures physician work, and established patient visits.
Some clinics measure for wRVU for chemotherapy administration and per-hospital visits as a percentage of total patients as well. “We’re a community-based oncology practice, so we don’t use RVUs, but we do use other production numbers,” said Emily Touloukian, DO, an oncologist-hematologist and president of Coastal Cancer Center with four locations around South Carolina. She is assistant professor of internal medicine at the University of South Carolina, Columbia.
“There are lots of quality programs out there that measure how well oncology practices are meeting guidelines. The one we’ve participated with since its inception is [the] Quality Oncology Practice Initiative (QOPI) through [the] American Society of Clinical Oncology (ASCO),” said Dr. Touloukian. “Basically, it’s a chart review and extraction of various indicators in accordance with quality measures.”
Pontchartrain Cancer Center, with four locations around Louisiana, tracks the number of new patients in hematology and oncology by location and provider. They also track follow-up patients. New and follow-up patient metrics are broken down by visit code.
“The E&M code tells me the level of acuity that the physician coded for,” said Kathy Oubre, MS, the CEO of Pontchartrain. Patients with complicated cases get a higher-paying code since clinics get paid differently for each code. Ms. Oubre tracks the codes by provider and says if they bill every patient with the same code, it can put your practice at risk for an audit, even when it’s the lowest billable code.
In the 2019 ASCO survey, the number of new patient visits reported by participants averaged 301 visits per FTE. Established patient visits averaged 3,334.
“When we talk about metrics and how we measure things and how successful our practice is, productivity also has to do with how satisfied the people working for you and with you are,” said Dr. Touloukian.
“If you’re not providing a supportive workplace for your physicians and employees, you’re not going to be successful,” she said. “You’ll end up with doctors coming and going every 2 years, employees quitting all the time, and a need for retraining.” Instead, if you can create a welcoming, sustainable environment where people are happy to come to work, physicians aren’t burnt out, and get to spend time away from the clinic to recharge, productivity will be more successful.
2. Revenue
When participating in their voluntary survey, practices can get a copy of revenue metric data annually from the Medical Group Management Association (MGMA). It collects the number of FTEs, gross revenue, net revenue, and collection rate and is broken down by specialties so your practice can benchmark against others. Total revenue, including oncologists’ salaries per FTE from the ASCO survey, was $7,323,900, but comparisons are difficult since practices differ in services.
Revenue metrics can consist of total revenue (cash collections), net medical excluding radiation services, drug revenue for infusion services, cash expenses including salaries, net accounts receivable, and gross accounts receivable minus contractual allowances and bad debt. Practices can differ on bad debt collection because of the emotional nature of cancer treatment. However, some use revenue cycle management companies with debt collection services; others find charity foundation funds for patients who can’t pay.
Pontchartrain also tracks when its clinic gets paid. Ms. Oubre said the best practice is that your claims receive payment within 21 days. They send claims out every 24 hours. “For example, most of that money is in drugs we’ve administered to patients we’ve likely already paid for.” Since there is a gap between paying their wholesaler for drugs and receiving reimbursement, they closely track claims and payment metrics.
Any claims that get sent back are refiled and sent out again within 24 hours. When claims hit 31 days without a response, the practice reaches out to learn the problem. “We’re proactive rather than waiting for the denial to come,” Ms. Oubre told this news organization. Dr. Brieva said for every revenue metric a practice tracks in which they’re not performing well, the practice has to find a solution. Are too many claims being denied? Do claim forms contain errors? Are most claims being paid in the 21-day window? Is the problem a user error, an issue with the clearinghouse, or an intake error on the other end? The key to successful metric use is to drill down for answers to these questions.
3. Patient satisfaction
Patient satisfaction may be one of the more straightforward metrics practices can track, though not specific to oncology. Dr. Brieva said most metric programs include patient satisfaction surveys against which you can benchmark your practice. You can also create your own emailed patient surveys. The metric can show how satisfied your patients are and how you compare against other practices.
Ms. Oubre said Pontchartrain also tracks metrics around participating in advanced care planning, survivorship care, and transitional care management. Even though most insurers require copays for these services, they’ve found patients who participate in them have an overall better experience.
“The Biden administration also has a Cancer Moon Shot initiative, which intends to reduce cancer deaths by 50% by 2047,” said Dr. Brieva. “They want to reduce deaths and improve the experience of patients. So, tracking survival rates will also be key for this program.”
4. Referrals
Oncology is typically a referral business. So, keeping track of the top referring physicians every quarter is the best way to ensure your referring clinicians are happy with your practice’s service. A best practice is that all new oncology referrals are seen within 48 hours. If your referral metric drops off, especially for top referrers, a physician from your practice should check in with the referrer.
Ms. Oubre runs reports out of the EMR and scrubs for referring providers, so she’s alerted to any issues. “It can be as simple as a front office staff who was rude on the phone,” she said. “We had an issue years ago with one of our schedulers who didn’t want to risk staying after 5:00 p.m., so she wouldn’t put anyone on the schedule after 3:00. But if I hadn’t called and identified that from the referring practitioner, I wouldn’t have known that they couldn’t get late-afternoon appointments at our clinic.”
5. No-show appointments
Practices track no-shows per week to determine which patients did not show up for their visits vs. those who rescheduled. If a patient on active treatment starts no-showing, practices must find out why. Is it a social or a transportation issue, or do they want to discontinue treatment? Often, you can help with the problem if you know what it is.
“Sometimes we can help from a social determinants of health perspective, helping to provide services like transportation, financial assistance, or other things, and patients appreciate that we would care enough to reach out to see if we can help,” said Ms. Oubre.
For recurring no-shows, practices should notify the referring provider. Letting the referring clinician know that the patient stopped coming is a professional courtesy that helps strengthen your referral relationships. You wouldn’t want the referring physician to think the patient is being treated for cancer only to find out later that they discontinued treatment.
6. Injections and infusions
By tracking the number of injections and infusions per location per week, clinics can assess how busy their chemo chairs are and how many injections they give. Benchmarks include the number of initial intravenous infusions/injections and the total number of drug administration services per patient per chair. Similar metrics in radiation oncology are helpful.
7. Pharmacy prescriptions
For practices with an in-house pharmacy, tracking how many prescriptions are written per week by each provider and whether they could fill them in-house or had to send them out to a specialty pharmacy because of an insurance issue tells you the volume of drugs your pharmacy is fulfilling. Point-of-care dispensing pharmacy revenue averaged $1,843,342 in the ASCO survey.
Dr. Brieva mentioned many other trackable metrics, such as the time to start treatment, adherence to treatment guidelines, rates of side effects and complications, patient retention rates, treatment completion rates, and coordination of care with other providers, which may be additional metrics your practice wants to track.
Dr. Touloukian said that practices must be careful how they measure some metrics because if you’re extracting data from the EMR and someone hasn’t entered it correctly, you won’t get accurate information. “I like programs like QOPI because while it’s a little labor intensive, my staff actually goes in and extracts the data from the charts and shows the proof.
“Comparing yourself to other [oncology] practices across the nation helps to ensure you’re achieving a certain level of success on some of these traditional metrics,” said Dr. Touloukian.
A version of this article first appeared on Medscape.com.
and see how they measure up against their peers.
“Once practices figure out what they want to measure, and obviously they want to measure things that they’re not doing so well, they can look for opportunities for improvement,” said Diana Berich Brieva, DHA, MBA, CPC-A, the CEO of Ambulatory Care Consultants, which partners with medical practices to optimize operations and increase revenue.
Benchmarking your practice against others shows you how your numbers stack up to other practices’ metrics by percentile – for instance, whether your revenue is in the 25th, 50th, or 75th percentile against similar practices.
The 2024 MIPS Value Pathways (MVP) for Advancing Cancer Care is a new CMS program with specific metric criteria. The voluntary program has a Nov. 30, 2023, deadline for practices to sign up. The purpose of the program is to help practices identify areas where they can improve. Also, oncology societies such as the American Society of Clinical Oncology (ASCO) have developed metrics for this specialty.
Still, for many practices, it’s essential to develop your own metrics according to your patient population and available resources, explained Dr. Brieva.
Here are seven popular oncology metrics that many practices track to measure success.
1. Productivity
Every practice may think about productivity differently depending on whether it focuses on new patients, revenue, business development, or a combination. You can measure physician productivity in many ways: by the number of new patients per full-time employee (FTE), work relative value units (wRVU) per FTE, which measures physician work, and established patient visits.
Some clinics measure for wRVU for chemotherapy administration and per-hospital visits as a percentage of total patients as well. “We’re a community-based oncology practice, so we don’t use RVUs, but we do use other production numbers,” said Emily Touloukian, DO, an oncologist-hematologist and president of Coastal Cancer Center with four locations around South Carolina. She is assistant professor of internal medicine at the University of South Carolina, Columbia.
“There are lots of quality programs out there that measure how well oncology practices are meeting guidelines. The one we’ve participated with since its inception is [the] Quality Oncology Practice Initiative (QOPI) through [the] American Society of Clinical Oncology (ASCO),” said Dr. Touloukian. “Basically, it’s a chart review and extraction of various indicators in accordance with quality measures.”
Pontchartrain Cancer Center, with four locations around Louisiana, tracks the number of new patients in hematology and oncology by location and provider. They also track follow-up patients. New and follow-up patient metrics are broken down by visit code.
“The E&M code tells me the level of acuity that the physician coded for,” said Kathy Oubre, MS, the CEO of Pontchartrain. Patients with complicated cases get a higher-paying code since clinics get paid differently for each code. Ms. Oubre tracks the codes by provider and says if they bill every patient with the same code, it can put your practice at risk for an audit, even when it’s the lowest billable code.
In the 2019 ASCO survey, the number of new patient visits reported by participants averaged 301 visits per FTE. Established patient visits averaged 3,334.
“When we talk about metrics and how we measure things and how successful our practice is, productivity also has to do with how satisfied the people working for you and with you are,” said Dr. Touloukian.
“If you’re not providing a supportive workplace for your physicians and employees, you’re not going to be successful,” she said. “You’ll end up with doctors coming and going every 2 years, employees quitting all the time, and a need for retraining.” Instead, if you can create a welcoming, sustainable environment where people are happy to come to work, physicians aren’t burnt out, and get to spend time away from the clinic to recharge, productivity will be more successful.
2. Revenue
When participating in their voluntary survey, practices can get a copy of revenue metric data annually from the Medical Group Management Association (MGMA). It collects the number of FTEs, gross revenue, net revenue, and collection rate and is broken down by specialties so your practice can benchmark against others. Total revenue, including oncologists’ salaries per FTE from the ASCO survey, was $7,323,900, but comparisons are difficult since practices differ in services.
Revenue metrics can consist of total revenue (cash collections), net medical excluding radiation services, drug revenue for infusion services, cash expenses including salaries, net accounts receivable, and gross accounts receivable minus contractual allowances and bad debt. Practices can differ on bad debt collection because of the emotional nature of cancer treatment. However, some use revenue cycle management companies with debt collection services; others find charity foundation funds for patients who can’t pay.
Pontchartrain also tracks when its clinic gets paid. Ms. Oubre said the best practice is that your claims receive payment within 21 days. They send claims out every 24 hours. “For example, most of that money is in drugs we’ve administered to patients we’ve likely already paid for.” Since there is a gap between paying their wholesaler for drugs and receiving reimbursement, they closely track claims and payment metrics.
Any claims that get sent back are refiled and sent out again within 24 hours. When claims hit 31 days without a response, the practice reaches out to learn the problem. “We’re proactive rather than waiting for the denial to come,” Ms. Oubre told this news organization. Dr. Brieva said for every revenue metric a practice tracks in which they’re not performing well, the practice has to find a solution. Are too many claims being denied? Do claim forms contain errors? Are most claims being paid in the 21-day window? Is the problem a user error, an issue with the clearinghouse, or an intake error on the other end? The key to successful metric use is to drill down for answers to these questions.
3. Patient satisfaction
Patient satisfaction may be one of the more straightforward metrics practices can track, though not specific to oncology. Dr. Brieva said most metric programs include patient satisfaction surveys against which you can benchmark your practice. You can also create your own emailed patient surveys. The metric can show how satisfied your patients are and how you compare against other practices.
Ms. Oubre said Pontchartrain also tracks metrics around participating in advanced care planning, survivorship care, and transitional care management. Even though most insurers require copays for these services, they’ve found patients who participate in them have an overall better experience.
“The Biden administration also has a Cancer Moon Shot initiative, which intends to reduce cancer deaths by 50% by 2047,” said Dr. Brieva. “They want to reduce deaths and improve the experience of patients. So, tracking survival rates will also be key for this program.”
4. Referrals
Oncology is typically a referral business. So, keeping track of the top referring physicians every quarter is the best way to ensure your referring clinicians are happy with your practice’s service. A best practice is that all new oncology referrals are seen within 48 hours. If your referral metric drops off, especially for top referrers, a physician from your practice should check in with the referrer.
Ms. Oubre runs reports out of the EMR and scrubs for referring providers, so she’s alerted to any issues. “It can be as simple as a front office staff who was rude on the phone,” she said. “We had an issue years ago with one of our schedulers who didn’t want to risk staying after 5:00 p.m., so she wouldn’t put anyone on the schedule after 3:00. But if I hadn’t called and identified that from the referring practitioner, I wouldn’t have known that they couldn’t get late-afternoon appointments at our clinic.”
5. No-show appointments
Practices track no-shows per week to determine which patients did not show up for their visits vs. those who rescheduled. If a patient on active treatment starts no-showing, practices must find out why. Is it a social or a transportation issue, or do they want to discontinue treatment? Often, you can help with the problem if you know what it is.
“Sometimes we can help from a social determinants of health perspective, helping to provide services like transportation, financial assistance, or other things, and patients appreciate that we would care enough to reach out to see if we can help,” said Ms. Oubre.
For recurring no-shows, practices should notify the referring provider. Letting the referring clinician know that the patient stopped coming is a professional courtesy that helps strengthen your referral relationships. You wouldn’t want the referring physician to think the patient is being treated for cancer only to find out later that they discontinued treatment.
6. Injections and infusions
By tracking the number of injections and infusions per location per week, clinics can assess how busy their chemo chairs are and how many injections they give. Benchmarks include the number of initial intravenous infusions/injections and the total number of drug administration services per patient per chair. Similar metrics in radiation oncology are helpful.
7. Pharmacy prescriptions
For practices with an in-house pharmacy, tracking how many prescriptions are written per week by each provider and whether they could fill them in-house or had to send them out to a specialty pharmacy because of an insurance issue tells you the volume of drugs your pharmacy is fulfilling. Point-of-care dispensing pharmacy revenue averaged $1,843,342 in the ASCO survey.
Dr. Brieva mentioned many other trackable metrics, such as the time to start treatment, adherence to treatment guidelines, rates of side effects and complications, patient retention rates, treatment completion rates, and coordination of care with other providers, which may be additional metrics your practice wants to track.
Dr. Touloukian said that practices must be careful how they measure some metrics because if you’re extracting data from the EMR and someone hasn’t entered it correctly, you won’t get accurate information. “I like programs like QOPI because while it’s a little labor intensive, my staff actually goes in and extracts the data from the charts and shows the proof.
“Comparing yourself to other [oncology] practices across the nation helps to ensure you’re achieving a certain level of success on some of these traditional metrics,” said Dr. Touloukian.
A version of this article first appeared on Medscape.com.