Hematology News

Large language models (LLM) such as ChatGPT have shown mixed results in the quality of their responses to consumer questions about cancer.

One recent study found AI chatbots to churn out incomplete, inaccurate, or even nonsensical cancer treatment recommendations, while another found them to generate largely accurate — if technical — responses to the most common cancer questions.

While researchers have seen success with purpose-built chatbots created to address patient concerns about specific cancers, the consensus to date has been that the generalized models like ChatGPT remain works in progress and that physicians should avoid pointing patients to them, for now.

Yet new findings suggest that these chatbots may do better than individual physicians, at least on some measures, when it comes to answering queries about cancer. For research published May 16 in JAMA Oncology (doi: 10.1001/jamaoncol.2024.0836), David Chen, a medical student at the University of Toronto, and his colleagues, isolated a random sample of 200 questions related to cancer care addressed to doctors on the public online forum Reddit. They then compared responses from oncologists with responses generated by three different AI chatbots. The blinded responses were rated for quality, readability, and empathy by six physicians, including oncologists and palliative and supportive care specialists.

Mr. Chen and colleagues’ research was modeled after a 2023 study that measured the quality of physician responses compared with chatbots for general medicine questions addressed to doctors on Reddit. That study found that the chatbots produced more empathetic-sounding answers, something Mr. Chen’s study also found. The best-performing chatbot in Mr. Chen and colleagues’ study, Claude AI, performed significantly higher than the Reddit physicians on all the domains evaluated: quality, empathy, and readability.
 

Q&A With Author of New Research

Mr. Chen discussed his new study’s implications during an interview with this news organization.

Question: What is novel about this study?

Mr. Chen: We’ve seen many evaluations of chatbots that test for medical accuracy, but this study occurs in the domain of oncology care, where there are unique psychosocial and emotional considerations that are not precisely reflected in a general medicine setting. In effect, this study is putting these chatbots through a harder challenge.



Question: Why would chatbot responses seem more empathetic than those of physicians?

Mr. Chen: With the physician responses that we observed in our sample data set, we saw that there was very high variation of amount of apparent effort [in the physician responses]. Some physicians would put in a lot of time and effort, thinking through their response, and others wouldn’t do so as much. These chatbots don’t face fatigue the way humans do, or burnout. So they’re able to consistently provide responses with less variation in empathy.



Question: Do chatbots just seem empathetic because they are chattier?

Mr. Chen: We did think of verbosity as a potential confounder in this study. So we set a word count limit for the chatbot responses to keep it in the range of the physician responses. That way, verbosity was no longer a significant factor.



Question: How were quality and empathy measured by the reviewers?

Mr. Chen: For our study we used two teams of readers, each team composed of three physicians. In terms of the actual metrics we used, they were pilot metrics. There are no well-defined measurement scales or checklists that we could use to measure empathy. This is an emerging field of research. So we came up by consensus with our own set of ratings, and we feel that this is an area for the research to define a standardized set of guidelines.

Another novel aspect of this study is that we separated out different dimensions of quality and empathy. A quality response didn’t just mean it was medically accurate — quality also had to do with the focus and completeness of the response.

With empathy there are cognitive and emotional dimensions. Cognitive empathy uses critical thinking to understand the person’s emotions and thoughts and then adjusting a response to fit that. A patient may not want the best medically indicated treatment for their condition, because they want to preserve their quality of life. The chatbot may be able to adjust its recommendation with consideration of some of those humanistic elements that the patient is presenting with.

Emotional empathy is more about being supportive of the patient’s emotions by using expressions like ‘I understand where you’re coming from.’ or, ‘I can see how that makes you feel.’



Question: Why would physicians, not patients, be the best evaluators of empathy?

Mr. Chen: We’re actually very interested in evaluating patient ratings of empathy. We are conducting a follow-up study that evaluates patient ratings of empathy to the same set of chatbot and physician responses,to see if there are differences.



Question: Should cancer patients go ahead and consult chatbots?

Mr. Chen: Although we did observe increases in all of the metrics compared with physicians, this is a very specialized evaluation scenario where we’re using these Reddit questions and responses.

Naturally, we would need to do a trial, a head to head randomized comparison of physicians versus chatbots.

This pilot study does highlight the promising potential of these chatbots to suggest responses. But we can’t fully recommend that they should be used as standalone clinical tools without physicians.

This Q&A was edited for clarity.

Large language models (LLM) such as ChatGPT have shown mixed results in the quality of their responses to consumer questions about cancer.

One recent study found AI chatbots to churn out incomplete, inaccurate, or even nonsensical cancer treatment recommendations, while another found them to generate largely accurate — if technical — responses to the most common cancer questions.

While researchers have seen success with purpose-built chatbots created to address patient concerns about specific cancers, the consensus to date has been that the generalized models like ChatGPT remain works in progress and that physicians should avoid pointing patients to them, for now.

Yet new findings suggest that these chatbots may do better than individual physicians, at least on some measures, when it comes to answering queries about cancer. For research published May 16 in JAMA Oncology (doi: 10.1001/jamaoncol.2024.0836), David Chen, a medical student at the University of Toronto, and his colleagues, isolated a random sample of 200 questions related to cancer care addressed to doctors on the public online forum Reddit. They then compared responses from oncologists with responses generated by three different AI chatbots. The blinded responses were rated for quality, readability, and empathy by six physicians, including oncologists and palliative and supportive care specialists.

Mr. Chen and colleagues’ research was modeled after a 2023 study that measured the quality of physician responses compared with chatbots for general medicine questions addressed to doctors on Reddit. That study found that the chatbots produced more empathetic-sounding answers, something Mr. Chen’s study also found. The best-performing chatbot in Mr. Chen and colleagues’ study, Claude AI, performed significantly higher than the Reddit physicians on all the domains evaluated: quality, empathy, and readability.
 

Q&A With Author of New Research

Mr. Chen discussed his new study’s implications during an interview with this news organization.

Question: What is novel about this study?

Mr. Chen: We’ve seen many evaluations of chatbots that test for medical accuracy, but this study occurs in the domain of oncology care, where there are unique psychosocial and emotional considerations that are not precisely reflected in a general medicine setting. In effect, this study is putting these chatbots through a harder challenge.



Question: Why would chatbot responses seem more empathetic than those of physicians?

Mr. Chen: With the physician responses that we observed in our sample data set, we saw that there was very high variation of amount of apparent effort [in the physician responses]. Some physicians would put in a lot of time and effort, thinking through their response, and others wouldn’t do so as much. These chatbots don’t face fatigue the way humans do, or burnout. So they’re able to consistently provide responses with less variation in empathy.



Question: Do chatbots just seem empathetic because they are chattier?

Mr. Chen: We did think of verbosity as a potential confounder in this study. So we set a word count limit for the chatbot responses to keep it in the range of the physician responses. That way, verbosity was no longer a significant factor.



Question: How were quality and empathy measured by the reviewers?

Mr. Chen: For our study we used two teams of readers, each team composed of three physicians. In terms of the actual metrics we used, they were pilot metrics. There are no well-defined measurement scales or checklists that we could use to measure empathy. This is an emerging field of research. So we came up by consensus with our own set of ratings, and we feel that this is an area for the research to define a standardized set of guidelines.

Another novel aspect of this study is that we separated out different dimensions of quality and empathy. A quality response didn’t just mean it was medically accurate — quality also had to do with the focus and completeness of the response.

With empathy there are cognitive and emotional dimensions. Cognitive empathy uses critical thinking to understand the person’s emotions and thoughts and then adjusting a response to fit that. A patient may not want the best medically indicated treatment for their condition, because they want to preserve their quality of life. The chatbot may be able to adjust its recommendation with consideration of some of those humanistic elements that the patient is presenting with.

Emotional empathy is more about being supportive of the patient’s emotions by using expressions like ‘I understand where you’re coming from.’ or, ‘I can see how that makes you feel.’



Question: Why would physicians, not patients, be the best evaluators of empathy?

Mr. Chen: We’re actually very interested in evaluating patient ratings of empathy. We are conducting a follow-up study that evaluates patient ratings of empathy to the same set of chatbot and physician responses,to see if there are differences.



Question: Should cancer patients go ahead and consult chatbots?

Mr. Chen: Although we did observe increases in all of the metrics compared with physicians, this is a very specialized evaluation scenario where we’re using these Reddit questions and responses.

Naturally, we would need to do a trial, a head to head randomized comparison of physicians versus chatbots.

This pilot study does highlight the promising potential of these chatbots to suggest responses. But we can’t fully recommend that they should be used as standalone clinical tools without physicians.

This Q&A was edited for clarity.

Large language models (LLM) such as ChatGPT have shown mixed results in the quality of their responses to consumer questions about cancer.

One recent study found AI chatbots to churn out incomplete, inaccurate, or even nonsensical cancer treatment recommendations, while another found them to generate largely accurate — if technical — responses to the most common cancer questions.

While researchers have seen success with purpose-built chatbots created to address patient concerns about specific cancers, the consensus to date has been that the generalized models like ChatGPT remain works in progress and that physicians should avoid pointing patients to them, for now.

Yet new findings suggest that these chatbots may do better than individual physicians, at least on some measures, when it comes to answering queries about cancer. For research published May 16 in JAMA Oncology (doi: 10.1001/jamaoncol.2024.0836), David Chen, a medical student at the University of Toronto, and his colleagues, isolated a random sample of 200 questions related to cancer care addressed to doctors on the public online forum Reddit. They then compared responses from oncologists with responses generated by three different AI chatbots. The blinded responses were rated for quality, readability, and empathy by six physicians, including oncologists and palliative and supportive care specialists.

Mr. Chen and colleagues’ research was modeled after a 2023 study that measured the quality of physician responses compared with chatbots for general medicine questions addressed to doctors on Reddit. That study found that the chatbots produced more empathetic-sounding answers, something Mr. Chen’s study also found. The best-performing chatbot in Mr. Chen and colleagues’ study, Claude AI, performed significantly higher than the Reddit physicians on all the domains evaluated: quality, empathy, and readability.
 

Q&A With Author of New Research

Mr. Chen discussed his new study’s implications during an interview with this news organization.

Question: What is novel about this study?

Mr. Chen: We’ve seen many evaluations of chatbots that test for medical accuracy, but this study occurs in the domain of oncology care, where there are unique psychosocial and emotional considerations that are not precisely reflected in a general medicine setting. In effect, this study is putting these chatbots through a harder challenge.



Question: Why would chatbot responses seem more empathetic than those of physicians?

Mr. Chen: With the physician responses that we observed in our sample data set, we saw that there was very high variation of amount of apparent effort [in the physician responses]. Some physicians would put in a lot of time and effort, thinking through their response, and others wouldn’t do so as much. These chatbots don’t face fatigue the way humans do, or burnout. So they’re able to consistently provide responses with less variation in empathy.



Question: Do chatbots just seem empathetic because they are chattier?

Mr. Chen: We did think of verbosity as a potential confounder in this study. So we set a word count limit for the chatbot responses to keep it in the range of the physician responses. That way, verbosity was no longer a significant factor.



Question: How were quality and empathy measured by the reviewers?

Mr. Chen: For our study we used two teams of readers, each team composed of three physicians. In terms of the actual metrics we used, they were pilot metrics. There are no well-defined measurement scales or checklists that we could use to measure empathy. This is an emerging field of research. So we came up by consensus with our own set of ratings, and we feel that this is an area for the research to define a standardized set of guidelines.

Another novel aspect of this study is that we separated out different dimensions of quality and empathy. A quality response didn’t just mean it was medically accurate — quality also had to do with the focus and completeness of the response.

With empathy there are cognitive and emotional dimensions. Cognitive empathy uses critical thinking to understand the person’s emotions and thoughts and then adjusting a response to fit that. A patient may not want the best medically indicated treatment for their condition, because they want to preserve their quality of life. The chatbot may be able to adjust its recommendation with consideration of some of those humanistic elements that the patient is presenting with.

Emotional empathy is more about being supportive of the patient’s emotions by using expressions like ‘I understand where you’re coming from.’ or, ‘I can see how that makes you feel.’



Question: Why would physicians, not patients, be the best evaluators of empathy?

Mr. Chen: We’re actually very interested in evaluating patient ratings of empathy. We are conducting a follow-up study that evaluates patient ratings of empathy to the same set of chatbot and physician responses,to see if there are differences.



Question: Should cancer patients go ahead and consult chatbots?

Mr. Chen: Although we did observe increases in all of the metrics compared with physicians, this is a very specialized evaluation scenario where we’re using these Reddit questions and responses.

Naturally, we would need to do a trial, a head to head randomized comparison of physicians versus chatbots.

This pilot study does highlight the promising potential of these chatbots to suggest responses. But we can’t fully recommend that they should be used as standalone clinical tools without physicians.

This Q&A was edited for clarity.

The US Food and Drug Administration (FDA) has granted accelerated approval to lisocabtagene maraleucel (Breyanzi, Juno Therapeutics /Bristol Myers Squibb) for adults with relapsed or refractory follicular lymphoma who have received two or more prior lines of systemic therapy.

The approval broadens the use of the CAR T-cell therapy for follicular lymphoma. Previous approval was limited to relapsed/refractory grade 3B disease. Lisocabtagene maraleucel also carries relapsed/refractory B-cell lymphoma and lymphocytic leukemia indications.

The new approval was based on the phase 2 single-arm TRANSCEND FL trial in 94 patients with relapsed/refractory follicular lymphoma after two or more lines of systemic therapy, including an anti-CD20 antibody and an alkylating agent.

Adequate bone marrow function and a performance score of 0-1 were required.

Patients received a single dose 2-7 days after completing lymphodepleting chemotherapy.

The overall response rate was 95.7%. The median duration of response was not reached after a median follow-up of 16.8 months.

The most common nonlaboratory adverse events, occurring in at least 20% of patients, were cytokine release syndrome, headache, musculoskeletal pain, fatigue, constipation, and fever.

Lisocabtagene maraleucel is available only through a Risk Evaluation and Mitigation Strategy program due to the risk for fatal cytokine release syndrome and neurologic toxicities.

A single treatment is almost a half million dollars, according to drugs.com.
 

A version of this article appeared on Medscape.com.

The US Food and Drug Administration (FDA) has granted accelerated approval to lisocabtagene maraleucel (Breyanzi, Juno Therapeutics /Bristol Myers Squibb) for adults with relapsed or refractory follicular lymphoma who have received two or more prior lines of systemic therapy.

The approval broadens the use of the CAR T-cell therapy for follicular lymphoma. Previous approval was limited to relapsed/refractory grade 3B disease. Lisocabtagene maraleucel also carries relapsed/refractory B-cell lymphoma and lymphocytic leukemia indications.

The new approval was based on the phase 2 single-arm TRANSCEND FL trial in 94 patients with relapsed/refractory follicular lymphoma after two or more lines of systemic therapy, including an anti-CD20 antibody and an alkylating agent.

Adequate bone marrow function and a performance score of 0-1 were required.

Patients received a single dose 2-7 days after completing lymphodepleting chemotherapy.

The overall response rate was 95.7%. The median duration of response was not reached after a median follow-up of 16.8 months.

The most common nonlaboratory adverse events, occurring in at least 20% of patients, were cytokine release syndrome, headache, musculoskeletal pain, fatigue, constipation, and fever.

Lisocabtagene maraleucel is available only through a Risk Evaluation and Mitigation Strategy program due to the risk for fatal cytokine release syndrome and neurologic toxicities.

A single treatment is almost a half million dollars, according to drugs.com.
 

A version of this article appeared on Medscape.com.

The US Food and Drug Administration (FDA) has granted accelerated approval to lisocabtagene maraleucel (Breyanzi, Juno Therapeutics /Bristol Myers Squibb) for adults with relapsed or refractory follicular lymphoma who have received two or more prior lines of systemic therapy.

The approval broadens the use of the CAR T-cell therapy for follicular lymphoma. Previous approval was limited to relapsed/refractory grade 3B disease. Lisocabtagene maraleucel also carries relapsed/refractory B-cell lymphoma and lymphocytic leukemia indications.

The new approval was based on the phase 2 single-arm TRANSCEND FL trial in 94 patients with relapsed/refractory follicular lymphoma after two or more lines of systemic therapy, including an anti-CD20 antibody and an alkylating agent.

Adequate bone marrow function and a performance score of 0-1 were required.

Patients received a single dose 2-7 days after completing lymphodepleting chemotherapy.

The overall response rate was 95.7%. The median duration of response was not reached after a median follow-up of 16.8 months.

The most common nonlaboratory adverse events, occurring in at least 20% of patients, were cytokine release syndrome, headache, musculoskeletal pain, fatigue, constipation, and fever.

Lisocabtagene maraleucel is available only through a Risk Evaluation and Mitigation Strategy program due to the risk for fatal cytokine release syndrome and neurologic toxicities.

A single treatment is almost a half million dollars, according to drugs.com.
 

A version of this article appeared on Medscape.com.

SAN DIEGO — Compared with medical oncologists, dermatologists were more likely to correctly classify and grade dermatologic adverse events from cancer therapies, results from a multicenter survey showed.

“New cancer therapies have brought a diversity of treatment-related dermatologic adverse events (dAEs) beyond those experienced with conventional chemotherapy, which has demanded an evolving assessment of toxicities,” researchers led by Nicole R. LeBoeuf, MD, MPH, of the Department of Dermatology at Brigham and Women’s Hospital and the Center for Cutaneous Oncology at the Dana-Farber Brigham Cancer Center, Boston, wrote in a poster presented at the American Academy of Dermatology annual meeting.

The authors noted that “Version 5.0 of the Common Terminology Criteria for Adverse Events (CTCAE v5.0)” serves as the current, broadly accepted criteria for classification and grading during routine medical care and clinical trials. But despite extensive utilization of CTCAE, there is little data regarding its application.”

To evaluate how CTCAE is being used in clinical practice, they sent a four-case survey of dAEs to 81 dermatologists and 182 medical oncologists at six US-based academic institutions. For three of the cases, respondents were asked to classify and grade morbilliform, psoriasiform, and papulopustular rashes based on a review of photographs and text descriptions. For the fourth case, respondents were asked to grade a dAE using only a clinic note text description. The researchers used chi-square tests in R software to compare survey responses.

Compared with medical oncologists, dermatologists were significantly more likely to provide correct responses in characterizing morbilliform and psoriasiform eruptions. “As low as 12%” of medical oncologists were correct, and “as low as 87%” of dermatologists were correct (P < .001). Similarly, dermatologists were significantly more likely to grade the psoriasiform, papulopustular, and written cases correctly compared with medical oncologists (P < .001 for all associations).

“These cases demonstrated poor concordance of classification and grading between specialties and across medical oncology,” the authors concluded in their poster, noting that 87% of medical oncologists were interested in additional educational tools on dAEs. “With correct classification as low as 12%, medical oncologists may have more difficulty delivering appropriate, toxicity-specific therapy and may consider banal eruptions dangerous.”

Poor concordance of grading among the two groups of clinicians “raises the question of whether CTCAE v5.0 is an appropriate determinant for patient continuation on therapy or in trials,” they added. “As anticancer therapy becomes more complex — with new toxicities from novel agents and combinations — we must ensure we have a grading system that is valid across investigators and does not harm patients by instituting unnecessary treatment stops.”

Future studies, they said, “can explore what interventions beyond involvement of dermatologists improve classification and grading in practice.”

Adam Friedman, MD, professor and chair of dermatology at George Washington University, Washington, who was asked to comment on the study, noted that with the continued expansion and introduction of new targeted and immunotherapies in the oncology space, “you can be sure we will continue to appreciate the importance and value of the field of supportive oncodermatology, as hair, skin, and nails are almost guaranteed collateral damage in this story.

“Ensuring early identification and consistent grading severity is not only important for the plethora of patients who are currently developing the litany of cutaneous adverse events but to evaluate potential mitigation strategies and even push along countermeasures down the FDA approval pathway,” Dr. Friedman said. In this study, the investigators demonstrated that work “is sorely needed, not just in dermatology but even more so for our colleagues across the aisle. A central tenet of supportive oncodermatology must also be education for all stakeholders, and the good news is our oncology partners will welcome it.”

Dr. LeBoeuf disclosed that she is a consultant to and has received honoraria from Bayer, Seattle Genetics, Sanofi, Silverback, Fortress Biotech, and Synox Therapeutics outside the submitted work. No other authors reported having financial disclosures. Dr. Friedman directs the supportive oncodermatology program at GW that received independent funding from La Roche-Posay.
 

A version of this article first appeared on Medscape.com.

SAN DIEGO — Compared with medical oncologists, dermatologists were more likely to correctly classify and grade dermatologic adverse events from cancer therapies, results from a multicenter survey showed.

“New cancer therapies have brought a diversity of treatment-related dermatologic adverse events (dAEs) beyond those experienced with conventional chemotherapy, which has demanded an evolving assessment of toxicities,” researchers led by Nicole R. LeBoeuf, MD, MPH, of the Department of Dermatology at Brigham and Women’s Hospital and the Center for Cutaneous Oncology at the Dana-Farber Brigham Cancer Center, Boston, wrote in a poster presented at the American Academy of Dermatology annual meeting.

The authors noted that “Version 5.0 of the Common Terminology Criteria for Adverse Events (CTCAE v5.0)” serves as the current, broadly accepted criteria for classification and grading during routine medical care and clinical trials. But despite extensive utilization of CTCAE, there is little data regarding its application.”

To evaluate how CTCAE is being used in clinical practice, they sent a four-case survey of dAEs to 81 dermatologists and 182 medical oncologists at six US-based academic institutions. For three of the cases, respondents were asked to classify and grade morbilliform, psoriasiform, and papulopustular rashes based on a review of photographs and text descriptions. For the fourth case, respondents were asked to grade a dAE using only a clinic note text description. The researchers used chi-square tests in R software to compare survey responses.

Compared with medical oncologists, dermatologists were significantly more likely to provide correct responses in characterizing morbilliform and psoriasiform eruptions. “As low as 12%” of medical oncologists were correct, and “as low as 87%” of dermatologists were correct (P < .001). Similarly, dermatologists were significantly more likely to grade the psoriasiform, papulopustular, and written cases correctly compared with medical oncologists (P < .001 for all associations).

“These cases demonstrated poor concordance of classification and grading between specialties and across medical oncology,” the authors concluded in their poster, noting that 87% of medical oncologists were interested in additional educational tools on dAEs. “With correct classification as low as 12%, medical oncologists may have more difficulty delivering appropriate, toxicity-specific therapy and may consider banal eruptions dangerous.”

Poor concordance of grading among the two groups of clinicians “raises the question of whether CTCAE v5.0 is an appropriate determinant for patient continuation on therapy or in trials,” they added. “As anticancer therapy becomes more complex — with new toxicities from novel agents and combinations — we must ensure we have a grading system that is valid across investigators and does not harm patients by instituting unnecessary treatment stops.”

Future studies, they said, “can explore what interventions beyond involvement of dermatologists improve classification and grading in practice.”

Adam Friedman, MD, professor and chair of dermatology at George Washington University, Washington, who was asked to comment on the study, noted that with the continued expansion and introduction of new targeted and immunotherapies in the oncology space, “you can be sure we will continue to appreciate the importance and value of the field of supportive oncodermatology, as hair, skin, and nails are almost guaranteed collateral damage in this story.

“Ensuring early identification and consistent grading severity is not only important for the plethora of patients who are currently developing the litany of cutaneous adverse events but to evaluate potential mitigation strategies and even push along countermeasures down the FDA approval pathway,” Dr. Friedman said. In this study, the investigators demonstrated that work “is sorely needed, not just in dermatology but even more so for our colleagues across the aisle. A central tenet of supportive oncodermatology must also be education for all stakeholders, and the good news is our oncology partners will welcome it.”

Dr. LeBoeuf disclosed that she is a consultant to and has received honoraria from Bayer, Seattle Genetics, Sanofi, Silverback, Fortress Biotech, and Synox Therapeutics outside the submitted work. No other authors reported having financial disclosures. Dr. Friedman directs the supportive oncodermatology program at GW that received independent funding from La Roche-Posay.
 

A version of this article first appeared on Medscape.com.

SAN DIEGO — Compared with medical oncologists, dermatologists were more likely to correctly classify and grade dermatologic adverse events from cancer therapies, results from a multicenter survey showed.

“New cancer therapies have brought a diversity of treatment-related dermatologic adverse events (dAEs) beyond those experienced with conventional chemotherapy, which has demanded an evolving assessment of toxicities,” researchers led by Nicole R. LeBoeuf, MD, MPH, of the Department of Dermatology at Brigham and Women’s Hospital and the Center for Cutaneous Oncology at the Dana-Farber Brigham Cancer Center, Boston, wrote in a poster presented at the American Academy of Dermatology annual meeting.

The authors noted that “Version 5.0 of the Common Terminology Criteria for Adverse Events (CTCAE v5.0)” serves as the current, broadly accepted criteria for classification and grading during routine medical care and clinical trials. But despite extensive utilization of CTCAE, there is little data regarding its application.”

To evaluate how CTCAE is being used in clinical practice, they sent a four-case survey of dAEs to 81 dermatologists and 182 medical oncologists at six US-based academic institutions. For three of the cases, respondents were asked to classify and grade morbilliform, psoriasiform, and papulopustular rashes based on a review of photographs and text descriptions. For the fourth case, respondents were asked to grade a dAE using only a clinic note text description. The researchers used chi-square tests in R software to compare survey responses.

Compared with medical oncologists, dermatologists were significantly more likely to provide correct responses in characterizing morbilliform and psoriasiform eruptions. “As low as 12%” of medical oncologists were correct, and “as low as 87%” of dermatologists were correct (P < .001). Similarly, dermatologists were significantly more likely to grade the psoriasiform, papulopustular, and written cases correctly compared with medical oncologists (P < .001 for all associations).

“These cases demonstrated poor concordance of classification and grading between specialties and across medical oncology,” the authors concluded in their poster, noting that 87% of medical oncologists were interested in additional educational tools on dAEs. “With correct classification as low as 12%, medical oncologists may have more difficulty delivering appropriate, toxicity-specific therapy and may consider banal eruptions dangerous.”

Poor concordance of grading among the two groups of clinicians “raises the question of whether CTCAE v5.0 is an appropriate determinant for patient continuation on therapy or in trials,” they added. “As anticancer therapy becomes more complex — with new toxicities from novel agents and combinations — we must ensure we have a grading system that is valid across investigators and does not harm patients by instituting unnecessary treatment stops.”

Future studies, they said, “can explore what interventions beyond involvement of dermatologists improve classification and grading in practice.”

Adam Friedman, MD, professor and chair of dermatology at George Washington University, Washington, who was asked to comment on the study, noted that with the continued expansion and introduction of new targeted and immunotherapies in the oncology space, “you can be sure we will continue to appreciate the importance and value of the field of supportive oncodermatology, as hair, skin, and nails are almost guaranteed collateral damage in this story.

“Ensuring early identification and consistent grading severity is not only important for the plethora of patients who are currently developing the litany of cutaneous adverse events but to evaluate potential mitigation strategies and even push along countermeasures down the FDA approval pathway,” Dr. Friedman said. In this study, the investigators demonstrated that work “is sorely needed, not just in dermatology but even more so for our colleagues across the aisle. A central tenet of supportive oncodermatology must also be education for all stakeholders, and the good news is our oncology partners will welcome it.”

Dr. LeBoeuf disclosed that she is a consultant to and has received honoraria from Bayer, Seattle Genetics, Sanofi, Silverback, Fortress Biotech, and Synox Therapeutics outside the submitted work. No other authors reported having financial disclosures. Dr. Friedman directs the supportive oncodermatology program at GW that received independent funding from La Roche-Posay.
 

A version of this article first appeared on Medscape.com.

BERLIN — To date, mRNA vaccines have had their largest global presence in combating the COVID-19 pandemic. Intensive research is underway on many other potential applications for this vaccine technology, which suggests a promising future. Martina Prelog, MD, a pediatric and adolescent medicine specialist at the University Hospital of Würzburg in Germany, reported on the principles, research status, and perspectives for these vaccines at the 25th Travel and Health Forum of the Center for Travel Medicine in Berlin.

To understand the future, the immunologist first examined the past. “The induction of cellular and humoral immune responses by externally injected mRNA was discovered in the 1990s,” she said.
 

Instability Challenge

Significant hurdles in mRNA vaccinations included the instability of mRNA and the immune system’s ability to identify foreign mRNA as a threat and destroy mRNA fragments. “The breakthrough toward vaccination came through Dr. Katalin Karikó, who, along with Dr. Drew Weissman, both of the University of Pennsylvania School of Medicine, discovered in 2005 that modifications of mRNA (replacing the nucleoside uridine with pseudouridine) enable better stability of mRNA, reduced immunogenicity, and higher translational capacity at the ribosomes,” said Dr. Prelog.

With this discovery, the two researchers paved the way for the development of mRNA vaccines against COVID-19 and other diseases. They were awarded the Nobel Prize in medicine for their discovery last year.
 

Improved Scalability

“Since 2009, mRNA vaccines have been studied as a treatment option for cancer,” said Dr. Prelog. “Since 2012, they have been studied for the influenza virus and respiratory syncytial virus [RSV].” Consequently, several mRNA vaccines are currently in development or in approval studies. “The mRNA technology offers the advantage of quickly and flexibly responding to new variants of pathogens and the ability to scale up production when there is high demand for a particular vaccine.”

Different forms and designations of mRNA vaccines are used, depending on the application and desired effect, said Dr. Prelog.

In nucleoside-modified mRNA vaccines, modifications in the mRNA sequence enable the mRNA to remain in the body longer and to induce protein synthesis more effectively.

Lipid nanoparticle (LNP)–encapsulated mRNA vaccines protect the coding mRNA sequences against degradation by the body’s enzymes and facilitate the uptake of mRNA into cells, where it then triggers the production of the desired protein. In addition, LNPs are involved in cell stimulation and support the self-adjuvant effect of mRNA vaccines, thus eliminating the need for adjuvants.

Self-amplifying mRNA vaccines include a special mRNA that replicates itself in the cell and contains a sequence for RNA replicase, in addition to the coding sequence for the protein. This composition enables increased production of the target protein without the need for a high amount of external mRNA administration. Such vaccines could trigger a longer and stronger immune response because the immune system has more time to interact with the protein.
 

Cancer Immunotherapy

Dr. Prelog also discussed personalized vaccines for cancer immunotherapy. Personalized mRNA vaccines are tailored to the patient’s genetic characteristics and antigens. They could be used in cancer immunotherapy to activate the immune system selectively against tumor cells.

Multivalent mRNA vaccines contain mRNA that codes for multiple antigens rather than just one protein to generate an immune response. These vaccines could be particularly useful in fighting pathogens with variable or changing surface structures or in eliciting protection against multiple pathogens simultaneously.

The technology of mRNA-encoded antibodies involves introducing mRNA into the cell, which creates light and heavy chains of antibodies. This step leads to the formation of antibodies targeted against toxins (eg, diphtheria and tetanus), animal venoms, infectious agents, or tumor cells.
 

Genetic Engineering

Dr. Prelog also reviewed genetic engineering techniques. In regenerative therapy or protein replacement therapy, skin fibroblasts or other cells are transfected with mRNA to enable conversion into induced pluripotent stem cells. This approach avoids the risk for DNA integration into the genome and associated mutation risks.

Another approach is making post-transcriptional modifications through RNA interference. For example, RNA structures can be used to inhibit the translation of disease-causing proteins. This technique is currently being tested against HIV and tumors such as melanoma.

In addition, mRNA technologies can be combined with CRISPR/Cas9 technology (“gene scissors”) to influence the creation of gene products even more precisely. The advantage of this technique is that mRNA is only transiently expressed, thus preventing unwanted side effects. Furthermore, mRNA is translated directly in the cytoplasm, leading to a faster initiation of gene editing.

Of the numerous ongoing clinical mRNA vaccine studies, around 70% focus on infections, about 12% on cancer, and the rest on autoimmune diseases and neurodegenerative disorders, said Dr. Prelog.
 

Research in Infections

Research in the fields of infectious diseases and oncology is the most advanced: mRNA vaccines against influenza and RSV are already in advanced clinical trials, Dr. Prelog told this news organization.

“Conventional influenza vaccines contain immunogenic surface molecules against hemagglutinin and neuraminidase in various combinations of influenza strains A and B and are produced in egg or cell cultures,” she said. “This is a time-consuming manufacturing process that takes months and, particularly with the egg-based process, bears the risk of changing the vaccine strain.”

“Additionally, influenza viruses undergo antigenic shift and drift through recombination, thus requiring annual adjustments to the vaccines. Thus, these influenza vaccines often lose accuracy in targeting circulating seasonal influenza strains.”

Several mRNA vaccines being tested contain not only coding sequences against hemagglutinin and neuraminidase but also for structural proteins of influenza viruses. “These are more conserved and mutate less easily, meaning they could serve as the basis for universal pandemic influenza vaccines,” said Dr. Prelog.

An advantage of mRNA vaccines, she added, is the strong cellular immune response that they elicit. This response is intended to provide additional protection alongside specific antibodies. An mRNA vaccine with coding sequences for the pre-fusion protein of RSV is in phase 3 trials for approval for vaccination in patients aged 60 years and older. It shows high effectiveness even in older patients and those with comorbidities.
 

Elaborate Purification Process

Bacterial origin plasmid DNA is used to produce mRNA vaccines. The mRNA vaccines for COVID-19 raised concerns that production-related DNA residues could pose a safety risk and cause autoimmune diseases.

These vaccines “typically undergo a very elaborate purification process,” said Dr. Prelog. “This involves enzymatic digestion with DNase to fragment and deplete plasmid DNA, followed by purification using chromatography columns, so that no safety-relevant DNA fragments should remain afterward.”

Thus, the Paul-Ehrlich-Institut also pointed out the very small, fragmented plasmid DNA residues of bacterial origin in mRNA COVID-19 vaccines pose no risk, unlike residual DNA from animal cell culture might pose in other vaccines.
 

Prevention and Therapy

In addition to the numerous advantages of mRNA vaccines (such as rapid adaptability to new or mutated pathogens, scalability, rapid production capability, self-adjuvant effect, strong induction of cellular immune responses, and safety), there are also challenges in RNA technology as a preventive and therapeutic measure, according to Dr. Prelog.

“Stability and storability, as well as the costs of new vaccine developments, play a role, as do the long-term effects regarding the persistence of antibody and cellular responses,” she said. The COVID-19 mRNA vaccines, for example, showed a well-maintained cellular immune response despite a tendency toward a rapid decline in humoral immune response.

“The experience with COVID-19 mRNA vaccines and the new vaccine developments based on mRNA technology give hope for an efficient and safe preventive and therapeutic use, particularly in the fields of infectious diseases and oncology,” Dr. Prelog concluded.

This story was translated from the Medscape German edition using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

BERLIN — To date, mRNA vaccines have had their largest global presence in combating the COVID-19 pandemic. Intensive research is underway on many other potential applications for this vaccine technology, which suggests a promising future. Martina Prelog, MD, a pediatric and adolescent medicine specialist at the University Hospital of Würzburg in Germany, reported on the principles, research status, and perspectives for these vaccines at the 25th Travel and Health Forum of the Center for Travel Medicine in Berlin.

To understand the future, the immunologist first examined the past. “The induction of cellular and humoral immune responses by externally injected mRNA was discovered in the 1990s,” she said.
 

Instability Challenge

Significant hurdles in mRNA vaccinations included the instability of mRNA and the immune system’s ability to identify foreign mRNA as a threat and destroy mRNA fragments. “The breakthrough toward vaccination came through Dr. Katalin Karikó, who, along with Dr. Drew Weissman, both of the University of Pennsylvania School of Medicine, discovered in 2005 that modifications of mRNA (replacing the nucleoside uridine with pseudouridine) enable better stability of mRNA, reduced immunogenicity, and higher translational capacity at the ribosomes,” said Dr. Prelog.

With this discovery, the two researchers paved the way for the development of mRNA vaccines against COVID-19 and other diseases. They were awarded the Nobel Prize in medicine for their discovery last year.
 

Improved Scalability

“Since 2009, mRNA vaccines have been studied as a treatment option for cancer,” said Dr. Prelog. “Since 2012, they have been studied for the influenza virus and respiratory syncytial virus [RSV].” Consequently, several mRNA vaccines are currently in development or in approval studies. “The mRNA technology offers the advantage of quickly and flexibly responding to new variants of pathogens and the ability to scale up production when there is high demand for a particular vaccine.”

Different forms and designations of mRNA vaccines are used, depending on the application and desired effect, said Dr. Prelog.

In nucleoside-modified mRNA vaccines, modifications in the mRNA sequence enable the mRNA to remain in the body longer and to induce protein synthesis more effectively.

Lipid nanoparticle (LNP)–encapsulated mRNA vaccines protect the coding mRNA sequences against degradation by the body’s enzymes and facilitate the uptake of mRNA into cells, where it then triggers the production of the desired protein. In addition, LNPs are involved in cell stimulation and support the self-adjuvant effect of mRNA vaccines, thus eliminating the need for adjuvants.

Self-amplifying mRNA vaccines include a special mRNA that replicates itself in the cell and contains a sequence for RNA replicase, in addition to the coding sequence for the protein. This composition enables increased production of the target protein without the need for a high amount of external mRNA administration. Such vaccines could trigger a longer and stronger immune response because the immune system has more time to interact with the protein.
 

Cancer Immunotherapy

Dr. Prelog also discussed personalized vaccines for cancer immunotherapy. Personalized mRNA vaccines are tailored to the patient’s genetic characteristics and antigens. They could be used in cancer immunotherapy to activate the immune system selectively against tumor cells.

Multivalent mRNA vaccines contain mRNA that codes for multiple antigens rather than just one protein to generate an immune response. These vaccines could be particularly useful in fighting pathogens with variable or changing surface structures or in eliciting protection against multiple pathogens simultaneously.

The technology of mRNA-encoded antibodies involves introducing mRNA into the cell, which creates light and heavy chains of antibodies. This step leads to the formation of antibodies targeted against toxins (eg, diphtheria and tetanus), animal venoms, infectious agents, or tumor cells.
 

Genetic Engineering

Dr. Prelog also reviewed genetic engineering techniques. In regenerative therapy or protein replacement therapy, skin fibroblasts or other cells are transfected with mRNA to enable conversion into induced pluripotent stem cells. This approach avoids the risk for DNA integration into the genome and associated mutation risks.

Another approach is making post-transcriptional modifications through RNA interference. For example, RNA structures can be used to inhibit the translation of disease-causing proteins. This technique is currently being tested against HIV and tumors such as melanoma.

In addition, mRNA technologies can be combined with CRISPR/Cas9 technology (“gene scissors”) to influence the creation of gene products even more precisely. The advantage of this technique is that mRNA is only transiently expressed, thus preventing unwanted side effects. Furthermore, mRNA is translated directly in the cytoplasm, leading to a faster initiation of gene editing.

Of the numerous ongoing clinical mRNA vaccine studies, around 70% focus on infections, about 12% on cancer, and the rest on autoimmune diseases and neurodegenerative disorders, said Dr. Prelog.
 

Research in Infections

Research in the fields of infectious diseases and oncology is the most advanced: mRNA vaccines against influenza and RSV are already in advanced clinical trials, Dr. Prelog told this news organization.

“Conventional influenza vaccines contain immunogenic surface molecules against hemagglutinin and neuraminidase in various combinations of influenza strains A and B and are produced in egg or cell cultures,” she said. “This is a time-consuming manufacturing process that takes months and, particularly with the egg-based process, bears the risk of changing the vaccine strain.”

“Additionally, influenza viruses undergo antigenic shift and drift through recombination, thus requiring annual adjustments to the vaccines. Thus, these influenza vaccines often lose accuracy in targeting circulating seasonal influenza strains.”

Several mRNA vaccines being tested contain not only coding sequences against hemagglutinin and neuraminidase but also for structural proteins of influenza viruses. “These are more conserved and mutate less easily, meaning they could serve as the basis for universal pandemic influenza vaccines,” said Dr. Prelog.

An advantage of mRNA vaccines, she added, is the strong cellular immune response that they elicit. This response is intended to provide additional protection alongside specific antibodies. An mRNA vaccine with coding sequences for the pre-fusion protein of RSV is in phase 3 trials for approval for vaccination in patients aged 60 years and older. It shows high effectiveness even in older patients and those with comorbidities.
 

Elaborate Purification Process

Bacterial origin plasmid DNA is used to produce mRNA vaccines. The mRNA vaccines for COVID-19 raised concerns that production-related DNA residues could pose a safety risk and cause autoimmune diseases.

These vaccines “typically undergo a very elaborate purification process,” said Dr. Prelog. “This involves enzymatic digestion with DNase to fragment and deplete plasmid DNA, followed by purification using chromatography columns, so that no safety-relevant DNA fragments should remain afterward.”

Thus, the Paul-Ehrlich-Institut also pointed out the very small, fragmented plasmid DNA residues of bacterial origin in mRNA COVID-19 vaccines pose no risk, unlike residual DNA from animal cell culture might pose in other vaccines.
 

Prevention and Therapy

In addition to the numerous advantages of mRNA vaccines (such as rapid adaptability to new or mutated pathogens, scalability, rapid production capability, self-adjuvant effect, strong induction of cellular immune responses, and safety), there are also challenges in RNA technology as a preventive and therapeutic measure, according to Dr. Prelog.

“Stability and storability, as well as the costs of new vaccine developments, play a role, as do the long-term effects regarding the persistence of antibody and cellular responses,” she said. The COVID-19 mRNA vaccines, for example, showed a well-maintained cellular immune response despite a tendency toward a rapid decline in humoral immune response.

“The experience with COVID-19 mRNA vaccines and the new vaccine developments based on mRNA technology give hope for an efficient and safe preventive and therapeutic use, particularly in the fields of infectious diseases and oncology,” Dr. Prelog concluded.

This story was translated from the Medscape German edition using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

BERLIN — To date, mRNA vaccines have had their largest global presence in combating the COVID-19 pandemic. Intensive research is underway on many other potential applications for this vaccine technology, which suggests a promising future. Martina Prelog, MD, a pediatric and adolescent medicine specialist at the University Hospital of Würzburg in Germany, reported on the principles, research status, and perspectives for these vaccines at the 25th Travel and Health Forum of the Center for Travel Medicine in Berlin.

To understand the future, the immunologist first examined the past. “The induction of cellular and humoral immune responses by externally injected mRNA was discovered in the 1990s,” she said.
 

Instability Challenge

Significant hurdles in mRNA vaccinations included the instability of mRNA and the immune system’s ability to identify foreign mRNA as a threat and destroy mRNA fragments. “The breakthrough toward vaccination came through Dr. Katalin Karikó, who, along with Dr. Drew Weissman, both of the University of Pennsylvania School of Medicine, discovered in 2005 that modifications of mRNA (replacing the nucleoside uridine with pseudouridine) enable better stability of mRNA, reduced immunogenicity, and higher translational capacity at the ribosomes,” said Dr. Prelog.

With this discovery, the two researchers paved the way for the development of mRNA vaccines against COVID-19 and other diseases. They were awarded the Nobel Prize in medicine for their discovery last year.
 

Improved Scalability

“Since 2009, mRNA vaccines have been studied as a treatment option for cancer,” said Dr. Prelog. “Since 2012, they have been studied for the influenza virus and respiratory syncytial virus [RSV].” Consequently, several mRNA vaccines are currently in development or in approval studies. “The mRNA technology offers the advantage of quickly and flexibly responding to new variants of pathogens and the ability to scale up production when there is high demand for a particular vaccine.”

Different forms and designations of mRNA vaccines are used, depending on the application and desired effect, said Dr. Prelog.

In nucleoside-modified mRNA vaccines, modifications in the mRNA sequence enable the mRNA to remain in the body longer and to induce protein synthesis more effectively.

Lipid nanoparticle (LNP)–encapsulated mRNA vaccines protect the coding mRNA sequences against degradation by the body’s enzymes and facilitate the uptake of mRNA into cells, where it then triggers the production of the desired protein. In addition, LNPs are involved in cell stimulation and support the self-adjuvant effect of mRNA vaccines, thus eliminating the need for adjuvants.

Self-amplifying mRNA vaccines include a special mRNA that replicates itself in the cell and contains a sequence for RNA replicase, in addition to the coding sequence for the protein. This composition enables increased production of the target protein without the need for a high amount of external mRNA administration. Such vaccines could trigger a longer and stronger immune response because the immune system has more time to interact with the protein.
 

Cancer Immunotherapy

Dr. Prelog also discussed personalized vaccines for cancer immunotherapy. Personalized mRNA vaccines are tailored to the patient’s genetic characteristics and antigens. They could be used in cancer immunotherapy to activate the immune system selectively against tumor cells.

Multivalent mRNA vaccines contain mRNA that codes for multiple antigens rather than just one protein to generate an immune response. These vaccines could be particularly useful in fighting pathogens with variable or changing surface structures or in eliciting protection against multiple pathogens simultaneously.

The technology of mRNA-encoded antibodies involves introducing mRNA into the cell, which creates light and heavy chains of antibodies. This step leads to the formation of antibodies targeted against toxins (eg, diphtheria and tetanus), animal venoms, infectious agents, or tumor cells.
 

Genetic Engineering

Dr. Prelog also reviewed genetic engineering techniques. In regenerative therapy or protein replacement therapy, skin fibroblasts or other cells are transfected with mRNA to enable conversion into induced pluripotent stem cells. This approach avoids the risk for DNA integration into the genome and associated mutation risks.

Another approach is making post-transcriptional modifications through RNA interference. For example, RNA structures can be used to inhibit the translation of disease-causing proteins. This technique is currently being tested against HIV and tumors such as melanoma.

In addition, mRNA technologies can be combined with CRISPR/Cas9 technology (“gene scissors”) to influence the creation of gene products even more precisely. The advantage of this technique is that mRNA is only transiently expressed, thus preventing unwanted side effects. Furthermore, mRNA is translated directly in the cytoplasm, leading to a faster initiation of gene editing.

Of the numerous ongoing clinical mRNA vaccine studies, around 70% focus on infections, about 12% on cancer, and the rest on autoimmune diseases and neurodegenerative disorders, said Dr. Prelog.
 

Research in Infections

Research in the fields of infectious diseases and oncology is the most advanced: mRNA vaccines against influenza and RSV are already in advanced clinical trials, Dr. Prelog told this news organization.

“Conventional influenza vaccines contain immunogenic surface molecules against hemagglutinin and neuraminidase in various combinations of influenza strains A and B and are produced in egg or cell cultures,” she said. “This is a time-consuming manufacturing process that takes months and, particularly with the egg-based process, bears the risk of changing the vaccine strain.”

“Additionally, influenza viruses undergo antigenic shift and drift through recombination, thus requiring annual adjustments to the vaccines. Thus, these influenza vaccines often lose accuracy in targeting circulating seasonal influenza strains.”

Several mRNA vaccines being tested contain not only coding sequences against hemagglutinin and neuraminidase but also for structural proteins of influenza viruses. “These are more conserved and mutate less easily, meaning they could serve as the basis for universal pandemic influenza vaccines,” said Dr. Prelog.

An advantage of mRNA vaccines, she added, is the strong cellular immune response that they elicit. This response is intended to provide additional protection alongside specific antibodies. An mRNA vaccine with coding sequences for the pre-fusion protein of RSV is in phase 3 trials for approval for vaccination in patients aged 60 years and older. It shows high effectiveness even in older patients and those with comorbidities.
 

Elaborate Purification Process

Bacterial origin plasmid DNA is used to produce mRNA vaccines. The mRNA vaccines for COVID-19 raised concerns that production-related DNA residues could pose a safety risk and cause autoimmune diseases.

These vaccines “typically undergo a very elaborate purification process,” said Dr. Prelog. “This involves enzymatic digestion with DNase to fragment and deplete plasmid DNA, followed by purification using chromatography columns, so that no safety-relevant DNA fragments should remain afterward.”

Thus, the Paul-Ehrlich-Institut also pointed out the very small, fragmented plasmid DNA residues of bacterial origin in mRNA COVID-19 vaccines pose no risk, unlike residual DNA from animal cell culture might pose in other vaccines.
 

Prevention and Therapy

In addition to the numerous advantages of mRNA vaccines (such as rapid adaptability to new or mutated pathogens, scalability, rapid production capability, self-adjuvant effect, strong induction of cellular immune responses, and safety), there are also challenges in RNA technology as a preventive and therapeutic measure, according to Dr. Prelog.

“Stability and storability, as well as the costs of new vaccine developments, play a role, as do the long-term effects regarding the persistence of antibody and cellular responses,” she said. The COVID-19 mRNA vaccines, for example, showed a well-maintained cellular immune response despite a tendency toward a rapid decline in humoral immune response.

“The experience with COVID-19 mRNA vaccines and the new vaccine developments based on mRNA technology give hope for an efficient and safe preventive and therapeutic use, particularly in the fields of infectious diseases and oncology,” Dr. Prelog concluded.

This story was translated from the Medscape German edition using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

Physicians are leaving healthcare in droves, “not because they don’t want to practice ... but because the system is making it more and more difficult for them to care for their patients,” Bruce Scott, MD, president-elect of the American Medical Association (AMA), said at a press conference May 9 at the National Rural Health Association’s Annual Conference in New Orleans. 

He said that shrinking reimbursement rates and excessive administrative tasks are pushing doctors out of the workforce, exacerbating physician shortages in rural locations where 46 million Americans live. 

Rural areas have about one tenth of the specialists that urban areas do, and 65% of rural communities do not have enough primary care doctors, according to federal data. A recent Centers for Disease Control and Prevention report found that people living in rural areas are more likely to die early from preventable causes than their urban counterparts, said Dr. Scott. 

He said the AMA wants Congress to pass legislation to incentivize more physicians to work in rural areas and expand the number of rural and primary care residency spots. Historically, 80% of residents practice within 80 miles of where they complete residency, he said. 

Dr. Scott also hopes Congress will revise the J-1 visa rules to allow qualified international medical graduates to continue to practice in the United States. He’d like to see the pandemic telehealth flexibilities made permanent because these loosened guidelines greatly improved care access for rural areas in recent years. 

Lower Pay Affects Care in Rural, Urban Areas

Decreased reimbursements also have hit rural and urban doctors in independent practice particularly hard, Dr. Scott said. When adjusted for inflation, the current Medicare payment rate for physicians has dropped 29% since 2001, he said. Now that commercial payers tie their reimbursement models to the Medicare rate, physicians are experiencing “severe” financial stress amid rising practice costs and student loan debt. 

He shared anecdotes about how these issues have affected his private otolaryngology practice in Louisville, Kentucky, a state where more than 2 million people live in federally designated primary care professional shortage areas. 

“A major insurance company that controls over 60% of the private payer market in rural Kentucky [recently] offered us ... surgical rates less than they paid us 6 years ago,” he said. 

Dr. Scott said physicians must make difficult choices. “Do we not invest in the latest physical equipment? Do we reduce our number of employees? Do we perhaps stop accepting new Medicare patients?”

He noted that physicians now spend twice as much time on prior authorizations and other administrative tasks as they do on direct patient care. According to a 2022 AMA survey, 33% of physicians reported that the cumbersome prior authorization process led to a serious adverse event for a patient. Eighty percent reported it caused their patient to forgo treatment altogether.

Dr. Scott, who will be sworn in as AMA president in June, said he experiences the frustration daily. 

“I have to get on the phone and justify to an insurance person who rarely has gone to medical school, has never seen the patient, and heck, in my case, sometimes they can’t even say otolaryngology, much less tell me what the appropriate care is for my patient,” he said.

When asked about the impact of private equity in healthcare, Dr. Scott said there is room for all different modes of practice, but private equity could bring a unique benefit. 

“They have deeper pockets to potentially invest in telehealth technology, AI, and better computer systems,” he said. 

But, he said, some private equity-owned systems have abandoned rural areas, and in other regions they “push the physicians to move faster, see more patients, and do the things that are profit-driven.

“The key is to continue to provide ... quality medical care that is determined by an individual physician in consultation with the patient.”
 

A version of this article appeared on Medscape.com.

Physicians are leaving healthcare in droves, “not because they don’t want to practice ... but because the system is making it more and more difficult for them to care for their patients,” Bruce Scott, MD, president-elect of the American Medical Association (AMA), said at a press conference May 9 at the National Rural Health Association’s Annual Conference in New Orleans. 

He said that shrinking reimbursement rates and excessive administrative tasks are pushing doctors out of the workforce, exacerbating physician shortages in rural locations where 46 million Americans live. 

Rural areas have about one tenth of the specialists that urban areas do, and 65% of rural communities do not have enough primary care doctors, according to federal data. A recent Centers for Disease Control and Prevention report found that people living in rural areas are more likely to die early from preventable causes than their urban counterparts, said Dr. Scott. 

He said the AMA wants Congress to pass legislation to incentivize more physicians to work in rural areas and expand the number of rural and primary care residency spots. Historically, 80% of residents practice within 80 miles of where they complete residency, he said. 

Dr. Scott also hopes Congress will revise the J-1 visa rules to allow qualified international medical graduates to continue to practice in the United States. He’d like to see the pandemic telehealth flexibilities made permanent because these loosened guidelines greatly improved care access for rural areas in recent years. 

Lower Pay Affects Care in Rural, Urban Areas

Decreased reimbursements also have hit rural and urban doctors in independent practice particularly hard, Dr. Scott said. When adjusted for inflation, the current Medicare payment rate for physicians has dropped 29% since 2001, he said. Now that commercial payers tie their reimbursement models to the Medicare rate, physicians are experiencing “severe” financial stress amid rising practice costs and student loan debt. 

He shared anecdotes about how these issues have affected his private otolaryngology practice in Louisville, Kentucky, a state where more than 2 million people live in federally designated primary care professional shortage areas. 

“A major insurance company that controls over 60% of the private payer market in rural Kentucky [recently] offered us ... surgical rates less than they paid us 6 years ago,” he said. 

Dr. Scott said physicians must make difficult choices. “Do we not invest in the latest physical equipment? Do we reduce our number of employees? Do we perhaps stop accepting new Medicare patients?”

He noted that physicians now spend twice as much time on prior authorizations and other administrative tasks as they do on direct patient care. According to a 2022 AMA survey, 33% of physicians reported that the cumbersome prior authorization process led to a serious adverse event for a patient. Eighty percent reported it caused their patient to forgo treatment altogether.

Dr. Scott, who will be sworn in as AMA president in June, said he experiences the frustration daily. 

“I have to get on the phone and justify to an insurance person who rarely has gone to medical school, has never seen the patient, and heck, in my case, sometimes they can’t even say otolaryngology, much less tell me what the appropriate care is for my patient,” he said.

When asked about the impact of private equity in healthcare, Dr. Scott said there is room for all different modes of practice, but private equity could bring a unique benefit. 

“They have deeper pockets to potentially invest in telehealth technology, AI, and better computer systems,” he said. 

But, he said, some private equity-owned systems have abandoned rural areas, and in other regions they “push the physicians to move faster, see more patients, and do the things that are profit-driven.

“The key is to continue to provide ... quality medical care that is determined by an individual physician in consultation with the patient.”
 

A version of this article appeared on Medscape.com.

Physicians are leaving healthcare in droves, “not because they don’t want to practice ... but because the system is making it more and more difficult for them to care for their patients,” Bruce Scott, MD, president-elect of the American Medical Association (AMA), said at a press conference May 9 at the National Rural Health Association’s Annual Conference in New Orleans. 

He said that shrinking reimbursement rates and excessive administrative tasks are pushing doctors out of the workforce, exacerbating physician shortages in rural locations where 46 million Americans live. 

Rural areas have about one tenth of the specialists that urban areas do, and 65% of rural communities do not have enough primary care doctors, according to federal data. A recent Centers for Disease Control and Prevention report found that people living in rural areas are more likely to die early from preventable causes than their urban counterparts, said Dr. Scott. 

He said the AMA wants Congress to pass legislation to incentivize more physicians to work in rural areas and expand the number of rural and primary care residency spots. Historically, 80% of residents practice within 80 miles of where they complete residency, he said. 

Dr. Scott also hopes Congress will revise the J-1 visa rules to allow qualified international medical graduates to continue to practice in the United States. He’d like to see the pandemic telehealth flexibilities made permanent because these loosened guidelines greatly improved care access for rural areas in recent years. 

Lower Pay Affects Care in Rural, Urban Areas

Decreased reimbursements also have hit rural and urban doctors in independent practice particularly hard, Dr. Scott said. When adjusted for inflation, the current Medicare payment rate for physicians has dropped 29% since 2001, he said. Now that commercial payers tie their reimbursement models to the Medicare rate, physicians are experiencing “severe” financial stress amid rising practice costs and student loan debt. 

He shared anecdotes about how these issues have affected his private otolaryngology practice in Louisville, Kentucky, a state where more than 2 million people live in federally designated primary care professional shortage areas. 

“A major insurance company that controls over 60% of the private payer market in rural Kentucky [recently] offered us ... surgical rates less than they paid us 6 years ago,” he said. 

Dr. Scott said physicians must make difficult choices. “Do we not invest in the latest physical equipment? Do we reduce our number of employees? Do we perhaps stop accepting new Medicare patients?”

He noted that physicians now spend twice as much time on prior authorizations and other administrative tasks as they do on direct patient care. According to a 2022 AMA survey, 33% of physicians reported that the cumbersome prior authorization process led to a serious adverse event for a patient. Eighty percent reported it caused their patient to forgo treatment altogether.

Dr. Scott, who will be sworn in as AMA president in June, said he experiences the frustration daily. 

“I have to get on the phone and justify to an insurance person who rarely has gone to medical school, has never seen the patient, and heck, in my case, sometimes they can’t even say otolaryngology, much less tell me what the appropriate care is for my patient,” he said.

When asked about the impact of private equity in healthcare, Dr. Scott said there is room for all different modes of practice, but private equity could bring a unique benefit. 

“They have deeper pockets to potentially invest in telehealth technology, AI, and better computer systems,” he said. 

But, he said, some private equity-owned systems have abandoned rural areas, and in other regions they “push the physicians to move faster, see more patients, and do the things that are profit-driven.

“The key is to continue to provide ... quality medical care that is determined by an individual physician in consultation with the patient.”
 

A version of this article appeared on Medscape.com.

Cisplatin is a preferred treatment for a wide range of cancers, including breast, head and neck, lung, ovary, and more. However, its side effects — particularly nephrotoxicity — can be severe. Kidney injury on cisplatin is associated with higher mortality and can jeopardize a patient’s eligibility for other therapies.

Now, in a large study using data from six US cancer centers, researchers have developed a risk algorithm to predict acute kidney injury (AKI) after cisplatin administration.

A risk prediction calculator based on the algorithm is available online for patients and providers to determine an individual patient›s risk for kidney injury from cisplatin using readily available clinical data.

Other risk scores and risk prediction models have been developed to help clinicians assess in advance whether a patient might develop AKI after receiving cisplatin, so that more careful monitoring, dose adjustments, or an alternative treatment, if available, might be considered.

However, previous models were limited by factors such as small sample sizes, lack of external validation, older data, and liberal definitions of AKI, said Shruti Gupta, MD, MPH, director of onco-nephrology at Brigham and Women’s Hospital (BWH) and Dana-Farber Cancer Institute, and David E. Leaf, MD, MMSc, director of clinical and translational research in AKI, Division of Renal Medicine, BWH, Boston.

Dr. Gupta and Dr. Leaf believe their risk score for predicting severe AKI after intravenous (IV) cisplatin, published online in The BMJ, is “more accurate and generalizable than prior models for several reasons,” they told this news organization in a joint email.

“First, we externally validated our findings across cancer centers other than the one where it was developed,” they said. “Second, we focused on moderate to severe kidney injury, the most clinically relevant form of kidney damage, whereas prior models examined more mild forms of kidney injury. Third, we collected data on nearly 25,000 patients receiving their first dose of IV cisplatin, which is larger than all previous studies combined.”
 

‘Herculean Effort’

“We conceived of this study back in 2018, contacted collaborators at each participating cancer center, and had numerous meetings to try to gather granular data on patients treated with their first dose of intravenous (IV) cisplatin,” Dr. Gupta and Dr. Leaf explained. They also incorporated patient feedback from focus groups and surveys.

“This was truly a Herculean effort that involved physicians, programmers, research coordinators, and patients,” they said.

The multicenter study included 24,717 patients — 11,766 in the derivation cohort and 12,951 in the validation cohort. Overall, the median age was about 60 years, about 58% were men, and about 78% were White.

The primary outcome was cisplatin-induced AKI (CP-AKI), defined as a twofold or greater increase in serum creatinine or kidney replacement therapy within 14 days of a first dose of IV cisplatin.

The researchers found that the incidence of CP-AKI was 5.2% in the derivation cohort and 3.3% in the validation cohort. Their simple risk score consisting of nine covariates — age, hypertension, type 2 diabetes, hemoglobin level, white blood cell count, platelet count, serum albumin level, serum magnesium level, and cisplatin dose — predicted a higher risk for CP-AKI in both cohorts.

Notably, adding serum creatinine to the model did not change the area under the curve, and therefore, serum creatinine, though also an independent risk factor for CP-AKI, was not included in the score.

Patients in the highest risk category had 24-fold higher odds of CP-AKI in the derivation cohort and close to 18-fold higher odds in the validation cohort than those in the lowest risk category.

The primary model had a C statistic of 0.75 (95% CI, 0.73-0.76) and showed better discrimination for CP-AKI than previously published models, for which the C statistics ranged from 0.60 to 0.68. The first author of a paper on an earlier model, Shveta Motwani, MD, MMSc, of BWH and Dana-Farber Cancer Institute in Boston, is also a coauthor of the new study.

Greater severity of CP-AKI was associated with shorter 90-day survival (adjusted hazard ratio, 4.63; 95% CI, 3.56-6.02) for stage III CP-AKI vs no CP-AKI.
 

‘Definitive Work’

Joel M. Topf, MD, a nephrologist with expertise in chronic kidney disease in Detroit, who wasn’t involved in the development of the risk score, called the study “a definitive work on an important concept in oncology and nephrology.”

“While this is not the first attempt to devise a risk score, it is by far the biggest,” he told this news organization. Furthermore, the authors “used a diverse population, recruiting patients with a variety of cancers (previous attempts had often used a homogenous diagnosis, putting into question how generalizable the results were) from six different cancer centers.”

In addition, he said, “The authors did not restrict patients with chronic kidney disease or other significant comorbidities and used the geographic diversity to produce a cohort that has an age, gender, racial, and ethnic distribution, which is more representative of the US than previous, single-center attempts to risk score patients.”

An earlier model used the Kidney Disease: Improving Global Outcomes (KDIGO) consensus definition of AKI of an increase in serum creatinine of 0.3 mg/dL, he noted. “While a sensitive definition of AKI, it captures mild, hemodynamic increases in creatinine of questionable significance,” he said.

By contrast, the new score uses KDIGO stage II and above to define AKI. “This is a better choice, as we do not want to dissuade patients and doctors from choosing chemotherapy due to a fear of insignificant kidney damage,” he said.

All that said, Dr. Topf noted that neither the current score nor the earlier model included serum creatinine. “This is curious to me and may represent the small number of patients with representative elevated creatinine in the derivation cohort (only 1.3% with an estimated glomerular filtration rate [eGFR] < 45).”

“Since the cohort is made up of people who received cis-platinum, the low prevalence of eGFRs < 45 may be due to physicians steering away from cis-platinum in this group,” he suggested. “It would be unfortunate if this risk score gave an unintentional ‘green light’ to these patients, exposing them to predictable harm.”
 

‘Certainly Useful’

Anushree Shirali, MD, an associate professor in the Section of Nephrology and consulting physician, Yale Onco-Nephrology, Yale School of Medicine, in New Haven, Connecticut, said that having a prediction score for which patients are more likely to develop AKI after a single dose of cisplatin would be helpful for oncologists, as well as nephrologists.

As a nephrologist, Dr. Shirali mostly sees patients who already have AKI, she told this news organization. But there are circumstances in which the tool could still be helpful.

“Let’s say someone has abnormal kidney function at baseline — ie, creatinine is higher than the normal range — and they were on dialysis 5 years ago for something else, and now, they have cancer and may be given cisplatin. They worry about their chances of getting AKI and needing dialysis again,” she said. “That’s just one scenario in which I might be asked to answer that question and the tool would certainly be useful.”

Other scenarios could include someone who has just one kidney because they donated a kidney for transplant years ago, and now, they have a malignancy and wonder what their actual risk is of getting kidney issues on cisplatin.

Oncologists could use the tool to determine whether a patient should be treated with cisplatin, or if they’re at high risk, whether an alternative that’s not nephrotoxic might be used. By contrast, “if somebody’s low risk and an oncologist thinks cisplatin is the best agent they have, then they might want to go ahead and use it,” Dr. Shirali said.

Future research could take into consideration that CP-AKI is dose dependent, she suggested, because a prediction score that included the number of cisplatin doses could be even more helpful to determine risk. And, even though the derivation and validation cohorts for the new tool are representative of the US population, additional research should also include more racial/ethnic diversity, she said.

Dr. Gupta and Dr. Leaf hope their tool “will be utilized immediately by patients and providers to help predict an individual’s risk of cisplatin-associated kidney damage. It is easy to use, available for free online, and incorporates readily available clinical variables.”

If a patient is at high risk, the clinical team can consider preventive measures such as administering more IV fluids before receiving cisplatin or monitoring kidney function more closely afterward, they suggested.

Dr. Gupta reported research support from the National Institutes of Health (NIH) and the National Institute of Diabetes and Digestive and Kidney Diseases. She also reported research funding from BTG International, GE HealthCare, and AstraZeneca outside the submitted work. She is a member of GlaxoSmithKline’s Global Anemia Council, a consultant for Secretome and Proletariat Therapeutics, and founder and president emeritus of the American Society of Onconephrology (unpaid). Dr. Leaf is supported by NIH grants, reported research support from BioPorto, BTG International, and Metro International Biotech, and has served as a consultant. Dr. Topf reported an ownership stake in a few DaVita-run dialysis clinics. He also runs a vascular access center and has participated in advisory boards with Cara Therapeutics, Vifor, Astra Zeneca, Bayer, Renibus Therapeutics, Travere Therapeutics, and GlaxoSmithKline. He is president of NephJC, a nonprofit educational organization with no industry support. Dr. Shirali declared no competing interests.

A version of this article appeared on Medscape.com.

Cisplatin is a preferred treatment for a wide range of cancers, including breast, head and neck, lung, ovary, and more. However, its side effects — particularly nephrotoxicity — can be severe. Kidney injury on cisplatin is associated with higher mortality and can jeopardize a patient’s eligibility for other therapies.

Now, in a large study using data from six US cancer centers, researchers have developed a risk algorithm to predict acute kidney injury (AKI) after cisplatin administration.

A risk prediction calculator based on the algorithm is available online for patients and providers to determine an individual patient›s risk for kidney injury from cisplatin using readily available clinical data.

Other risk scores and risk prediction models have been developed to help clinicians assess in advance whether a patient might develop AKI after receiving cisplatin, so that more careful monitoring, dose adjustments, or an alternative treatment, if available, might be considered.

However, previous models were limited by factors such as small sample sizes, lack of external validation, older data, and liberal definitions of AKI, said Shruti Gupta, MD, MPH, director of onco-nephrology at Brigham and Women’s Hospital (BWH) and Dana-Farber Cancer Institute, and David E. Leaf, MD, MMSc, director of clinical and translational research in AKI, Division of Renal Medicine, BWH, Boston.

Dr. Gupta and Dr. Leaf believe their risk score for predicting severe AKI after intravenous (IV) cisplatin, published online in The BMJ, is “more accurate and generalizable than prior models for several reasons,” they told this news organization in a joint email.

“First, we externally validated our findings across cancer centers other than the one where it was developed,” they said. “Second, we focused on moderate to severe kidney injury, the most clinically relevant form of kidney damage, whereas prior models examined more mild forms of kidney injury. Third, we collected data on nearly 25,000 patients receiving their first dose of IV cisplatin, which is larger than all previous studies combined.”
 

‘Herculean Effort’

“We conceived of this study back in 2018, contacted collaborators at each participating cancer center, and had numerous meetings to try to gather granular data on patients treated with their first dose of intravenous (IV) cisplatin,” Dr. Gupta and Dr. Leaf explained. They also incorporated patient feedback from focus groups and surveys.

“This was truly a Herculean effort that involved physicians, programmers, research coordinators, and patients,” they said.

The multicenter study included 24,717 patients — 11,766 in the derivation cohort and 12,951 in the validation cohort. Overall, the median age was about 60 years, about 58% were men, and about 78% were White.

The primary outcome was cisplatin-induced AKI (CP-AKI), defined as a twofold or greater increase in serum creatinine or kidney replacement therapy within 14 days of a first dose of IV cisplatin.

The researchers found that the incidence of CP-AKI was 5.2% in the derivation cohort and 3.3% in the validation cohort. Their simple risk score consisting of nine covariates — age, hypertension, type 2 diabetes, hemoglobin level, white blood cell count, platelet count, serum albumin level, serum magnesium level, and cisplatin dose — predicted a higher risk for CP-AKI in both cohorts.

Notably, adding serum creatinine to the model did not change the area under the curve, and therefore, serum creatinine, though also an independent risk factor for CP-AKI, was not included in the score.

Patients in the highest risk category had 24-fold higher odds of CP-AKI in the derivation cohort and close to 18-fold higher odds in the validation cohort than those in the lowest risk category.

The primary model had a C statistic of 0.75 (95% CI, 0.73-0.76) and showed better discrimination for CP-AKI than previously published models, for which the C statistics ranged from 0.60 to 0.68. The first author of a paper on an earlier model, Shveta Motwani, MD, MMSc, of BWH and Dana-Farber Cancer Institute in Boston, is also a coauthor of the new study.

Greater severity of CP-AKI was associated with shorter 90-day survival (adjusted hazard ratio, 4.63; 95% CI, 3.56-6.02) for stage III CP-AKI vs no CP-AKI.
 

‘Definitive Work’

Joel M. Topf, MD, a nephrologist with expertise in chronic kidney disease in Detroit, who wasn’t involved in the development of the risk score, called the study “a definitive work on an important concept in oncology and nephrology.”

“While this is not the first attempt to devise a risk score, it is by far the biggest,” he told this news organization. Furthermore, the authors “used a diverse population, recruiting patients with a variety of cancers (previous attempts had often used a homogenous diagnosis, putting into question how generalizable the results were) from six different cancer centers.”

In addition, he said, “The authors did not restrict patients with chronic kidney disease or other significant comorbidities and used the geographic diversity to produce a cohort that has an age, gender, racial, and ethnic distribution, which is more representative of the US than previous, single-center attempts to risk score patients.”

An earlier model used the Kidney Disease: Improving Global Outcomes (KDIGO) consensus definition of AKI of an increase in serum creatinine of 0.3 mg/dL, he noted. “While a sensitive definition of AKI, it captures mild, hemodynamic increases in creatinine of questionable significance,” he said.

By contrast, the new score uses KDIGO stage II and above to define AKI. “This is a better choice, as we do not want to dissuade patients and doctors from choosing chemotherapy due to a fear of insignificant kidney damage,” he said.

All that said, Dr. Topf noted that neither the current score nor the earlier model included serum creatinine. “This is curious to me and may represent the small number of patients with representative elevated creatinine in the derivation cohort (only 1.3% with an estimated glomerular filtration rate [eGFR] < 45).”

“Since the cohort is made up of people who received cis-platinum, the low prevalence of eGFRs < 45 may be due to physicians steering away from cis-platinum in this group,” he suggested. “It would be unfortunate if this risk score gave an unintentional ‘green light’ to these patients, exposing them to predictable harm.”
 

‘Certainly Useful’

Anushree Shirali, MD, an associate professor in the Section of Nephrology and consulting physician, Yale Onco-Nephrology, Yale School of Medicine, in New Haven, Connecticut, said that having a prediction score for which patients are more likely to develop AKI after a single dose of cisplatin would be helpful for oncologists, as well as nephrologists.

As a nephrologist, Dr. Shirali mostly sees patients who already have AKI, she told this news organization. But there are circumstances in which the tool could still be helpful.

“Let’s say someone has abnormal kidney function at baseline — ie, creatinine is higher than the normal range — and they were on dialysis 5 years ago for something else, and now, they have cancer and may be given cisplatin. They worry about their chances of getting AKI and needing dialysis again,” she said. “That’s just one scenario in which I might be asked to answer that question and the tool would certainly be useful.”

Other scenarios could include someone who has just one kidney because they donated a kidney for transplant years ago, and now, they have a malignancy and wonder what their actual risk is of getting kidney issues on cisplatin.

Oncologists could use the tool to determine whether a patient should be treated with cisplatin, or if they’re at high risk, whether an alternative that’s not nephrotoxic might be used. By contrast, “if somebody’s low risk and an oncologist thinks cisplatin is the best agent they have, then they might want to go ahead and use it,” Dr. Shirali said.

Future research could take into consideration that CP-AKI is dose dependent, she suggested, because a prediction score that included the number of cisplatin doses could be even more helpful to determine risk. And, even though the derivation and validation cohorts for the new tool are representative of the US population, additional research should also include more racial/ethnic diversity, she said.

Dr. Gupta and Dr. Leaf hope their tool “will be utilized immediately by patients and providers to help predict an individual’s risk of cisplatin-associated kidney damage. It is easy to use, available for free online, and incorporates readily available clinical variables.”

If a patient is at high risk, the clinical team can consider preventive measures such as administering more IV fluids before receiving cisplatin or monitoring kidney function more closely afterward, they suggested.

Dr. Gupta reported research support from the National Institutes of Health (NIH) and the National Institute of Diabetes and Digestive and Kidney Diseases. She also reported research funding from BTG International, GE HealthCare, and AstraZeneca outside the submitted work. She is a member of GlaxoSmithKline’s Global Anemia Council, a consultant for Secretome and Proletariat Therapeutics, and founder and president emeritus of the American Society of Onconephrology (unpaid). Dr. Leaf is supported by NIH grants, reported research support from BioPorto, BTG International, and Metro International Biotech, and has served as a consultant. Dr. Topf reported an ownership stake in a few DaVita-run dialysis clinics. He also runs a vascular access center and has participated in advisory boards with Cara Therapeutics, Vifor, Astra Zeneca, Bayer, Renibus Therapeutics, Travere Therapeutics, and GlaxoSmithKline. He is president of NephJC, a nonprofit educational organization with no industry support. Dr. Shirali declared no competing interests.

A version of this article appeared on Medscape.com.

Cisplatin is a preferred treatment for a wide range of cancers, including breast, head and neck, lung, ovary, and more. However, its side effects — particularly nephrotoxicity — can be severe. Kidney injury on cisplatin is associated with higher mortality and can jeopardize a patient’s eligibility for other therapies.

Now, in a large study using data from six US cancer centers, researchers have developed a risk algorithm to predict acute kidney injury (AKI) after cisplatin administration.

A risk prediction calculator based on the algorithm is available online for patients and providers to determine an individual patient›s risk for kidney injury from cisplatin using readily available clinical data.

Other risk scores and risk prediction models have been developed to help clinicians assess in advance whether a patient might develop AKI after receiving cisplatin, so that more careful monitoring, dose adjustments, or an alternative treatment, if available, might be considered.

However, previous models were limited by factors such as small sample sizes, lack of external validation, older data, and liberal definitions of AKI, said Shruti Gupta, MD, MPH, director of onco-nephrology at Brigham and Women’s Hospital (BWH) and Dana-Farber Cancer Institute, and David E. Leaf, MD, MMSc, director of clinical and translational research in AKI, Division of Renal Medicine, BWH, Boston.

Dr. Gupta and Dr. Leaf believe their risk score for predicting severe AKI after intravenous (IV) cisplatin, published online in The BMJ, is “more accurate and generalizable than prior models for several reasons,” they told this news organization in a joint email.

“First, we externally validated our findings across cancer centers other than the one where it was developed,” they said. “Second, we focused on moderate to severe kidney injury, the most clinically relevant form of kidney damage, whereas prior models examined more mild forms of kidney injury. Third, we collected data on nearly 25,000 patients receiving their first dose of IV cisplatin, which is larger than all previous studies combined.”
 

‘Herculean Effort’

“We conceived of this study back in 2018, contacted collaborators at each participating cancer center, and had numerous meetings to try to gather granular data on patients treated with their first dose of intravenous (IV) cisplatin,” Dr. Gupta and Dr. Leaf explained. They also incorporated patient feedback from focus groups and surveys.

“This was truly a Herculean effort that involved physicians, programmers, research coordinators, and patients,” they said.

The multicenter study included 24,717 patients — 11,766 in the derivation cohort and 12,951 in the validation cohort. Overall, the median age was about 60 years, about 58% were men, and about 78% were White.

The primary outcome was cisplatin-induced AKI (CP-AKI), defined as a twofold or greater increase in serum creatinine or kidney replacement therapy within 14 days of a first dose of IV cisplatin.

The researchers found that the incidence of CP-AKI was 5.2% in the derivation cohort and 3.3% in the validation cohort. Their simple risk score consisting of nine covariates — age, hypertension, type 2 diabetes, hemoglobin level, white blood cell count, platelet count, serum albumin level, serum magnesium level, and cisplatin dose — predicted a higher risk for CP-AKI in both cohorts.

Notably, adding serum creatinine to the model did not change the area under the curve, and therefore, serum creatinine, though also an independent risk factor for CP-AKI, was not included in the score.

Patients in the highest risk category had 24-fold higher odds of CP-AKI in the derivation cohort and close to 18-fold higher odds in the validation cohort than those in the lowest risk category.

The primary model had a C statistic of 0.75 (95% CI, 0.73-0.76) and showed better discrimination for CP-AKI than previously published models, for which the C statistics ranged from 0.60 to 0.68. The first author of a paper on an earlier model, Shveta Motwani, MD, MMSc, of BWH and Dana-Farber Cancer Institute in Boston, is also a coauthor of the new study.

Greater severity of CP-AKI was associated with shorter 90-day survival (adjusted hazard ratio, 4.63; 95% CI, 3.56-6.02) for stage III CP-AKI vs no CP-AKI.
 

‘Definitive Work’

Joel M. Topf, MD, a nephrologist with expertise in chronic kidney disease in Detroit, who wasn’t involved in the development of the risk score, called the study “a definitive work on an important concept in oncology and nephrology.”

“While this is not the first attempt to devise a risk score, it is by far the biggest,” he told this news organization. Furthermore, the authors “used a diverse population, recruiting patients with a variety of cancers (previous attempts had often used a homogenous diagnosis, putting into question how generalizable the results were) from six different cancer centers.”

In addition, he said, “The authors did not restrict patients with chronic kidney disease or other significant comorbidities and used the geographic diversity to produce a cohort that has an age, gender, racial, and ethnic distribution, which is more representative of the US than previous, single-center attempts to risk score patients.”

An earlier model used the Kidney Disease: Improving Global Outcomes (KDIGO) consensus definition of AKI of an increase in serum creatinine of 0.3 mg/dL, he noted. “While a sensitive definition of AKI, it captures mild, hemodynamic increases in creatinine of questionable significance,” he said.

By contrast, the new score uses KDIGO stage II and above to define AKI. “This is a better choice, as we do not want to dissuade patients and doctors from choosing chemotherapy due to a fear of insignificant kidney damage,” he said.

All that said, Dr. Topf noted that neither the current score nor the earlier model included serum creatinine. “This is curious to me and may represent the small number of patients with representative elevated creatinine in the derivation cohort (only 1.3% with an estimated glomerular filtration rate [eGFR] < 45).”

“Since the cohort is made up of people who received cis-platinum, the low prevalence of eGFRs < 45 may be due to physicians steering away from cis-platinum in this group,” he suggested. “It would be unfortunate if this risk score gave an unintentional ‘green light’ to these patients, exposing them to predictable harm.”
 

‘Certainly Useful’

Anushree Shirali, MD, an associate professor in the Section of Nephrology and consulting physician, Yale Onco-Nephrology, Yale School of Medicine, in New Haven, Connecticut, said that having a prediction score for which patients are more likely to develop AKI after a single dose of cisplatin would be helpful for oncologists, as well as nephrologists.

As a nephrologist, Dr. Shirali mostly sees patients who already have AKI, she told this news organization. But there are circumstances in which the tool could still be helpful.

“Let’s say someone has abnormal kidney function at baseline — ie, creatinine is higher than the normal range — and they were on dialysis 5 years ago for something else, and now, they have cancer and may be given cisplatin. They worry about their chances of getting AKI and needing dialysis again,” she said. “That’s just one scenario in which I might be asked to answer that question and the tool would certainly be useful.”

Other scenarios could include someone who has just one kidney because they donated a kidney for transplant years ago, and now, they have a malignancy and wonder what their actual risk is of getting kidney issues on cisplatin.

Oncologists could use the tool to determine whether a patient should be treated with cisplatin, or if they’re at high risk, whether an alternative that’s not nephrotoxic might be used. By contrast, “if somebody’s low risk and an oncologist thinks cisplatin is the best agent they have, then they might want to go ahead and use it,” Dr. Shirali said.

Future research could take into consideration that CP-AKI is dose dependent, she suggested, because a prediction score that included the number of cisplatin doses could be even more helpful to determine risk. And, even though the derivation and validation cohorts for the new tool are representative of the US population, additional research should also include more racial/ethnic diversity, she said.

Dr. Gupta and Dr. Leaf hope their tool “will be utilized immediately by patients and providers to help predict an individual’s risk of cisplatin-associated kidney damage. It is easy to use, available for free online, and incorporates readily available clinical variables.”

If a patient is at high risk, the clinical team can consider preventive measures such as administering more IV fluids before receiving cisplatin or monitoring kidney function more closely afterward, they suggested.

Dr. Gupta reported research support from the National Institutes of Health (NIH) and the National Institute of Diabetes and Digestive and Kidney Diseases. She also reported research funding from BTG International, GE HealthCare, and AstraZeneca outside the submitted work. She is a member of GlaxoSmithKline’s Global Anemia Council, a consultant for Secretome and Proletariat Therapeutics, and founder and president emeritus of the American Society of Onconephrology (unpaid). Dr. Leaf is supported by NIH grants, reported research support from BioPorto, BTG International, and Metro International Biotech, and has served as a consultant. Dr. Topf reported an ownership stake in a few DaVita-run dialysis clinics. He also runs a vascular access center and has participated in advisory boards with Cara Therapeutics, Vifor, Astra Zeneca, Bayer, Renibus Therapeutics, Travere Therapeutics, and GlaxoSmithKline. He is president of NephJC, a nonprofit educational organization with no industry support. Dr. Shirali declared no competing interests.

A version of this article appeared on Medscape.com.

Like it or not, artificial intelligence (AI) is coming to medicine. For many physicians — maybe you — it’s already here.

More than a third of physicians use AI in their practice. And the vast majority of healthcare companies — 94%, according to Morgan Stanley — use some kind of AI machine learning.

“It’s incumbent on physicians, as well as physicians in training, to become familiar with at least the basics [of AI],” said internist Matthew DeCamp, MD, PhD, an associate professor in the Center for Bioethics and Humanities at the University of Colorado Anschutz Medical Campus, Aurora, Colorado.

Understanding AI can help you leverage it safely and effectively — plus “make better-informed decisions about whether or not to use it in [your] practice,” Dr. DeCamp said.

“Frankly, the people who are deciding whether to implement algorithms in our day-to-day lives are oftentimes not physicians,” noted Ravi B. Parikh, MD, an assistant professor at the University of Pennsylvania and director of augmented and artificial intelligence at the Penn Center for Cancer Care Innovation, Philadelphia. Yet, physicians are most qualified to assess an AI tool’s usefulness in clinical practice.

That brings us to the best starting place for your AI education: Your own institution. Find out what AI tools your organization is implementing — and how you can influence them.

“Getting involved with our hospital data governance is the best way not only to learn practically what these AI tools do but also to influence the development process in positive ways,” Dr. Parikh said.

From there, consider the following resources to enhance your AI knowledge.
 

Get a Lay of the Land: Free Primers

Many clinical societies and interest groups have put out AI primers, an easy way to get a broad overview of the technology. The following were recommended or developed by the experts we spoke to, and all are free:

• The American Medical Association’s (AMA’s) framework for advancing healthcare AI lays out actionable guidance. Ask three key questions, the AMA recommends: Does it work? Does it work for my patients? Does it improve health outcomes?
• The Coalition for Health AI’s Blueprint for Trustworthy AI Implementation Guidance and Assurance for Healthcare provides a high-level summary of how to evaluate AI in healthcare, plus steps for implementing it. AI systems should be useful, safe, accountable, explainable, fair, and secure, the report asserted.
• The National Academy of Medicine’s draft code of conduct for AI in healthcare proposes core principles and commitments. These “reflect simple guideposts to guide and gauge behavior in a complex system and provide a starting point for real-time decision-making,” the report said.
• Health AI Partnership — a collaboration of Duke Health and Microsoft — outlines eight key decision points to consider at any stage of AI implementation, whether you’re still planning how to use it or you’ve started but want to improve it. The site also provides a breakdown of standards by regulatory agencies, organizations, and oversight bodies — so you can make sure your practices align with their guidance.

Make the Most of Conferences

Next time you’re at a conference, check the agenda for sessions on AI. “For someone who’s interested in this, I would be looking for content in my next national meeting because, undoubtedly, it’s going to be there,” said Dr. DeCamp. In a fast-moving field like AI, it’s a great way to get fresh, up-to-the-moment insights.

Listen to This Podcast

The New England Journal of Medicine’s free monthly podcast AI Grand Rounds is made for researchers and clinicians. Available on Apple, Spotify, and YouTube, the pod is good for “someone who’s looking to see both where the field is going [and to hear] a retrospective on big-name papers,” said Dr. Parikh . Episodes run for about an hour.

To learn about the challenges of applying AI to biology: Listen to Daphne Koller, PhD, founder of AI-driven drug discovery and development company insitro. For insights on the potential of AI in medicine, tune into the one with Eric Horvitz, MD, PhD, Microsoft’s chief scientific officer.
 

Consider a Class

Look for courses that focus on AI applications in clinical practice rather than a deep dive into theory. (You need to understand how these tools will influence your work, not the intricacies of large language model development.) Be wary of corporate-funded training that centers on one product , which could present conflicts of interest, said Dr. DeCamp. See the chart for courses that meet these criteria.

A version of this article appeared on Medscape.com.

Like it or not, artificial intelligence (AI) is coming to medicine. For many physicians — maybe you — it’s already here.

More than a third of physicians use AI in their practice. And the vast majority of healthcare companies — 94%, according to Morgan Stanley — use some kind of AI machine learning.

“It’s incumbent on physicians, as well as physicians in training, to become familiar with at least the basics [of AI],” said internist Matthew DeCamp, MD, PhD, an associate professor in the Center for Bioethics and Humanities at the University of Colorado Anschutz Medical Campus, Aurora, Colorado.

Understanding AI can help you leverage it safely and effectively — plus “make better-informed decisions about whether or not to use it in [your] practice,” Dr. DeCamp said.

“Frankly, the people who are deciding whether to implement algorithms in our day-to-day lives are oftentimes not physicians,” noted Ravi B. Parikh, MD, an assistant professor at the University of Pennsylvania and director of augmented and artificial intelligence at the Penn Center for Cancer Care Innovation, Philadelphia. Yet, physicians are most qualified to assess an AI tool’s usefulness in clinical practice.

That brings us to the best starting place for your AI education: Your own institution. Find out what AI tools your organization is implementing — and how you can influence them.

“Getting involved with our hospital data governance is the best way not only to learn practically what these AI tools do but also to influence the development process in positive ways,” Dr. Parikh said.

From there, consider the following resources to enhance your AI knowledge.
 

Get a Lay of the Land: Free Primers

Many clinical societies and interest groups have put out AI primers, an easy way to get a broad overview of the technology. The following were recommended or developed by the experts we spoke to, and all are free:

• The American Medical Association’s (AMA’s) framework for advancing healthcare AI lays out actionable guidance. Ask three key questions, the AMA recommends: Does it work? Does it work for my patients? Does it improve health outcomes?
• The Coalition for Health AI’s Blueprint for Trustworthy AI Implementation Guidance and Assurance for Healthcare provides a high-level summary of how to evaluate AI in healthcare, plus steps for implementing it. AI systems should be useful, safe, accountable, explainable, fair, and secure, the report asserted.
• The National Academy of Medicine’s draft code of conduct for AI in healthcare proposes core principles and commitments. These “reflect simple guideposts to guide and gauge behavior in a complex system and provide a starting point for real-time decision-making,” the report said.
• Health AI Partnership — a collaboration of Duke Health and Microsoft — outlines eight key decision points to consider at any stage of AI implementation, whether you’re still planning how to use it or you’ve started but want to improve it. The site also provides a breakdown of standards by regulatory agencies, organizations, and oversight bodies — so you can make sure your practices align with their guidance.

Make the Most of Conferences

Next time you’re at a conference, check the agenda for sessions on AI. “For someone who’s interested in this, I would be looking for content in my next national meeting because, undoubtedly, it’s going to be there,” said Dr. DeCamp. In a fast-moving field like AI, it’s a great way to get fresh, up-to-the-moment insights.

Listen to This Podcast

The New England Journal of Medicine’s free monthly podcast AI Grand Rounds is made for researchers and clinicians. Available on Apple, Spotify, and YouTube, the pod is good for “someone who’s looking to see both where the field is going [and to hear] a retrospective on big-name papers,” said Dr. Parikh . Episodes run for about an hour.

To learn about the challenges of applying AI to biology: Listen to Daphne Koller, PhD, founder of AI-driven drug discovery and development company insitro. For insights on the potential of AI in medicine, tune into the one with Eric Horvitz, MD, PhD, Microsoft’s chief scientific officer.
 

Consider a Class

Look for courses that focus on AI applications in clinical practice rather than a deep dive into theory. (You need to understand how these tools will influence your work, not the intricacies of large language model development.) Be wary of corporate-funded training that centers on one product , which could present conflicts of interest, said Dr. DeCamp. See the chart for courses that meet these criteria.

A version of this article appeared on Medscape.com.

Like it or not, artificial intelligence (AI) is coming to medicine. For many physicians — maybe you — it’s already here.

More than a third of physicians use AI in their practice. And the vast majority of healthcare companies — 94%, according to Morgan Stanley — use some kind of AI machine learning.

“It’s incumbent on physicians, as well as physicians in training, to become familiar with at least the basics [of AI],” said internist Matthew DeCamp, MD, PhD, an associate professor in the Center for Bioethics and Humanities at the University of Colorado Anschutz Medical Campus, Aurora, Colorado.

Understanding AI can help you leverage it safely and effectively — plus “make better-informed decisions about whether or not to use it in [your] practice,” Dr. DeCamp said.

“Frankly, the people who are deciding whether to implement algorithms in our day-to-day lives are oftentimes not physicians,” noted Ravi B. Parikh, MD, an assistant professor at the University of Pennsylvania and director of augmented and artificial intelligence at the Penn Center for Cancer Care Innovation, Philadelphia. Yet, physicians are most qualified to assess an AI tool’s usefulness in clinical practice.

That brings us to the best starting place for your AI education: Your own institution. Find out what AI tools your organization is implementing — and how you can influence them.

“Getting involved with our hospital data governance is the best way not only to learn practically what these AI tools do but also to influence the development process in positive ways,” Dr. Parikh said.

From there, consider the following resources to enhance your AI knowledge.
 

Get a Lay of the Land: Free Primers

Many clinical societies and interest groups have put out AI primers, an easy way to get a broad overview of the technology. The following were recommended or developed by the experts we spoke to, and all are free:

• The American Medical Association’s (AMA’s) framework for advancing healthcare AI lays out actionable guidance. Ask three key questions, the AMA recommends: Does it work? Does it work for my patients? Does it improve health outcomes?
• The Coalition for Health AI’s Blueprint for Trustworthy AI Implementation Guidance and Assurance for Healthcare provides a high-level summary of how to evaluate AI in healthcare, plus steps for implementing it. AI systems should be useful, safe, accountable, explainable, fair, and secure, the report asserted.
• The National Academy of Medicine’s draft code of conduct for AI in healthcare proposes core principles and commitments. These “reflect simple guideposts to guide and gauge behavior in a complex system and provide a starting point for real-time decision-making,” the report said.
• Health AI Partnership — a collaboration of Duke Health and Microsoft — outlines eight key decision points to consider at any stage of AI implementation, whether you’re still planning how to use it or you’ve started but want to improve it. The site also provides a breakdown of standards by regulatory agencies, organizations, and oversight bodies — so you can make sure your practices align with their guidance.

Make the Most of Conferences

Next time you’re at a conference, check the agenda for sessions on AI. “For someone who’s interested in this, I would be looking for content in my next national meeting because, undoubtedly, it’s going to be there,” said Dr. DeCamp. In a fast-moving field like AI, it’s a great way to get fresh, up-to-the-moment insights.

Listen to This Podcast

The New England Journal of Medicine’s free monthly podcast AI Grand Rounds is made for researchers and clinicians. Available on Apple, Spotify, and YouTube, the pod is good for “someone who’s looking to see both where the field is going [and to hear] a retrospective on big-name papers,” said Dr. Parikh . Episodes run for about an hour.

To learn about the challenges of applying AI to biology: Listen to Daphne Koller, PhD, founder of AI-driven drug discovery and development company insitro. For insights on the potential of AI in medicine, tune into the one with Eric Horvitz, MD, PhD, Microsoft’s chief scientific officer.
 

Consider a Class

Look for courses that focus on AI applications in clinical practice rather than a deep dive into theory. (You need to understand how these tools will influence your work, not the intricacies of large language model development.) Be wary of corporate-funded training that centers on one product , which could present conflicts of interest, said Dr. DeCamp. See the chart for courses that meet these criteria.

A version of this article appeared on Medscape.com.

TOPLINE:

Overall, patients with solid tumors who receive an investigational cancer drug experience small progression-free survival (PFS) and overall survival benefits but much higher toxicity than those who receive a control intervention.

METHODOLOGY:

• The view that patients with cancer benefit from access to investigational drugs in the clinical trial setting is widely held but does necessarily align with trial findings, which often show limited evidence of a clinical benefit. First, most investigational treatments assessed in clinical trials fail to gain regulatory approval, and the minority that are approved tend to offer minimal clinical benefit, experts explained.
• To estimate the survival benefit and toxicities associated with receiving experimental treatments, researchers conducted a meta-analysis of 128 trials comprising 141 comparisons of an investigational drug and a control treatment, which included immunotherapies and targeted therapies.
• The analysis included 42 trials in non–small cell lung cancer (NSCLC), 37 in breast cancer, 15 in hepatobiliary cancer, 13 in pancreatic cancer, 12 in colorectal cancer, and 10 in prostate cancer, involving a total of 47,050 patients.
• The primary outcome was PFS and secondary outcomes were overall survival and grades 3-5 serious adverse events.

TAKEAWAY:

• Overall, the experimental treatment was associated with a 20% improvement in PFS (pooled hazard ratio [HR], 0.80), corresponding to a median 1.25-month PFS advantage. The PFS benefit was seen across all cancer types, except pancreatic cancer.
• Overall survival improved by 8% with experimental agents (HR, 0.92), corresponding to 1.18 additional months. A significant overall survival benefit was seen across NSCLC, breast cancer, and hepatobiliary cancer trials but not pancreatic, prostate, colorectal cancer trials.
• Patients in the experimental intervention group, however, experienced much higher risk for grade 3-5 serious adverse events (risk ratio [RR], 1.27), corresponding to 7.40% increase in absolute risk. The greater risk for serious adverse events was significant for all indications except prostate cancer (RR, 1.13; 95% CI, 0.91-1.40).

IN PRACTICE:

“We believe our findings are best interpreted as suggesting that access to experimental interventions that have not yet received full FDA approval is associated with a marginal but nonzero clinical benefit,” the authors wrote. 

“Although our findings seem to reflect poorly on trials as a vehicle for extending survival for participants, they have reassuring implications for clinical investigators, policymakers, and institutional review boards,” the researchers said, explaining that this “scenario allows clinical trials to continue to pursue promising new treatments — supporting incremental advances that sum to large gains over extended periods of research — without disadvantaging patients in comparator groups.”

SOURCE: 

Renata Iskander, MSc, of McGill University, Montreal, Quebec, Canada, led this work, which was published online on April 29, 2024, in Annals of Internal Medicine.

LIMITATIONS:

There was high heterogeneity across studies due to variations in drugs tested, comparators used, and populations involved. The use of comparators below standard care could have inflated survival benefits. Additionally, data collected from ClinicalTrials.gov might be biased due to some trials not being reported. 

DISCLOSURES:

Canadian Institutes of Health Research supported this work. The authors received grants for this work from McGill University, Rossy Cancer Network, and National Science Foundation. One author received consulting fees outside this work. The other authors declared no competing interests.

A version of this article appeared on Medscape.com.

TOPLINE:

Overall, patients with solid tumors who receive an investigational cancer drug experience small progression-free survival (PFS) and overall survival benefits but much higher toxicity than those who receive a control intervention.

METHODOLOGY:

• The view that patients with cancer benefit from access to investigational drugs in the clinical trial setting is widely held but does necessarily align with trial findings, which often show limited evidence of a clinical benefit. First, most investigational treatments assessed in clinical trials fail to gain regulatory approval, and the minority that are approved tend to offer minimal clinical benefit, experts explained.
• To estimate the survival benefit and toxicities associated with receiving experimental treatments, researchers conducted a meta-analysis of 128 trials comprising 141 comparisons of an investigational drug and a control treatment, which included immunotherapies and targeted therapies.
• The analysis included 42 trials in non–small cell lung cancer (NSCLC), 37 in breast cancer, 15 in hepatobiliary cancer, 13 in pancreatic cancer, 12 in colorectal cancer, and 10 in prostate cancer, involving a total of 47,050 patients.
• The primary outcome was PFS and secondary outcomes were overall survival and grades 3-5 serious adverse events.

TAKEAWAY:

• Overall, the experimental treatment was associated with a 20% improvement in PFS (pooled hazard ratio [HR], 0.80), corresponding to a median 1.25-month PFS advantage. The PFS benefit was seen across all cancer types, except pancreatic cancer.
• Overall survival improved by 8% with experimental agents (HR, 0.92), corresponding to 1.18 additional months. A significant overall survival benefit was seen across NSCLC, breast cancer, and hepatobiliary cancer trials but not pancreatic, prostate, colorectal cancer trials.
• Patients in the experimental intervention group, however, experienced much higher risk for grade 3-5 serious adverse events (risk ratio [RR], 1.27), corresponding to 7.40% increase in absolute risk. The greater risk for serious adverse events was significant for all indications except prostate cancer (RR, 1.13; 95% CI, 0.91-1.40).

IN PRACTICE:

“We believe our findings are best interpreted as suggesting that access to experimental interventions that have not yet received full FDA approval is associated with a marginal but nonzero clinical benefit,” the authors wrote. 

“Although our findings seem to reflect poorly on trials as a vehicle for extending survival for participants, they have reassuring implications for clinical investigators, policymakers, and institutional review boards,” the researchers said, explaining that this “scenario allows clinical trials to continue to pursue promising new treatments — supporting incremental advances that sum to large gains over extended periods of research — without disadvantaging patients in comparator groups.”

SOURCE: 

Renata Iskander, MSc, of McGill University, Montreal, Quebec, Canada, led this work, which was published online on April 29, 2024, in Annals of Internal Medicine.

LIMITATIONS:

There was high heterogeneity across studies due to variations in drugs tested, comparators used, and populations involved. The use of comparators below standard care could have inflated survival benefits. Additionally, data collected from ClinicalTrials.gov might be biased due to some trials not being reported. 

DISCLOSURES:

Canadian Institutes of Health Research supported this work. The authors received grants for this work from McGill University, Rossy Cancer Network, and National Science Foundation. One author received consulting fees outside this work. The other authors declared no competing interests.

A version of this article appeared on Medscape.com.

TOPLINE:

Overall, patients with solid tumors who receive an investigational cancer drug experience small progression-free survival (PFS) and overall survival benefits but much higher toxicity than those who receive a control intervention.

METHODOLOGY:

• The view that patients with cancer benefit from access to investigational drugs in the clinical trial setting is widely held but does necessarily align with trial findings, which often show limited evidence of a clinical benefit. First, most investigational treatments assessed in clinical trials fail to gain regulatory approval, and the minority that are approved tend to offer minimal clinical benefit, experts explained.
• To estimate the survival benefit and toxicities associated with receiving experimental treatments, researchers conducted a meta-analysis of 128 trials comprising 141 comparisons of an investigational drug and a control treatment, which included immunotherapies and targeted therapies.
• The analysis included 42 trials in non–small cell lung cancer (NSCLC), 37 in breast cancer, 15 in hepatobiliary cancer, 13 in pancreatic cancer, 12 in colorectal cancer, and 10 in prostate cancer, involving a total of 47,050 patients.
• The primary outcome was PFS and secondary outcomes were overall survival and grades 3-5 serious adverse events.

TAKEAWAY:

• Overall, the experimental treatment was associated with a 20% improvement in PFS (pooled hazard ratio [HR], 0.80), corresponding to a median 1.25-month PFS advantage. The PFS benefit was seen across all cancer types, except pancreatic cancer.
• Overall survival improved by 8% with experimental agents (HR, 0.92), corresponding to 1.18 additional months. A significant overall survival benefit was seen across NSCLC, breast cancer, and hepatobiliary cancer trials but not pancreatic, prostate, colorectal cancer trials.
• Patients in the experimental intervention group, however, experienced much higher risk for grade 3-5 serious adverse events (risk ratio [RR], 1.27), corresponding to 7.40% increase in absolute risk. The greater risk for serious adverse events was significant for all indications except prostate cancer (RR, 1.13; 95% CI, 0.91-1.40).

IN PRACTICE:

“We believe our findings are best interpreted as suggesting that access to experimental interventions that have not yet received full FDA approval is associated with a marginal but nonzero clinical benefit,” the authors wrote. 

“Although our findings seem to reflect poorly on trials as a vehicle for extending survival for participants, they have reassuring implications for clinical investigators, policymakers, and institutional review boards,” the researchers said, explaining that this “scenario allows clinical trials to continue to pursue promising new treatments — supporting incremental advances that sum to large gains over extended periods of research — without disadvantaging patients in comparator groups.”

SOURCE: 

Renata Iskander, MSc, of McGill University, Montreal, Quebec, Canada, led this work, which was published online on April 29, 2024, in Annals of Internal Medicine.

LIMITATIONS:

There was high heterogeneity across studies due to variations in drugs tested, comparators used, and populations involved. The use of comparators below standard care could have inflated survival benefits. Additionally, data collected from ClinicalTrials.gov might be biased due to some trials not being reported. 

DISCLOSURES:

Canadian Institutes of Health Research supported this work. The authors received grants for this work from McGill University, Rossy Cancer Network, and National Science Foundation. One author received consulting fees outside this work. The other authors declared no competing interests.

A version of this article appeared on Medscape.com.

Health-related social needs and medical financial hardship are associated with increased risk of mortality in adult cancer survivors, based on data from more than 10,000 individuals.

Little is known about the specific association between health-related social needs (HRSNs) and mortality risk even though HRSNs, defined as challenges in affording food, housing, and other necessities of daily living, are potential challenges for cancer survivors, wrote Zhiyuan Zheng, PhD, of the American Cancer Society, Atlanta, and colleagues.

A 2020 study by Dr. Zheng and colleagues published in the Journal of the National Comprehensive Cancer Network (NCCN) showed that food insecurity and financial worries had a negative impact on cancer survivorship. In the new study, published in Cancer, the researchers identified cancer survivors using the 2013-2018 National Health Interview Survey (NHIS) and the NHIS Mortality File through December 31, 2019. The researchers examined mortality using the data from the Centers for Disease Control and Prevention’s National Death Index (NDI) through December 31, 2019, which links to the National Health Interview Survey Data used in the study.

Individuals’ HRSNs were categorized into three groups: severe, moderate, and minor/none. HRSNs included food insecurity and nonmedical financial concerns, such as housing costs (rent, mortgage). Medical financial hardship included material, psychological, and behavioral domains and was divided into three groups: 2-3 domains, 1 domain, or 0 domains.
 

What Are the Potential Financial Implications of this Research?

The high costs of cancer care often cause medical financial hardships for cancer survivors, and expenses also may cause psychological distress and nonmedical financial hardship as survivors try to make ends meet while facing medical bills, wrote Dr. Zheng and colleagues.

Policy makers are increasingly interested in adding HRSNs to insurance coverage; recent guidance from the Centers for Medicare & Medicaid Services (CMS) allows individual states to apply to provide nutrition and housing supports through state Medicaid programs, according to authors of a 2023 article published in JAMA Health Forum.

The new study adds to the understanding of how HRSNs impact people with cancer by examining the association with mortality risk, Yelak Biru, MSc, president and chief executive officer of the International Myeloma Foundation, said in an interview.

“This is a key area of study for addressing the disparities in treatments and outcomes that result in inequities,” said Mr. Biru, a patient advocate and multiple myeloma survivor who was not involved in the study.
 

What Does the New Study Show?

The new study characterized HRSNs in 5,855 adult cancer survivors aged 18-64 years and 5,918 aged 65-79 years. In the 18- to 64-year-old group, 25.5% reported moderate levels of HRSNs, and 18.3% reported severe HRSNs. In patients aged 65-79 years, 15.6% and 6.6% reported moderate HRSNs and severe HRSNs, respectively.

Severe HRSN was significantly associated with higher mortality risk in an adjusted analysis in patients aged 18-64 years (hazard ratio 2.00, P < .001).

Among adults aged 65-79 years, severe HRSN was not associated with higher mortality risk; however, in this older age group, those with 2-3 domains of medical financial hardship had significantly increased mortality risk compared with adults aged 65-79 years with zero domains of medical financial hardship (HR 1.58, P = .007).

Although the findings that HRSNs were associated with increased mortality risk, especially in the younger group, were not surprising, they serve as a call to action to address how HRSNs are contributing to cancer mortality, Mr. Biru said in an interview. “HRSNs, like food or housing insecurity, can lead to patients being unable to undergo the best treatment approach for their cancer,” he said.
 

What Are the Limitations and Research Gaps?

The study findings were limited by several factors including the use of self-reports to measure medical financial hardship, food insecurity, and nonmedical financial concerns in the NHIS, the researchers wrote in their discussion. More research with longer follow-up time beyond 1-5 years is needed, wrote Dr. Zheng and colleagues.

Studies also are needed to illustrate how patient navigation can help prevent patients from falling through the cracks with regard to social needs and financial hardships, Mr. Biru told this news organization.

Other areas for research include how addressing social needs affects health outcomes and whether programs designed to address social needs are effective, he said.

“Finally, qualitative research is needed to capture the lived experiences of cancer survivors facing these challenges. This knowledge can inform the development of more patient-centered interventions and policies that effectively address the social determinants of health and improve overall outcomes for all cancer survivors,” Mr. Biru said.
 

What Is the Takeaway Message for Clinicians?

HRSNs and financial hardship are significantly associated with increased risk of mortality in adult cancer survivors, Dr. Zheng and colleagues concluded. Looking ahead, comprehensive assessment of HRSNs and financial hardship may help clinicians connect patients with relevant services to mitigate the social and financial impacts of cancer, they wrote.

“The takeaway message for oncologists in practice is that addressing [HRSNs] and financial hardship is crucial for providing comprehensive and equitable cancer care,” Mr. Biru said during his interview.

“The impact of social determinants of health on cancer outcomes cannot be ignored, and oncologists play a vital role in identifying and addressing these needs,” he said. Sensitive, discussion-based screenings are needed to identify core needs such as food and transportation, but clinicians also can consider broader social factors and work with a team to connect patients to appropriate resources, he added.

“By recognizing the importance of HRSN screening and taking proactive steps to address these needs, oncologists can contribute to improving health outcomes, reducing healthcare disparities, and providing more equitable cancer care for their patients,” he said.
 

What Other Guidance Is Available?

“High-quality cancer care requires treating the whole person; measuring and addressing anything in their life that could result in poorer health outcomes is a key component of comprehensive care,” Mr. Biru emphasized.

In September 2023, the National Comprehensive Cancer Network (NCCN) convened a working group cochaired by Mr. Biru that developed recommendations for how oncology practices should routinely measure HRSNs (NCCN.org/social-needs).

“The working group proposed that every cancer patient be assessed for food, transportation access, and financial and housing security at least once a year, and be reassessed at every care transition point as well,” Mr. Biru said. Such screenings should include follow-up to connect patients with services to address any HRSNs they are experiencing, he added.

Lead author Dr. Zheng is employed by the American Cancer Society, which as a nonprofit receives funds from the public through fundraising and contributions, as well as some support from corporations and industry to support its mission programs and services. Mr. Biru had no financial conflicts to disclose.

Health-related social needs and medical financial hardship are associated with increased risk of mortality in adult cancer survivors, based on data from more than 10,000 individuals.

Little is known about the specific association between health-related social needs (HRSNs) and mortality risk even though HRSNs, defined as challenges in affording food, housing, and other necessities of daily living, are potential challenges for cancer survivors, wrote Zhiyuan Zheng, PhD, of the American Cancer Society, Atlanta, and colleagues.

A 2020 study by Dr. Zheng and colleagues published in the Journal of the National Comprehensive Cancer Network (NCCN) showed that food insecurity and financial worries had a negative impact on cancer survivorship. In the new study, published in Cancer, the researchers identified cancer survivors using the 2013-2018 National Health Interview Survey (NHIS) and the NHIS Mortality File through December 31, 2019. The researchers examined mortality using the data from the Centers for Disease Control and Prevention’s National Death Index (NDI) through December 31, 2019, which links to the National Health Interview Survey Data used in the study.

Individuals’ HRSNs were categorized into three groups: severe, moderate, and minor/none. HRSNs included food insecurity and nonmedical financial concerns, such as housing costs (rent, mortgage). Medical financial hardship included material, psychological, and behavioral domains and was divided into three groups: 2-3 domains, 1 domain, or 0 domains.
 

What Are the Potential Financial Implications of this Research?

The high costs of cancer care often cause medical financial hardships for cancer survivors, and expenses also may cause psychological distress and nonmedical financial hardship as survivors try to make ends meet while facing medical bills, wrote Dr. Zheng and colleagues.

Policy makers are increasingly interested in adding HRSNs to insurance coverage; recent guidance from the Centers for Medicare & Medicaid Services (CMS) allows individual states to apply to provide nutrition and housing supports through state Medicaid programs, according to authors of a 2023 article published in JAMA Health Forum.

The new study adds to the understanding of how HRSNs impact people with cancer by examining the association with mortality risk, Yelak Biru, MSc, president and chief executive officer of the International Myeloma Foundation, said in an interview.

“This is a key area of study for addressing the disparities in treatments and outcomes that result in inequities,” said Mr. Biru, a patient advocate and multiple myeloma survivor who was not involved in the study.
 

What Does the New Study Show?

The new study characterized HRSNs in 5,855 adult cancer survivors aged 18-64 years and 5,918 aged 65-79 years. In the 18- to 64-year-old group, 25.5% reported moderate levels of HRSNs, and 18.3% reported severe HRSNs. In patients aged 65-79 years, 15.6% and 6.6% reported moderate HRSNs and severe HRSNs, respectively.

Severe HRSN was significantly associated with higher mortality risk in an adjusted analysis in patients aged 18-64 years (hazard ratio 2.00, P < .001).

Among adults aged 65-79 years, severe HRSN was not associated with higher mortality risk; however, in this older age group, those with 2-3 domains of medical financial hardship had significantly increased mortality risk compared with adults aged 65-79 years with zero domains of medical financial hardship (HR 1.58, P = .007).

Although the findings that HRSNs were associated with increased mortality risk, especially in the younger group, were not surprising, they serve as a call to action to address how HRSNs are contributing to cancer mortality, Mr. Biru said in an interview. “HRSNs, like food or housing insecurity, can lead to patients being unable to undergo the best treatment approach for their cancer,” he said.
 

What Are the Limitations and Research Gaps?

The study findings were limited by several factors including the use of self-reports to measure medical financial hardship, food insecurity, and nonmedical financial concerns in the NHIS, the researchers wrote in their discussion. More research with longer follow-up time beyond 1-5 years is needed, wrote Dr. Zheng and colleagues.

Studies also are needed to illustrate how patient navigation can help prevent patients from falling through the cracks with regard to social needs and financial hardships, Mr. Biru told this news organization.

Other areas for research include how addressing social needs affects health outcomes and whether programs designed to address social needs are effective, he said.

“Finally, qualitative research is needed to capture the lived experiences of cancer survivors facing these challenges. This knowledge can inform the development of more patient-centered interventions and policies that effectively address the social determinants of health and improve overall outcomes for all cancer survivors,” Mr. Biru said.
 

What Is the Takeaway Message for Clinicians?

HRSNs and financial hardship are significantly associated with increased risk of mortality in adult cancer survivors, Dr. Zheng and colleagues concluded. Looking ahead, comprehensive assessment of HRSNs and financial hardship may help clinicians connect patients with relevant services to mitigate the social and financial impacts of cancer, they wrote.

“The takeaway message for oncologists in practice is that addressing [HRSNs] and financial hardship is crucial for providing comprehensive and equitable cancer care,” Mr. Biru said during his interview.

“The impact of social determinants of health on cancer outcomes cannot be ignored, and oncologists play a vital role in identifying and addressing these needs,” he said. Sensitive, discussion-based screenings are needed to identify core needs such as food and transportation, but clinicians also can consider broader social factors and work with a team to connect patients to appropriate resources, he added.

“By recognizing the importance of HRSN screening and taking proactive steps to address these needs, oncologists can contribute to improving health outcomes, reducing healthcare disparities, and providing more equitable cancer care for their patients,” he said.
 

What Other Guidance Is Available?

“High-quality cancer care requires treating the whole person; measuring and addressing anything in their life that could result in poorer health outcomes is a key component of comprehensive care,” Mr. Biru emphasized.

In September 2023, the National Comprehensive Cancer Network (NCCN) convened a working group cochaired by Mr. Biru that developed recommendations for how oncology practices should routinely measure HRSNs (NCCN.org/social-needs).

“The working group proposed that every cancer patient be assessed for food, transportation access, and financial and housing security at least once a year, and be reassessed at every care transition point as well,” Mr. Biru said. Such screenings should include follow-up to connect patients with services to address any HRSNs they are experiencing, he added.

Lead author Dr. Zheng is employed by the American Cancer Society, which as a nonprofit receives funds from the public through fundraising and contributions, as well as some support from corporations and industry to support its mission programs and services. Mr. Biru had no financial conflicts to disclose.

Health-related social needs and medical financial hardship are associated with increased risk of mortality in adult cancer survivors, based on data from more than 10,000 individuals.

Little is known about the specific association between health-related social needs (HRSNs) and mortality risk even though HRSNs, defined as challenges in affording food, housing, and other necessities of daily living, are potential challenges for cancer survivors, wrote Zhiyuan Zheng, PhD, of the American Cancer Society, Atlanta, and colleagues.

A 2020 study by Dr. Zheng and colleagues published in the Journal of the National Comprehensive Cancer Network (NCCN) showed that food insecurity and financial worries had a negative impact on cancer survivorship. In the new study, published in Cancer, the researchers identified cancer survivors using the 2013-2018 National Health Interview Survey (NHIS) and the NHIS Mortality File through December 31, 2019. The researchers examined mortality using the data from the Centers for Disease Control and Prevention’s National Death Index (NDI) through December 31, 2019, which links to the National Health Interview Survey Data used in the study.

Individuals’ HRSNs were categorized into three groups: severe, moderate, and minor/none. HRSNs included food insecurity and nonmedical financial concerns, such as housing costs (rent, mortgage). Medical financial hardship included material, psychological, and behavioral domains and was divided into three groups: 2-3 domains, 1 domain, or 0 domains.
 

What Are the Potential Financial Implications of this Research?

The high costs of cancer care often cause medical financial hardships for cancer survivors, and expenses also may cause psychological distress and nonmedical financial hardship as survivors try to make ends meet while facing medical bills, wrote Dr. Zheng and colleagues.

Policy makers are increasingly interested in adding HRSNs to insurance coverage; recent guidance from the Centers for Medicare & Medicaid Services (CMS) allows individual states to apply to provide nutrition and housing supports through state Medicaid programs, according to authors of a 2023 article published in JAMA Health Forum.

The new study adds to the understanding of how HRSNs impact people with cancer by examining the association with mortality risk, Yelak Biru, MSc, president and chief executive officer of the International Myeloma Foundation, said in an interview.

“This is a key area of study for addressing the disparities in treatments and outcomes that result in inequities,” said Mr. Biru, a patient advocate and multiple myeloma survivor who was not involved in the study.
 

What Does the New Study Show?

The new study characterized HRSNs in 5,855 adult cancer survivors aged 18-64 years and 5,918 aged 65-79 years. In the 18- to 64-year-old group, 25.5% reported moderate levels of HRSNs, and 18.3% reported severe HRSNs. In patients aged 65-79 years, 15.6% and 6.6% reported moderate HRSNs and severe HRSNs, respectively.

Severe HRSN was significantly associated with higher mortality risk in an adjusted analysis in patients aged 18-64 years (hazard ratio 2.00, P < .001).

Among adults aged 65-79 years, severe HRSN was not associated with higher mortality risk; however, in this older age group, those with 2-3 domains of medical financial hardship had significantly increased mortality risk compared with adults aged 65-79 years with zero domains of medical financial hardship (HR 1.58, P = .007).

Although the findings that HRSNs were associated with increased mortality risk, especially in the younger group, were not surprising, they serve as a call to action to address how HRSNs are contributing to cancer mortality, Mr. Biru said in an interview. “HRSNs, like food or housing insecurity, can lead to patients being unable to undergo the best treatment approach for their cancer,” he said.
 

What Are the Limitations and Research Gaps?

The study findings were limited by several factors including the use of self-reports to measure medical financial hardship, food insecurity, and nonmedical financial concerns in the NHIS, the researchers wrote in their discussion. More research with longer follow-up time beyond 1-5 years is needed, wrote Dr. Zheng and colleagues.

Studies also are needed to illustrate how patient navigation can help prevent patients from falling through the cracks with regard to social needs and financial hardships, Mr. Biru told this news organization.

Other areas for research include how addressing social needs affects health outcomes and whether programs designed to address social needs are effective, he said.

“Finally, qualitative research is needed to capture the lived experiences of cancer survivors facing these challenges. This knowledge can inform the development of more patient-centered interventions and policies that effectively address the social determinants of health and improve overall outcomes for all cancer survivors,” Mr. Biru said.
 

What Is the Takeaway Message for Clinicians?

HRSNs and financial hardship are significantly associated with increased risk of mortality in adult cancer survivors, Dr. Zheng and colleagues concluded. Looking ahead, comprehensive assessment of HRSNs and financial hardship may help clinicians connect patients with relevant services to mitigate the social and financial impacts of cancer, they wrote.

“The takeaway message for oncologists in practice is that addressing [HRSNs] and financial hardship is crucial for providing comprehensive and equitable cancer care,” Mr. Biru said during his interview.

“The impact of social determinants of health on cancer outcomes cannot be ignored, and oncologists play a vital role in identifying and addressing these needs,” he said. Sensitive, discussion-based screenings are needed to identify core needs such as food and transportation, but clinicians also can consider broader social factors and work with a team to connect patients to appropriate resources, he added.

“By recognizing the importance of HRSN screening and taking proactive steps to address these needs, oncologists can contribute to improving health outcomes, reducing healthcare disparities, and providing more equitable cancer care for their patients,” he said.
 

What Other Guidance Is Available?

“High-quality cancer care requires treating the whole person; measuring and addressing anything in their life that could result in poorer health outcomes is a key component of comprehensive care,” Mr. Biru emphasized.

In September 2023, the National Comprehensive Cancer Network (NCCN) convened a working group cochaired by Mr. Biru that developed recommendations for how oncology practices should routinely measure HRSNs (NCCN.org/social-needs).

“The working group proposed that every cancer patient be assessed for food, transportation access, and financial and housing security at least once a year, and be reassessed at every care transition point as well,” Mr. Biru said. Such screenings should include follow-up to connect patients with services to address any HRSNs they are experiencing, he added.

Lead author Dr. Zheng is employed by the American Cancer Society, which as a nonprofit receives funds from the public through fundraising and contributions, as well as some support from corporations and industry to support its mission programs and services. Mr. Biru had no financial conflicts to disclose.

What’s most important to patients with terminal cancer and their caregivers?

New research found that patients and caregivers both tend to prioritize symptom control over life extension but often preferring a balance. Patients and caregivers, however, are less aligned on decisions about cost containment, with patients more likely to prioritize cost containment.

“Our research has revealed that patients and caregivers generally share similar end-of-life goals,” with a “notable exception” when it comes to costs, first author Semra Ozdemir, PhD, with the Lien Centre for Palliative Care, Duke-NUS Medical School, Singapore, told this news organization.

However, when patients and caregivers have a better understanding of the patient’s prognosis, both may be more inclined to avoid costly life-extending treatments and prioritize symptom management.

In other words, the survey suggests that “knowing the prognosis helps patients and their families set realistic expectations for care and adequately prepare for end-of-life decisions,” said Dr. Ozdemir.

This study was published online in JAMA Network Open.

Patients with advanced cancer often face difficult decisions: Do they opt for treatments that may — or may not — extend life or do they focus more on symptom control?

Family caregivers, who also play an important role in this decision-making process, may have different care goals. Some research suggests that caregivers tend to prioritize treatments that could extend life, whereas patients prioritize symptom management, but it’s less clear how these priorities may change over time and how patients and caregivers may influence each other.

In the current study, the researchers examined goals of care among patients with stage IV solid tumors and caregivers during the last 2 years of life, focusing on life extension vs symptom management and cost containment, as well as how these goals changed over time.

The survey included 210 patient-caregiver pairs, recruited from outpatient clinics at two major cancer centers in Singapore. Patients had a mean age of 63 years, and about half were men. The caregivers had a mean age of 49 years, and almost two third (63%) were women.

Overall, 34% patients and 29% caregivers prioritized symptom management over life extension, whereas 24% patients and 19% caregivers prioritized life extension. Most patients and caregivers preferred balancing the two, with 34%-47% patients and 37%-69% caregivers supporting this approach.

When balancing cost and treatment decisions, however, patients were more likely to prioritize containing costs — 28% vs 17% for caregivers — over extending life — 26% of patients vs 35% of caregivers.

Cost containment tended to be more of a priority for older patients, those with a higher symptom burden, and those with less family caregiver support. For caregivers, cost containment was more of a priority for those who reported that caregiving had a big impact on their finances, those with worse self-esteem related to their caregiving abilities, as well as those caring for older patients.

To better align cost containment priorities between patients and caregivers, it’s essential for families to engage in open and thorough discussions about the allocation of resources, Dr. Ozdemir said.

Although “patients, families, and physicians often avoid discussions about prognosis,” such conversations are essential for setting realistic expectations for care and adequately preparing for end-of-life decisions, Dr. Ozdemir told this news organization.

“These conversations should aim to balance competing interests and create care plans that are mutually acceptable to both patients and caregivers,” she said, adding that “this approach will help in minimizing any potential conflicts and ensure that both parties feel respected and understood in their decision-making process.”

Managing Unrealistic Expectations

As patients approached the end of life, neither patients nor caregivers shifted their priorities from life extension to symptom management.

This finding raises concerns because it suggests that many patients hold unrealistic expectations regarding their care and “underscores the need for continuous dialogue and reassessment of care goals throughout the progression of illness,” Dr. Ozdemir said.

“This stability in preferences over time suggests that initial care decisions are deeply ingrained or that there may be a lack of ongoing communication about evolving care needs and possibilities as conditions change,” Ozdemir said.

Yet, it can be hard to define what unrealistic expectations mean, said Olivia Seecof, MD, who wasn’t involved in the study.

“I think people are hopeful that a devastating diagnosis won’t lead to the end of their life and that there will be a treatment or something that will change [their prognosis], and they’ll get better,” said Dr. Seecof, palliative care expert with the Supportive Oncology Program at NYU Langone Health’s Perlmutter Cancer Center in New York City.

Giving patients and caregivers a realistic understanding of the prognosis is important, but “there’s more to it than just telling the patient their diagnosis,” she said.

“We have to plan for end of life, what it can look like,” said Dr. Seecof, adding that “often we don’t do a very good job of talking about that early on in an illness course.”

Overall, though, Dr. Seecof stressed that no two patients or situations are the same, and it’s important to understand what’s important in each scenario. End-of-life care requires “an individual approach because every patient is different, even if they have the same diagnosis as someone else,” she said.

This work was supported by funding from the Singapore Millennium Foundation and the Lien Centre for Palliative Care. Dr. Ozdemir and Dr. Seecof had no relevant disclosures.

A version of this article appeared on Medscape.com.

What’s most important to patients with terminal cancer and their caregivers?

New research found that patients and caregivers both tend to prioritize symptom control over life extension but often preferring a balance. Patients and caregivers, however, are less aligned on decisions about cost containment, with patients more likely to prioritize cost containment.

“Our research has revealed that patients and caregivers generally share similar end-of-life goals,” with a “notable exception” when it comes to costs, first author Semra Ozdemir, PhD, with the Lien Centre for Palliative Care, Duke-NUS Medical School, Singapore, told this news organization.

However, when patients and caregivers have a better understanding of the patient’s prognosis, both may be more inclined to avoid costly life-extending treatments and prioritize symptom management.

In other words, the survey suggests that “knowing the prognosis helps patients and their families set realistic expectations for care and adequately prepare for end-of-life decisions,” said Dr. Ozdemir.

This study was published online in JAMA Network Open.

Patients with advanced cancer often face difficult decisions: Do they opt for treatments that may — or may not — extend life or do they focus more on symptom control?

Family caregivers, who also play an important role in this decision-making process, may have different care goals. Some research suggests that caregivers tend to prioritize treatments that could extend life, whereas patients prioritize symptom management, but it’s less clear how these priorities may change over time and how patients and caregivers may influence each other.

In the current study, the researchers examined goals of care among patients with stage IV solid tumors and caregivers during the last 2 years of life, focusing on life extension vs symptom management and cost containment, as well as how these goals changed over time.

The survey included 210 patient-caregiver pairs, recruited from outpatient clinics at two major cancer centers in Singapore. Patients had a mean age of 63 years, and about half were men. The caregivers had a mean age of 49 years, and almost two third (63%) were women.

Overall, 34% patients and 29% caregivers prioritized symptom management over life extension, whereas 24% patients and 19% caregivers prioritized life extension. Most patients and caregivers preferred balancing the two, with 34%-47% patients and 37%-69% caregivers supporting this approach.

When balancing cost and treatment decisions, however, patients were more likely to prioritize containing costs — 28% vs 17% for caregivers — over extending life — 26% of patients vs 35% of caregivers.

Cost containment tended to be more of a priority for older patients, those with a higher symptom burden, and those with less family caregiver support. For caregivers, cost containment was more of a priority for those who reported that caregiving had a big impact on their finances, those with worse self-esteem related to their caregiving abilities, as well as those caring for older patients.

To better align cost containment priorities between patients and caregivers, it’s essential for families to engage in open and thorough discussions about the allocation of resources, Dr. Ozdemir said.

Although “patients, families, and physicians often avoid discussions about prognosis,” such conversations are essential for setting realistic expectations for care and adequately preparing for end-of-life decisions, Dr. Ozdemir told this news organization.

“These conversations should aim to balance competing interests and create care plans that are mutually acceptable to both patients and caregivers,” she said, adding that “this approach will help in minimizing any potential conflicts and ensure that both parties feel respected and understood in their decision-making process.”

Managing Unrealistic Expectations

As patients approached the end of life, neither patients nor caregivers shifted their priorities from life extension to symptom management.

This finding raises concerns because it suggests that many patients hold unrealistic expectations regarding their care and “underscores the need for continuous dialogue and reassessment of care goals throughout the progression of illness,” Dr. Ozdemir said.

“This stability in preferences over time suggests that initial care decisions are deeply ingrained or that there may be a lack of ongoing communication about evolving care needs and possibilities as conditions change,” Ozdemir said.

Yet, it can be hard to define what unrealistic expectations mean, said Olivia Seecof, MD, who wasn’t involved in the study.

“I think people are hopeful that a devastating diagnosis won’t lead to the end of their life and that there will be a treatment or something that will change [their prognosis], and they’ll get better,” said Dr. Seecof, palliative care expert with the Supportive Oncology Program at NYU Langone Health’s Perlmutter Cancer Center in New York City.

Giving patients and caregivers a realistic understanding of the prognosis is important, but “there’s more to it than just telling the patient their diagnosis,” she said.

“We have to plan for end of life, what it can look like,” said Dr. Seecof, adding that “often we don’t do a very good job of talking about that early on in an illness course.”

Overall, though, Dr. Seecof stressed that no two patients or situations are the same, and it’s important to understand what’s important in each scenario. End-of-life care requires “an individual approach because every patient is different, even if they have the same diagnosis as someone else,” she said.

This work was supported by funding from the Singapore Millennium Foundation and the Lien Centre for Palliative Care. Dr. Ozdemir and Dr. Seecof had no relevant disclosures.

A version of this article appeared on Medscape.com.

What’s most important to patients with terminal cancer and their caregivers?

New research found that patients and caregivers both tend to prioritize symptom control over life extension but often preferring a balance. Patients and caregivers, however, are less aligned on decisions about cost containment, with patients more likely to prioritize cost containment.

“Our research has revealed that patients and caregivers generally share similar end-of-life goals,” with a “notable exception” when it comes to costs, first author Semra Ozdemir, PhD, with the Lien Centre for Palliative Care, Duke-NUS Medical School, Singapore, told this news organization.

However, when patients and caregivers have a better understanding of the patient’s prognosis, both may be more inclined to avoid costly life-extending treatments and prioritize symptom management.

In other words, the survey suggests that “knowing the prognosis helps patients and their families set realistic expectations for care and adequately prepare for end-of-life decisions,” said Dr. Ozdemir.

This study was published online in JAMA Network Open.

Patients with advanced cancer often face difficult decisions: Do they opt for treatments that may — or may not — extend life or do they focus more on symptom control?

Family caregivers, who also play an important role in this decision-making process, may have different care goals. Some research suggests that caregivers tend to prioritize treatments that could extend life, whereas patients prioritize symptom management, but it’s less clear how these priorities may change over time and how patients and caregivers may influence each other.

In the current study, the researchers examined goals of care among patients with stage IV solid tumors and caregivers during the last 2 years of life, focusing on life extension vs symptom management and cost containment, as well as how these goals changed over time.

The survey included 210 patient-caregiver pairs, recruited from outpatient clinics at two major cancer centers in Singapore. Patients had a mean age of 63 years, and about half were men. The caregivers had a mean age of 49 years, and almost two third (63%) were women.

Overall, 34% patients and 29% caregivers prioritized symptom management over life extension, whereas 24% patients and 19% caregivers prioritized life extension. Most patients and caregivers preferred balancing the two, with 34%-47% patients and 37%-69% caregivers supporting this approach.

When balancing cost and treatment decisions, however, patients were more likely to prioritize containing costs — 28% vs 17% for caregivers — over extending life — 26% of patients vs 35% of caregivers.

Cost containment tended to be more of a priority for older patients, those with a higher symptom burden, and those with less family caregiver support. For caregivers, cost containment was more of a priority for those who reported that caregiving had a big impact on their finances, those with worse self-esteem related to their caregiving abilities, as well as those caring for older patients.

To better align cost containment priorities between patients and caregivers, it’s essential for families to engage in open and thorough discussions about the allocation of resources, Dr. Ozdemir said.

Although “patients, families, and physicians often avoid discussions about prognosis,” such conversations are essential for setting realistic expectations for care and adequately preparing for end-of-life decisions, Dr. Ozdemir told this news organization.

“These conversations should aim to balance competing interests and create care plans that are mutually acceptable to both patients and caregivers,” she said, adding that “this approach will help in minimizing any potential conflicts and ensure that both parties feel respected and understood in their decision-making process.”

Managing Unrealistic Expectations

As patients approached the end of life, neither patients nor caregivers shifted their priorities from life extension to symptom management.

This finding raises concerns because it suggests that many patients hold unrealistic expectations regarding their care and “underscores the need for continuous dialogue and reassessment of care goals throughout the progression of illness,” Dr. Ozdemir said.

“This stability in preferences over time suggests that initial care decisions are deeply ingrained or that there may be a lack of ongoing communication about evolving care needs and possibilities as conditions change,” Ozdemir said.

Yet, it can be hard to define what unrealistic expectations mean, said Olivia Seecof, MD, who wasn’t involved in the study.

“I think people are hopeful that a devastating diagnosis won’t lead to the end of their life and that there will be a treatment or something that will change [their prognosis], and they’ll get better,” said Dr. Seecof, palliative care expert with the Supportive Oncology Program at NYU Langone Health’s Perlmutter Cancer Center in New York City.

Giving patients and caregivers a realistic understanding of the prognosis is important, but “there’s more to it than just telling the patient their diagnosis,” she said.

“We have to plan for end of life, what it can look like,” said Dr. Seecof, adding that “often we don’t do a very good job of talking about that early on in an illness course.”

Overall, though, Dr. Seecof stressed that no two patients or situations are the same, and it’s important to understand what’s important in each scenario. End-of-life care requires “an individual approach because every patient is different, even if they have the same diagnosis as someone else,” she said.

This work was supported by funding from the Singapore Millennium Foundation and the Lien Centre for Palliative Care. Dr. Ozdemir and Dr. Seecof had no relevant disclosures.

A version of this article appeared on Medscape.com.