Reporting of Study Participant Demographic Characteristics and Demographic Representation in Premarketing and Postmarketing Studies of Novel Cancer Therapeutics
Adequate representation of demographic subgroups in premarketing and postmarketing clinical studies is necessary for understanding the safety and efficacy associated with novel cancer therapeutics. To characterize and compare the reporting of demographic data and the representation of individuals by...
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Published in | JAMA network open Vol. 4; no. 4; p. e217063 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
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American Medical Association
01.04.2021
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Abstract | Adequate representation of demographic subgroups in premarketing and postmarketing clinical studies is necessary for understanding the safety and efficacy associated with novel cancer therapeutics.
To characterize and compare the reporting of demographic data and the representation of individuals by sex, age, and race in premarketing and postmarketing studies used by the Food and Drug Administration (FDA) to evaluate novel cancer therapeutics.
In this cross-sectional study, premarketing and postmarketing studies for novel cancer therapeutics approved by the FDA from 2012 through 2016 were identified. Study demographic information was abstracted from publicly available sources, and US cancer population demographic data was abstracted from US Cancer Statistics. Analyses were conducted from February 25 through September 21, 2020.
The percentages of trials reporting sex, age, and race/ethnicity were calculated, and participation to prevalence ratios (PPRs) were calculated by dividing the percentage of study participants in each demographic group by the percentage of the US cancer population in each group. PPRs were constructed for premarketing and postmarketing studies and by cancer type. Underrepresentation was defined as PPR less than 0.8.
From 2012 through 2016, the FDA approved 45 cancer therapeutics. The study sample included 77 premarketing studies and 56 postmarketing studies. Postmarketing studies, compared with premarketing studies, were less likely to report patient sex (42 studies reporting [75.0%] vs 77 studies reporting [100%]; P < .001) and race (27 studies reporting [48.2%] vs 62 studies reporting [80.5%]; P < .001). Women were adequately represented in premarketing studies (mean [SD] PPR, 0.91; 95% CI, 0.90-0.91) and postmarketing studies (mean PPR, 1.00; 95% CI, 1.00-1.01). Although older adults and Black patients were underrepresented in premarketing studies (older adults: mean PPR, 0.73; 95% CI, 0.72-0.74; Black patients: mean PPR, 0.32; 95% CI, 0.31-0.32), these groups continued to be underrepresented in postmarketing studies (older adults: mean PPR, 0.75; 95% CI, 0.75-0.76; Black patients: mean PPR, 0.21; 95% CI, 0.21-0.21).
This study found that older adults and Black patients were underrepresented in postmarketing studies of novel cancer therapeutics to a similar degree that they were underrepresented in premarketing studies. These findings suggest that postmarketing studies are not associated with improvements to gaps in demographic representation present at the time of FDA approval. |
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AbstractList | Importance Adequate representation of demographic subgroups in premarketing and postmarketing clinical studies is necessary for understanding the safety and efficacy associated with novel cancer therapeutics. Objective To characterize and compare the reporting of demographic data and the representation of individuals by sex, age, and race in premarketing and postmarketing studies used by the Food and Drug Administration (FDA) to evaluate novel cancer therapeutics. Design, Setting, and Participants In this cross-sectional study, premarketing and postmarketing studies for novel cancer therapeutics approved by the FDA from 2012 through 2016 were identified. Study demographic information was abstracted from publicly available sources, and US cancer population demographic data was abstracted from US Cancer Statistics. Analyses were conducted from February 25 through September 21, 2020. Main Outcomes and Measures The percentages of trials reporting sex, age, and race/ethnicity were calculated, and participation to prevalence ratios (PPRs) were calculated by dividing the percentage of study participants in each demographic group by the percentage of the US cancer population in each group. PPRs were constructed for premarketing and postmarketing studies and by cancer type. Underrepresentation was defined as PPR less than 0.8. Results From 2012 through 2016, the FDA approved 45 cancer therapeutics. The study sample included 77 premarketing studies and 56 postmarketing studies. Postmarketing studies, compared with premarketing studies, were less likely to report patient sex (42 studies reporting [75.0%] vs 77 studies reporting [100%];P < .001) and race (27 studies reporting [48.2%] vs 62 studies reporting [80.5%];P < .001). Women were adequately represented in premarketing studies (mean [SD] PPR, 0.91; 95% CI, 0.90-0.91) and postmarketing studies (mean PPR, 1.00; 95% CI, 1.00-1.01). Although older adults and Black patients were underrepresented in premarketing studies (older adults: mean PPR, 0.73; 95% CI, 0.72-0.74; Black patients: mean PPR, 0.32; 95% CI, 0.31-0.32), these groups continued to be underrepresented in postmarketing studies (older adults: mean PPR, 0.75; 95% CI, 0.75-0.76; Black patients: mean PPR, 0.21; 95% CI, 0.21-0.21). Conclusions and Relevance This study found that older adults and Black patients were underrepresented in postmarketing studies of novel cancer therapeutics to a similar degree that they were underrepresented in premarketing studies. These findings suggest that postmarketing studies are not associated with improvements to gaps in demographic representation present at the time of FDA approval. This cross-sectional study investigates demographic data reporting and demographic representation by sex, age, and race/ethnicity in premarketing and postmarketing studies of novel cancer therapeutics. Adequate representation of demographic subgroups in premarketing and postmarketing clinical studies is necessary for understanding the safety and efficacy associated with novel cancer therapeutics.ImportanceAdequate representation of demographic subgroups in premarketing and postmarketing clinical studies is necessary for understanding the safety and efficacy associated with novel cancer therapeutics.To characterize and compare the reporting of demographic data and the representation of individuals by sex, age, and race in premarketing and postmarketing studies used by the Food and Drug Administration (FDA) to evaluate novel cancer therapeutics.ObjectiveTo characterize and compare the reporting of demographic data and the representation of individuals by sex, age, and race in premarketing and postmarketing studies used by the Food and Drug Administration (FDA) to evaluate novel cancer therapeutics.In this cross-sectional study, premarketing and postmarketing studies for novel cancer therapeutics approved by the FDA from 2012 through 2016 were identified. Study demographic information was abstracted from publicly available sources, and US cancer population demographic data was abstracted from US Cancer Statistics. Analyses were conducted from February 25 through September 21, 2020.Design, Setting, and ParticipantsIn this cross-sectional study, premarketing and postmarketing studies for novel cancer therapeutics approved by the FDA from 2012 through 2016 were identified. Study demographic information was abstracted from publicly available sources, and US cancer population demographic data was abstracted from US Cancer Statistics. Analyses were conducted from February 25 through September 21, 2020.The percentages of trials reporting sex, age, and race/ethnicity were calculated, and participation to prevalence ratios (PPRs) were calculated by dividing the percentage of study participants in each demographic group by the percentage of the US cancer population in each group. PPRs were constructed for premarketing and postmarketing studies and by cancer type. Underrepresentation was defined as PPR less than 0.8.Main Outcomes and MeasuresThe percentages of trials reporting sex, age, and race/ethnicity were calculated, and participation to prevalence ratios (PPRs) were calculated by dividing the percentage of study participants in each demographic group by the percentage of the US cancer population in each group. PPRs were constructed for premarketing and postmarketing studies and by cancer type. Underrepresentation was defined as PPR less than 0.8.From 2012 through 2016, the FDA approved 45 cancer therapeutics. The study sample included 77 premarketing studies and 56 postmarketing studies. Postmarketing studies, compared with premarketing studies, were less likely to report patient sex (42 studies reporting [75.0%] vs 77 studies reporting [100%]; P < .001) and race (27 studies reporting [48.2%] vs 62 studies reporting [80.5%]; P < .001). Women were adequately represented in premarketing studies (mean [SD] PPR, 0.91; 95% CI, 0.90-0.91) and postmarketing studies (mean PPR, 1.00; 95% CI, 1.00-1.01). Although older adults and Black patients were underrepresented in premarketing studies (older adults: mean PPR, 0.73; 95% CI, 0.72-0.74; Black patients: mean PPR, 0.32; 95% CI, 0.31-0.32), these groups continued to be underrepresented in postmarketing studies (older adults: mean PPR, 0.75; 95% CI, 0.75-0.76; Black patients: mean PPR, 0.21; 95% CI, 0.21-0.21).ResultsFrom 2012 through 2016, the FDA approved 45 cancer therapeutics. The study sample included 77 premarketing studies and 56 postmarketing studies. Postmarketing studies, compared with premarketing studies, were less likely to report patient sex (42 studies reporting [75.0%] vs 77 studies reporting [100%]; P < .001) and race (27 studies reporting [48.2%] vs 62 studies reporting [80.5%]; P < .001). Women were adequately represented in premarketing studies (mean [SD] PPR, 0.91; 95% CI, 0.90-0.91) and postmarketing studies (mean PPR, 1.00; 95% CI, 1.00-1.01). Although older adults and Black patients were underrepresented in premarketing studies (older adults: mean PPR, 0.73; 95% CI, 0.72-0.74; Black patients: mean PPR, 0.32; 95% CI, 0.31-0.32), these groups continued to be underrepresented in postmarketing studies (older adults: mean PPR, 0.75; 95% CI, 0.75-0.76; Black patients: mean PPR, 0.21; 95% CI, 0.21-0.21).This study found that older adults and Black patients were underrepresented in postmarketing studies of novel cancer therapeutics to a similar degree that they were underrepresented in premarketing studies. These findings suggest that postmarketing studies are not associated with improvements to gaps in demographic representation present at the time of FDA approval.Conclusions and RelevanceThis study found that older adults and Black patients were underrepresented in postmarketing studies of novel cancer therapeutics to a similar degree that they were underrepresented in premarketing studies. These findings suggest that postmarketing studies are not associated with improvements to gaps in demographic representation present at the time of FDA approval. Adequate representation of demographic subgroups in premarketing and postmarketing clinical studies is necessary for understanding the safety and efficacy associated with novel cancer therapeutics. To characterize and compare the reporting of demographic data and the representation of individuals by sex, age, and race in premarketing and postmarketing studies used by the Food and Drug Administration (FDA) to evaluate novel cancer therapeutics. In this cross-sectional study, premarketing and postmarketing studies for novel cancer therapeutics approved by the FDA from 2012 through 2016 were identified. Study demographic information was abstracted from publicly available sources, and US cancer population demographic data was abstracted from US Cancer Statistics. Analyses were conducted from February 25 through September 21, 2020. The percentages of trials reporting sex, age, and race/ethnicity were calculated, and participation to prevalence ratios (PPRs) were calculated by dividing the percentage of study participants in each demographic group by the percentage of the US cancer population in each group. PPRs were constructed for premarketing and postmarketing studies and by cancer type. Underrepresentation was defined as PPR less than 0.8. From 2012 through 2016, the FDA approved 45 cancer therapeutics. The study sample included 77 premarketing studies and 56 postmarketing studies. Postmarketing studies, compared with premarketing studies, were less likely to report patient sex (42 studies reporting [75.0%] vs 77 studies reporting [100%]; P < .001) and race (27 studies reporting [48.2%] vs 62 studies reporting [80.5%]; P < .001). Women were adequately represented in premarketing studies (mean [SD] PPR, 0.91; 95% CI, 0.90-0.91) and postmarketing studies (mean PPR, 1.00; 95% CI, 1.00-1.01). Although older adults and Black patients were underrepresented in premarketing studies (older adults: mean PPR, 0.73; 95% CI, 0.72-0.74; Black patients: mean PPR, 0.32; 95% CI, 0.31-0.32), these groups continued to be underrepresented in postmarketing studies (older adults: mean PPR, 0.75; 95% CI, 0.75-0.76; Black patients: mean PPR, 0.21; 95% CI, 0.21-0.21). This study found that older adults and Black patients were underrepresented in postmarketing studies of novel cancer therapeutics to a similar degree that they were underrepresented in premarketing studies. These findings suggest that postmarketing studies are not associated with improvements to gaps in demographic representation present at the time of FDA approval. |
Author | Wallach, Joshua D. Miller, Jennifer E. Dinan, Michaela A. Ross, Joseph S. Schnabel, Dominic Zhang, Audrey D. Gross, Cary P. Varma, Tanvee Skydel, Joshua J. |
AuthorAffiliation | 6 Tufts University School of Medicine, Boston, Massachusetts 10 Section of General Internal Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut 4 Bioethics International, New York, New York 1 Yale School of Medicine, New Haven, Connecticut 5 Harvard Medical School, Boston, Massachusetts 14 Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut 3 Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut 7 Department of Medicine, Duke University School of Medicine, Durham, North Carolina 8 Department of Population Health Sciences, Duke University, Durham, North Carolina 9 Duke Cancer Institute, Durham, North Carolina 2 Department of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut 13 Cancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center, Yale University, New Haven, Connecticut 11 Department of Health Policy and Management, Yale School of Publ |
AuthorAffiliation_xml | – name: 10 Section of General Internal Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut – name: 12 Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut – name: 14 Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut – name: 4 Bioethics International, New York, New York – name: 5 Harvard Medical School, Boston, Massachusetts – name: 11 Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut – name: 7 Department of Medicine, Duke University School of Medicine, Durham, North Carolina – name: 9 Duke Cancer Institute, Durham, North Carolina – name: 6 Tufts University School of Medicine, Boston, Massachusetts – name: 1 Yale School of Medicine, New Haven, Connecticut – name: 13 Cancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center, Yale University, New Haven, Connecticut – name: 3 Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut – name: 2 Department of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut – name: 8 Department of Population Health Sciences, Duke University, Durham, North Carolina |
Author_xml | – sequence: 1 givenname: Tanvee surname: Varma fullname: Varma, Tanvee organization: Yale School of Medicine, New Haven, Connecticut – sequence: 2 givenname: Joshua D. surname: Wallach fullname: Wallach, Joshua D. organization: Department of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut – sequence: 3 givenname: Jennifer E. surname: Miller fullname: Miller, Jennifer E. organization: Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, Bioethics International, New York, New York – sequence: 4 givenname: Dominic surname: Schnabel fullname: Schnabel, Dominic organization: Harvard Medical School, Boston, Massachusetts – sequence: 5 givenname: Joshua J. surname: Skydel fullname: Skydel, Joshua J. organization: Tufts University School of Medicine, Boston, Massachusetts – sequence: 6 givenname: Audrey D. surname: Zhang fullname: Zhang, Audrey D. organization: Department of Medicine, Duke University School of Medicine, Durham, North Carolina – sequence: 7 givenname: Michaela A. surname: Dinan fullname: Dinan, Michaela A. organization: Department of Population Health Sciences, Duke University, Durham, North Carolina, Duke Cancer Institute, Durham, North Carolina – sequence: 8 givenname: Joseph S. surname: Ross fullname: Ross, Joseph S. organization: Section of General Internal Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut, Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut – sequence: 9 givenname: Cary P. surname: Gross fullname: Gross, Cary P. organization: Section of General Internal Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, Cancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center, Yale University, New Haven, Connecticut, Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33877309$$D View this record in MEDLINE/PubMed |
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Snippet | Adequate representation of demographic subgroups in premarketing and postmarketing clinical studies is necessary for understanding the safety and efficacy... Importance Adequate representation of demographic subgroups in premarketing and postmarketing clinical studies is necessary for understanding the safety and... This cross-sectional study investigates demographic data reporting and demographic representation by sex, age, and race/ethnicity in premarketing and... |
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SubjectTerms | Adult Age Distribution Aged Antineoplastic Agents - therapeutic use Asian - statistics & numerical data Black or African American - statistics & numerical data Cancer Cross-Sectional Studies Drug Evaluation FDA approval Female Health Policy Humans Male Middle Aged Neoplasms - drug therapy Neoplasms - epidemiology Older people Online Only Original Investigation Product Surveillance, Postmarketing Research Subjects - statistics & numerical data Sex Distribution United States - epidemiology United States Food and Drug Administration White People - statistics & numerical data |
Title | Reporting of Study Participant Demographic Characteristics and Demographic Representation in Premarketing and Postmarketing Studies of Novel Cancer Therapeutics |
URI | https://www.ncbi.nlm.nih.gov/pubmed/33877309 https://www.proquest.com/docview/2667850005 https://www.proquest.com/docview/2515688498 https://pubmed.ncbi.nlm.nih.gov/PMC8058642 |
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