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Disparity of Race Reporting and Representation in Clinical Trials Leading to Cancer Drug Approvals From 2008 to 2018
Open accessAbstract
IMPORTANCE: Representative racial/ethnic participation in research, especially in clinical trials that establish standards of care, is necessary to minimize disparities in outcomes and to uphold societal equity in health care. OBJECTIVE: To evaluate the frequency of race reporting and proportional race representation in trials supporting US Food and Drug Administration (FDA) oncology drug approvals. DESIGN, SETTING, AND PARTICIPANTS: Database study of all reported trials supporting FDA oncology drug approvals granted between July 2008 and June 2018. Primary reports of trials were obtained from PubMed and ClinicalTrials.gov. Food and Drug Administration approvals were identified using the FDA archives. The US population-based cancer estimates by race were calculated using National Cancer Institute-Surveillance, Epidemiology, and End Results and US Census databases. MAIN OUTCOMES AND MEASURES: Primary outcomes were the proportion of trials reporting race and the proportion of patients by race participating in trials. Secondary outcomes included race subgroup analyses reporting and gaps between race proportion in trials and the US population. Descriptive statistics, Fisher exact, and χ2 tests were used to analyze the data. Proportions and odds ratios (OR) with 95% CIs were reported. RESULTS: Among 230 trials with a total of 112 293 participants, 145 (63.0%) reported on at least 1 race, 18 (7.8%) documented the 4 major races in the United States (white, Asian, black, and Hispanic), and 58 (25.2%) reported race subgroup analyses. Reporting on white, Asian, black, and Hispanic races was included in 144 (62.6%), 110 (47.8%), 88 (38.2%), and 23 (10.0%) trials, respectively. Between July 2008 and June 2013 vs July 2013 and June 2018, the number of trials reporting race (45 [56.6%] vs 100 [67.1%]; OR, 1.63; 95% CI, 0.93-2.87; P = .09) and race subgroup analysis (13 [16.1%] vs 45 [30.2%]; OR, 2.26, 95% CI, 1.16-4.67; P = .03) changed minimally and varied across races. Whites, Asians, blacks, and Hispanics represented 76.3%, 18.3%, 3.1% and 6.1% of trial participants, respectively, and the proportion for each race enrolled over time changed nominally (blacks, 3.6% vs 2.9% and Hispanics, 5.3% vs 6.7%) from July 2008 to June 2013 vs July 2013 to June 2018. Compared with their proportion of US cancer incidence, blacks (22% of expected) and Hispanics (44% of expected) were underrepresented compared with whites (98% of expected) and Asians (438% of expected). CONCLUSIONS AND RELEVANCE: Race and race subgroup analysis reporting occurs infrequently, and black and Hispanic races are consistently underrepresented compared with their burden of cancer incidence in landmark trials that led to FDA oncology drug approvals. Enhanced minority engagement is needed in trials to ensure the validity of results and reliable benefits to all.
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“In addition, geographic, sociocultural and economic disparities in access to enrollment, have led to a remarkable underrepresentation of several groups in these studies.”
From Multimodal biomedical AI (2022) · cites this paper as [32]
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“Among these, only 3.1 and 6.1% of trial participants identified as Black and Hispanic, respectively.”
From Enablers and barriers of clinical trial participation in adult patients from minority ethnic groups: a systematic review (2025) · cites this paper as [18]
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“A 2019 review revealed that of the cancer therapies approved by the US Food and Drug Administration (FDA) between 2008 and 2018, only 63% of the relevant trials reported race-related data [18].”
From Enablers and barriers of clinical trial participation in adult patients from minority ethnic groups: a systematic review (2025) · cites this paper as [18]
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“This limits the generalizability of results and leads to a scenario whereby widespread underrepresentation in biomedical research further perpetuates existing disparities 32 .”
From Multimodal biomedical AI (2022) · cites this paper as [32]
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Citations
Cites
Unequal treatment: confronting racial and ethnic disparities in health care
(2003) · Choice Reviews Online · doi:10.5860/choice.40-5843 · Cited by 7,043
A New Initiative on Precision Medicine
Collins, F. S., & Varmus, H. (2015) · New England Journal of Medicine · doi:10.1056/nejmp1500523 · Cited by 5,202
Capps, L. (2003) · JAMA · doi:10.1001/jama.290.18.2487-b · Cited by 4,558
Approximate is Better than “Exact” for Interval Estimation of Binomial Proportions
Agresti, A., & Coull, B. A. (1998) · The American Statistician · doi:10.1080/00031305.1998.10480550 · Cited by 3,223
Participation in Cancer Clinical Trials: Race-, Sex-, and Age-Based Disparities
Murthy, V. H., Krumholz, H. M., & Gross, C. P. (2004) · JAMA · doi:10.1001/jama.291.22.2720 · Cited by 2,078
Palandri, F., Breccia, M., Bonifacio, M., Polverelli, N., Elli, E. M., Benevolo, G., Tiribelli, M., Abruzzese, E., Iurlo, A., Heidel, F. H., et al. (2006) · Cancer · doi:10.1002/(issn)1097-0142 · Cited by 1,477
Statistics in Medicine — Reporting of Subgroup Analyses in Clinical Trials
Wang, R., Lagakos, S. W., Ware, J. H., Hunter, D. J., & Drazen, J. M. (2007) · New England Journal of Medicine · doi:10.1056/nejmsr077003 · Cited by 1,445
Barriers to recruiting underrepresented populations to cancer clinical trials: a systematic review
Ford, J. G., Howerton, M. W., Lai, G. Y., Gary, T. L., Bolen, S., Gibbons, M. C., Tilburt, J., Baffi, C., Tanpitukpongse, T. P., Wilson, R. F., et al. (2008) · Cancer · doi:10.1002/cncr.23157 · Cited by 1,083
Racial and Ethnic Disparities in the Receipt of Cancer Treatment
Shavers, V. L. (2002) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/94.5.334 · Cited by 953
(2020) · OncoTargets and Therapy · doi:10.2147/ott · Cited by 787
The Role of Clinical Trial Participation in Cancer Research: Barriers, Evidence, and Strategies
Unger, J. M., Cook, E., Tai, E., & Bleyer, A. (2016) · American Society of Clinical Oncology Educational Book · doi:10.1200/edbk_156686 · Cited by 665
Self-citationSateren, W. B., Trimble, E. L., Abrams, J. S., Brawley, O. W., Breen, N., Ford, L. G., McCabe, M. S., Kaplan, R. S., Smith, M. A., Ungerleider, R. S., et al. (2002) · Journal of Clinical Oncology · doi:10.1200/jco.2002.08.056 · Cited by 534
Chen, M. S., Lara, P. N., Dang, J. H. T., Paterniti, D. A., & Kelly, K. L. (2014) · Cancer · doi:10.1002/cncr.28575 · Cited by 477
Albain, K. S., Unger, J. M., Crowley, J. J., Coltman, C. A., & Hershman, D. L. (2009) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djp175 · Cited by 458
Self-citationThe Role of Clinical Trial Participation in Cancer Research: Barriers, Evidence, and Strategies
Unger, J. M., Cook, E. D., Tai, E. W., et al. (2016) · American Society of Clinical Oncology Educational Book · doi:10.14694/edbk_156686 · Cited by 382
Self-citationInstitute of Medicine (1999) · National Academies Press eBooks · doi:10.17226/6377 · Cited by 378
Disparities by Race, Age, and Sex in the Improvement of Survival for Major Cancers
Zeng, C., Wen, W., Morgans, A. K., Pao, W. J., Shu, X., & Zheng, W. (2015) · JAMA Oncology · doi:10.1001/jamaoncol.2014.161 · Cited by 321
Freedman, L. S., Simon, R. M., Foulkes, M. A., Friedman, L., Geller, N. L., Gordon, D. J., & Mowery, R. L. (1995) · Controlled Clinical Trials · doi:10.1016/0197-2456(95)00048-8 · Cited by 315
Patient Income Level and Cancer Clinical Trial Participation
Unger, J. M., Hershman, D. L., Albain, K. S., Moinpour, C. M., Petersen, J. A., Burg, K., & Crowley, J. J. (2013) · Journal of Clinical Oncology · doi:10.1200/jco.2012.45.4553 · Cited by 295
Self-citationKeenan, T. E., Moy, B., Mroz, E. A., Ross, K. N., Niemierko, A., Rocco, J. W., Isakoff, S. J., Ellisen, L. W., & Bardia, A. (2015) · Journal of Clinical Oncology · doi:10.1200/jco.2015.62.2126 · Cited by 240
The Tuskegee Study of Untreated Syphilis
ROCKWELL, D. H. (1964) · Archives of Internal Medicine · doi:10.1001/archinte.1964.03860120104011 · Cited by 210
Patient Income Level and Cancer Clinical Trial Participation
Unger, J. M., Gralow, J. R., Albain, K. S., Ramsey, S. D., & Hershman, D. L. (2015) · JAMA Oncology · doi:10.1001/jamaoncol.2015.3924 · Cited by 206
Self-citationTransportation as a barrier to cancer treatment.
Guidry, J. J., Aday, L. A., Zhang, D., & Winn, R. (1997) · PubMed · Cited by 199
Population-based differences in treatment outcome following anticancer drug therapies
Ma, B. B. Y., Hui, E. P., & Mok, T. S. K. (2010) · The Lancet Oncology · doi:10.1016/s1470-2045(09)70160-3 · Cited by 136
Prostate Cancer–Specific Mortality Across Gleason Scores in Black vs Nonblack Men
Mahal, B. A. V., Berman, R. A., Taplin, M., & Huang, F. W. (2018) · JAMA · doi:10.1001/jama.2018.11716 · Cited by 129
Pang, H., Wang, X., Stinchcombe, T. E., Wong, M. L., Cheng, P., Ganti, A. K., Sargent, D. J., Zhang, Y., Hu, C., Mandrekar, S. J., et al. (2016) · Journal of Clinical Oncology · doi:10.1200/jco.2016.67.7088 · Cited by 118
Transportation to Clinic: Findings from a Pilot Clinic-Based Survey of Low-Income Suburbanites
Silver, D. R., Blustein, J., & Weitzman, B. C. (2010) · Journal of Immigrant and Minority Health · doi:10.1007/s10903-010-9410-0 · Cited by 117
Importance of Race/Ethnicity in Clinical Trials
Taylor, A. L., & Wright, J. T. (2005) · Circulation · doi:10.1161/circulationaha.105.540443 · Cited by 78
The Tuskegee study of untreated syphilis.
Rh, K. (1972) · PubMed · Cited by 77
Kobayakawa, M., & Kojima, Y. (2011) · OncoTargets and Therapy · doi:10.2147/ott.s19059 · Cited by 67
Racial and Ethnic Health Disparities and the Affordable Care Act: a Status Update
Sealy-Jefferson, S. M., Vickers, J. K., Elam, A. R., & Wilson, M. R. (2015) · Journal of Racial and Ethnic Health Disparities · doi:10.1007/s40615-015-0113-z · Cited by 55
Cited by
Sorted by citations
Acosta, J. N., Falcone, G. J., Rajpurkar, P., & Topol, E. J. (2022) · Nature Medicine · doi:10.1038/s41591-022-01981-2 · Cited by 1,365
Race/ethnicity reporting and representation in US clinical trials: A cohort study
Turner, B. E., Steinberg, J. R., Weeks, B. T., Rodríguez, F., & Cullen, M. R. (2022) · The Lancet Regional Health - Americas · doi:10.1016/j.lana.2022.100252 · Cited by 402
Unger, J. M., Hershman, D. L., Till, C., Minasian, L. M., Osarogiagbon, R. U., Fleury, M. E., & Vaidya, R. (2020) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djaa155 · Cited by 270
Self-citationFlores, L. E., Frontera, W. R., Andrasik, M. P., del Rı́o, C., González, A. M., Price, S. A., Krantz, E. M., Pergam, S. A., & Silver, J. K. (2021) · JAMA Network Open · doi:10.1001/jamanetworkopen.2020.37640 · Cited by 244
Oyer, R. A., Hurley, P., Boehmer, L., Bruinooge, S. S., Levit, K., Barrett, N. J., Benson, A. B., Bernick, L. A., Byatt, L. P., Charlot, M., et al. (2022) · Journal of Clinical Oncology · doi:10.1200/jco.22.00754 · Cited by 243
Metadata
- Authors
- Loree, J. M., Anand, S., Dasari, A., Unger, J. M., Gothwal, A., Ellis, L. M., Varadhachary, G., Kopetz, S., Overman, M. J., & Raghav, K.
- Affiliations
- BC Cancer Agency (CA)
- The University of Texas MD Anderson Cancer Center (US)
- Fred Hutch Cancer Center (US)
- Baylor University (US)
- Corresponding author
- Raghav, Kanwal
- ORCID
- Venue
- JAMA Oncology
- Publisher
- American Medical Association (AMA)
- Published
- 2019-10-10
- Volume
- 5
- Issue
- 10
- Pages
- e191870
- ISSN
- 2374-2437 (ISSN-L)
- PMC
- PMC6696743
- OpenAlex
- W2969031691
- Semantic Scholar
- 7ef4c8e3b560e1041587d5370115a6db62f37be5
- Cited by
- 570
- References
- 30
- Citations by year
- 2026: 59 · 2025: 67 · 2024: 89 · 2023: 104 · 2022: 120 · 2021: 99 · 2020: 31
- FWCI
- 57.56
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- JAMA Oncology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Cancer Institute (UG1CA189974, P30CA016672)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Ethics in Clinical Research
- Social Sciences › Anthropology › Race, Genetics, and Society
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Keywords
- racial disparities, oncology drug approval, FDA drug approval, cancer clinical trials, health equity, racial disparities in cancer outcomes, racial disparities in cancer survival, racial disparities in cancer incidence, racial disparities in cancer mortality
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