Evidence map›Paper›PMID 41764473›Full record

ArticleInternational journal for equity in health2026

Racial, ethnic, gender and age representation of clinical trials supporting FDA approval of cancer therapies.

Mingye Zhao, Yunlin Jiang, Taihang Shao, Wenxi Tang

Abstract read
In one paragraph

Article in International journal for equity in health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Mingye Zhao *Department of Pharmacoeconomics, School of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, Jiangsu, China.
Yunlin Jiang *Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Taihang ShaoJC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.
Wenxi TangDepartment of Pharmacoeconomics, School of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, Jiangsu, China. tokammy@cpu.edu.cn.

Funding

General Program of National Natural Science Foundation of China 72174207
6 · The paper itself

Abstract

backgroundPivotal clinical trials provide the primary evidence base for US FDA oncology drug approvals; however, persistent demographic imbalances in trial enrollment may compromise generalizability and exacerbate inequities in cancer care. We quantified disparities in the representation of women, racial and ethnic minority groups, and older adults in pivotal trials supporting FDA oncology approvals and evaluated trial-level characteristics associated with underrepresentation.

methodsWe identified pivotal trials underpinning US FDA oncology drug approvals between January 2018 and February 2026 using the FDA Hematology/Oncology Approvals database. Demographic information on sex, race, ethnicity, and age was abstracted from published trial reports and registry entries. For each subgroup, we quantified representativeness using enrollment incidence ratios (EIRs), defined as the ratio of the subgroup’s share in the trial to its share of SEER incidence (EIR < 1 indicating underrepresentation). We pooled log-transformed EIRs with random-effects models and used meta-regression to examine time trends and trial-level factors associated with disparities. We additionally conducted stratified analyses by pediatric status, accelerated approval, and other trial characteristics.

resultsAmong 372 pivotal trials supporting US FDA oncology drug approvals (2018–2026), women, older adults, Black, and Hispanic individuals remained underrepresented relative to US cancer incidence. Pooled EIRs showed underenrollment of women (EIR, 0.92; 95% CI, 0.88–0.95), Black participants (EIR, 0.25; 95% CI, 0.21–0.28), Hispanic participants (EIR, 0.51; 95% CI, 0.45–0.58), and older adults (≥ 65 years) (EIR, 0.67; 95% CI, 0.61–0.73). Meta-regression suggested a modest increase in female representation over time (β = 0.02, p = 0.03), with no significant temporal improvement for Black or Hispanic participants. Older adult representation declined slightly. Trial-level correlates of underrepresentation included industry sponsorship, use of overall survival as the primary endpoint, and accelerated approval designation.

conclusionsDespite recent regulatory initiatives, substantial demographic imbalances persist in pivotal oncology trials supporting FDA approvals. Women, Black and Hispanic individuals, and older adults remain underrepresented, potentially limiting the generalizability of efficacy and safety evidence to real-world cancer populations. Strengthened, accountable approaches—spanning more inclusive eligibility criteria and site selection, targeted recruitment, and enforceable diversity requirements—are needed to ensure equitable evidence generation in oncology drug development.

Indexed as

Antineoplastic AgentsClinical Trials as TopicDrug ApprovalHispanic or LatinoNeoplasmsRacial GroupsAdultAgedAge FactorsFemaleHumansMaleMiddle AgedSex FactorsUnited StatesUnited States Food and Drug AdministrationAntineoplastic AgentsFDA approvalsGender and ageHealth equityOncology clinical trialsRacial and ethnicRepresentation

Identifiers

PMID41764473
PMCPMC13059610

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.