Evidence map›Paper›PMID 42147230›Full record

ArticleFrontiers in oncology2026

Equity and representation in oncology clinical evidence for FDA-approved treatments and the impact of COVID-19.

Hao Cheng, Jun Li, Ningying Mao

Abstract read
In one paragraph

Article in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Hao ChengSchool of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, China.
Jun LiSchool of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, China.
Ningying MaoSchool of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pivotal clinical trials form the evidentiary foundation for FDA oncology drug approvals, yet persistent disparities in participant demographics may limit the generalizability and equity of cancer care. This study aimed to quantify demographic disparities in pivotal trials that supported FDA oncology drug approvals, and to identify trial-level characteristics associated with the underrepresentation of women, racial and ethnic minorities, and older adults. We also assessed the impact of COVID-19 on participant representation. Methods: We systematically identified pivotal trials supporting FDA oncology drug approvals from January 2018 through November 2024 using the FDA Hematology/Oncology Approvals database. Demographic data were extracted for gender, race, ethnicity, and age. SEER 21 data were used to derive population-based estimates. Enrollment incidence ratios (EIRs) were calculated for gender, race, ethnicity, and older adults (EIR <1 indicating underrepresentation). Meta-regression was used to evaluate temporal trends and associations between trial characteristics and representation disparities. Subgroup analyses were conducted for pediatric trials, accelerated approvals, and other trial-level factors. Results: Among 329 included trials enrolling over 164,000 participants, women, older adults, Black, and Hispanic individuals were consistently underrepresented. Pooled EIRs indicated significant underrepresentation of female (EIR, 0.83; 95% CI, 0.78-0.88), Black (EIR, 0.26; 95% CI, 0.22-0.30), Hispanic (EIR, 0.50; 95% CI, 0.44-0.57), and older participants (EIR, 0.86; 95% CI, 0.83-0.89). Meta-regression showed modest gains in female representation over time (β=0.02, p=0.03), but no significant improvement for Black or Hispanic participants. Older adult representation declined slightly. Trial-level factors associated with underrepresentation included industry sponsorship, use of overall survival as the primary endpoint, and accelerated approval designation. Pandemic-period EIRs were largely similar to non-pandemic EIRs, with lower representation for older adults and White participants. Conclusions: Despite recent regulatory efforts, demographic disparities persist in pivotal oncology trials supporting FDA approvals. Female, Black, Hispanic, and older adults remain underrepresented, limiting the applicability of trial findings to real-world cancer populations. Greater efforts are needed to design inclusive trials, enforce diversity mandates, and ensure equitable evidence generation in oncology drug development.

Indexed as

clinical trialsdiversityequityFDA approvalsoncology

Identifiers

PMID42147230
PMCPMC13175864

What OpenQuestion holds

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LicenceCC BY
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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.