Evidence map›Paper›PMID 40778128›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Racial and Ethnic Diversity in Clinical Studies Reported to ClinicalTrials.gov, 2009-2024.

Maryam Aziz, Emily C O'Brien, Jay B Lusk, Sudarshan Krishnamurthy, Vani Garcha, M Alan Brookhart, Robert M Califf, Michael D Green

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. 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

5 · Who and what money

Authors and funding

8 authors.

Maryam AzizDepartment of Population Health Sciences, Duke University School of Medicine, Durham NC, United States of America.ORCID 0000-0002-4445-4181
Emily C O'BrienDepartment of Population Health Sciences, Duke University School of Medicine, Durham NC, United States of America.ORCID 0000-0002-8257-7561
Jay B LuskDepartment of Family Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America.ORCID 0000-0002-5728-8872
Sudarshan KrishnamurthyDepartment of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, United States of America.ORCID 0000-0002-3229-9997
Vani GarchaDepartment of Population Health Sciences, Duke University School of Medicine, Durham NC, United States of America.
M Alan BrookhartDepartment of Population Health Sciences, Duke University School of Medicine, Durham NC, United States of America.ORCID 0000-0003-1572-0564
Robert M CaliffDuke Clinical Research Institute, Durham, NC, United States of America.ORCID 0000-0003-0231-3724
Michael D GreenDepartment of Population Health Sciences, Duke University School of Medicine, Durham NC, United States of America.ORCID 0000-0002-4982-8154

Funding

Assessing the Impact of Patient-Provider Interactions on the Cardiovascular and Cognitive Health of Aging AdultsF99AG088695 · NIA · DUKE UNIVERSITY · PI GREEN, MICHAEL D. · 2024 to 2025
$67k
NIA NIH HHS F99 AG088695
6 · The paper itself

Abstract

Importance: A lack of transparent reporting of race and ethnicity in clinical research limits the ability to identify health inequities and evaluate to what extent clinical research includes diverse populations. Objective: To identify study characteristics associated with reporting race and ethnicity of clinical study participants and to document temporal trends in race and ethnicity reporting on clinicaltrials.gov. Design: Cross-sectional analysis of interventional trials and observational studies from 2009-2024; multivariable logistic regression assessed study-level factors associated with reporting race and ethnicity. Setting: Global registry of clinical studies (clinicaltrials.gov). Participants: 58,163 studies with posted results and without early termination. Exposures: Study characteristics: sponsor trial phase, study type, and country. Main Outcomes and Measures: Reporting of race, reporting of ethnicity, reporting of both. Results: Among 58,163 studies (mean enrollment=1,215 participants), 44.8% did not report race or ethnicity to the repository (mean enrollment=1,481 participants). The proportion of studies reporting both race and ethnicity rose from 7.4% in 2013 to 54.6% in 2024. In multivariable models, observational studies had lower odds of reporting race and ethnicity (odds ratio[OR]=0.55, 95% confidence interval[CI]=0.49-0.61) compared with interventional trials. Phase 4 trials were least likely phase to report race and ethnicity (OR=0.32; CI=0.29-0.35), and studies with only National Institute of Health funding were more likely to report race and ethnicity compared to studies with any industry funding or sponsorship (OR=1.70, CI=1.61-1.79). For studies that reported race, White participants comprised ≥50% each year based on study-level percentages; proportions of Asian participants declined, and Black participants fluctuated. 'Not Hispanic or Latino' remained ≥80% of reported ethnicity annually. Conclusions and Relevance: Race and ethnicity reporting on clinicaltrials.gov has improved markedly yet remains incomplete, with shortfalls in late-phase and observational studies.

Indexed as

Clinical ResearchClinical TrialsDiversityEthnicityRaceRace/EthnicityRecruitmentRepresentation

Identifiers

PMID40778128
PMCPMC12330421

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.