SynthesisScientific reports2023
Demographic recruitment bias of adults in United States randomized clinical trials by disease categories between 2008 to 2019: a systematic review and meta-analysis.
Synthesis in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 3 of them syntheses that pooled it.
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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.
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.
Who cites it
29 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Real-world effectiveness and safety of difelikefalin for chronic kidney disease-associated pruritus: a systematic review.Renal failure · 2026Pooled it
- Racial and Ethnic Diversity in Clinical Trials for Disease Modifying Drugs in Parkinson Disease: A Systematic Review & Meta-Analysis.Movement disorders clinical practice · 2026Pooled it
- Recruitment, retention and reporting of variables related to ethnic diversity in randomised controlled trials: an umbrella review.BMJ open · 2024Pooled it
- Trial
- Trial
- Brief Report: Associations Between Gender and Solicited Adverse Events After Passive Infusion of VRC01 or Placebo in HVTN 704/HPTN 085.Journal of acquired immune deficiency syndromes (1999) · 2025Trial
- Identifying caregiver-reported modifiable barriers to pediatric oncology clinical trial enrollment and participation.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Gender-related facilitators and barriers to participation in research on aging using fuzzy cognitive mapping.Neurobiology of aging · 2026Article
- Racial and ethnic diversity in clinical studies reported to ClinicalTrials.gov, 2009-2024.BMJ open quality · 2026Article
- From neuroinflammation to neural inference: computational psychiatry meets precision medicine.Schizophrenia (Heidelberg, Germany) · 2026Review
- Article
- Article
- Off-label in-silico flow diverter performance assessment in posterior communicating artery aneurysms.Journal of neurointerventional surgery · 2025Article
- Representation is power: traditional, hybrid, and digital recruitment results from a non-randomized clinical trial engaging adolescents.NPJ digital medicine · 2025Article
- Response to Electronic Health Record Patient Portal-Based Clinical Study Invitations.JAMA network open · 2025Article
- Amyloid PET and clinical management in a diverse, cognitively impaired population: The New IDEAS Study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Observational
- Alzheimer disease seen through the lens of sex and gender.Nature reviews. Neurology · 2025Review
- Promoting equitable patient representation in therapeutic clinical trials by accounting for population disease burden.Scientific reports · 2025Article
- Article
- Decentralized subject recruitment for a prospective community surveillance system: The influence of social determinants of health on inclusion of minorities in research.Journal of clinical and translational science · 2025Article
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9 authors.
Funding
Abstract
To promote health equity within the United States (US), randomized clinical trials should strive for unbiased representation. Thus, there is impetus to identify demographic disparities overall and by disease category in US clinical trial recruitment, by trial phase, level of masking, and multi-center status, relative to national demographics. A systematic review and meta-analysis were conducted using MEDLINE, Embase, CENTRAL, and ClinicalTrials.gov, between 01/01/2008 to 12/30/2019. Clinical trials (N = 5,388) were identified based on the following inclusion criteria: study type, location, phase, and participant age. Each clinical trial was independently screened by two researchers. Data was pooled using a random-effects model. Median proportions for gender, race, and ethnicity of each trial were compared to the 2010 US Census proportions, matched by age. A second analysis was performed comparing gender, race, and ethnicity proportions by trial phase, multi-institutional status, quality, masking, and study start year. 2977 trials met inclusion criteria (participants, n = 607,181) for data extraction. 36% of trials reported ethnicity and 53% reported race. Three trials (0.10%) included transgender participants (n = 5). Compared with 2010 US Census data, females (48.3%, 95% CI 47.2-49.3, p < 0.0001), Hispanics (11.6%, 95% CI 10.8-12.4, p < 0.0001), American Indians and Alaskan Natives (AIAN, 0.19%, 95% CI 0.15-0.23, p < 0.0001), Asians (1.27%, 95% CI 1.13-1.42, p < 0.0001), Whites (77.6%, 95% CI 76.4-78.8, p < 0.0001), and multiracial participants (0.25%, 95% CI 0.21-0.31, p < 0.0001) were under-represented, while Native Hawaiians and Pacific Islanders (0.76%, 95% CI 0.71-0.82, p < 0.0001) and Blacks (17.0%, 95% CI 15.9-18.1, p < 0.0001) were over-represented. Inequitable representation was mirrored in analysis by phase, institutional status, quality assessment, and level of masking. Between 2008 to 2019 representation improved for only females and Hispanics. Analysis stratified by 44 disease categories (i.e., psychiatric, obstetric, neurological, etc.) exhibited significant yet varied disparities, with Asians, AIAN, and multiracial individuals the most under-represented. These results demonstrate disparities in US randomized clinical trial recruitment between 2008 to 2019, with the reporting of demographic data and representation of most minorities not having improved over time.
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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.