ArticleContemporary clinical trials communications2021
Sociodemographic diversity in cancer clinical trials: New findings on the effect of race and ethnicity.
Article in Contemporary clinical trials communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled 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.
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
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.
- Effects of socioeconomic status on enrollment in clinical trials for cancer: A systematic review.Cancer medicine · 2024Pooled it
- Relationship Between Social Vulnerability Indicators and Trial Participant Attrition: Findings From the HYVALUE Trial.Circulation. Cardiovascular quality and outcomes · 2022Trial
- Diversity and inclusivity in oncology: A narrative review and orientation for institutional measures in Germany.Translational oncology · 2025Review
- Gender, race, and ethnicity in lung cancer clinical trial participation: Analysis of 253,845 patients from 2002 to 2021.The Journal of thoracic and cardiovascular surgery · 2025Article
- Promoting Racial Justice in Cancer Clinical Trials: Community Engaged Solutions for Bridging Gaps.Cancer medicine · 2025Article
- The relationship between trust in federal oversight of vaccine safety and willingness to participate in COVID-19 clinical trials: a repeated measures study of Philadelphia residents (September 2021 - March 2023).BMC public health · 2024Article
- Equitable inclusion of diverse populations in oncology clinical trials: deterrents and drivers.ESMO open · 2024Review
- Navigating the Complexities of Artificial Intelligence-Enabled Real-World Data Collection for Oncology Pharmacovigilance.JCO clinical cancer informatics · 2024Article
- A proposed multi-domain, digital model for capturing functional status and health-related quality of life in oncology.Clinical and translational science · 2024Review
- Evolving a national clinical trials learning health system.Learning health systems · 2023Article
- Boosting and broadening recruitment to UK cancer trials: towards a blueprint for action.BMJ oncology · 2023Review
- Closing the gaps in recruitment and retention in cancer trials: sufficient evidence but poor implementation.BMJ oncology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCancer clinical trials (CCT) offer significant potential benefit, not only for future patients but also for enrolled participants, yet a very small minority of cancer patients participate, resulting in low levels of enrollment that have stalled clinical trials dramatically. Though many have endeavored to study this phenomenon, relatively little research has explored the demographic factors which may affect CCT enrollment. Understanding patient demographics is critical to optimizing enrollment, evaluating generalizability, and ensuring equity of CCT.
methodsTo better understand the effect of social determinants of health on CCT enrollment, the authors constructed a multivariable logistic regression model to analyze data collected in the last ten years in the CDC Behavioral Risk Factor Surveillance System (BRFSS) Survey, an annual national survey conducted among the non-institutionalized adult population of the U.S.
resultsIn multivariable regression analysis, enrollment varied significantly with sociodemographic factors. Individuals of higher income, Hispanic ethnicity, and younger age were most likely to participate in CCTs. Enrollment did not vary significantly by educational attainment.
conclusionOur multivariable analysis indicated people of color are more likely to participate in CCT, perhaps demonstrating that structural barriers shape participation more than race alone. Efforts to improve CCT enrollment may benefit from a shift in focus towards access to care by alleviating structural and financial barriers to enrollment.
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Registered trials
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.