Improving diversity in medical research
Integrity signals
Registry
Cites
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
More generalizable findings apply to more people, making them more valuable for clinicians and policymakers in the real world.
“More generalizable findings apply to more people, making them more valuable for clinicians and policymakers in the real world [2,3].”
From Hasty generalizations and generics in medical research: A systematic review (2024) · cites this paper as [3]
After discovering a causal mechanism, researchers still need to identify conditions that modify its effects, which requires testing for differences in effects between people, calling for more diverse samples than those initially tested.
“after discovering a causal mechanism, researchers still need to identify conditions that modify its effects. This requires testing for differences in effects between people, calling for more diverse samples than those initially tested [3,7].”
From Hasty generalizations and generics in medical research: A systematic review (2024) · cites this paper as [3]
If medical researchers make claims that are broader than warranted by the evidence or that mask variations, and if articles with such claims are impactful and summarized for practitioners without adjustments in generalization scope, this may contribute to regulatory approval or clinical use of treatments that are ineffective or harmful for people.
“If medical researchers make claims that are broader than warranted by the evidence or that mask variations, and if articles with such claims are impactful and summarized for practitioners without adjustments in generalization scope, this may contribute to regulatory approval or clinical use of treatments that are ineffective or harmful for people [3,19].”
From Hasty generalizations and generics in medical research: A systematic review (2024) · cites this paper as [3]
Relevant similarities between populations cannot always be taken as given but may need to be supported through testing of diverse groups or an explicit articulation of background assumptions that warrant generalizations across populations.
“These findings highlight that relevant similarities between the populations cannot always be taken as given but may need to be supported through the testing of diverse groups [3] or an explicit articulation of background assumptions that warrant generalizations across populations.”
From Hasty generalizations and generics in medical research: A systematic review (2024) · cites this paper as [3]
If researchers conclude that a treatment is safe based only on a Western sample and do not consider whether being Western may influence relevant causal mechanisms, clinicians reading the article may come to use unsafe treatments for non-Western individuals.
“If researchers conclude in their articles that a treatment is safe, but they only sampled a Western population and did not consider whether being Western may influence relevant causal mechanisms, clinicians reading the article may come to use unsafe treatments for non-Western individuals, as ethnicity and Western background have been found to affect many clinical outcome measures [3].”
From Hasty generalizations and generics in medical research: A systematic review (2024) · cites this paper as [3]
Since many clinical differences between Western and non-Western populations have been reported, invariance in relevant features across these populations cannot be assumed but should be examined.
“However, since many clinical differences between Western and non-Western populations have been reported, invariance in relevant features across these populations cannot be assumed but should be examined [3,40–42].”
From Hasty generalizations and generics in medical research: A systematic review (2024) · cites this paper as [3]
Cites
George, S., Duran, N., & Norris, K. (2014) · American Journal of Public Health · doi:10.2105/ajph.2013.301706 · Cited by 1,603 · see citing works
BMI Cut Points to Identify At-Risk Asian Americans for Type 2 Diabetes Screening
Hsu, W. C., Araneta, M. R. G., Kanaya, A. M., Chiang, J. L., & Fujimoto, W. (2015) · Diabetes Care · doi:10.2337/dc14-2391 · Cited by 500 · see citing works
Levy, E., Piedbois, P., Buyse, M. E., Pignon, J., Rougier, P. R., RYAN, L. M., Hansen, R., Zee, B. C.-Y., Weinerman, B., Pater, J., et al. (1998) · Journal of Clinical Oncology · doi:10.1200/jco.1998.16.11.3537 · Cited by 495 · see citing works
Landgren, O., Gridley, G., Turesson, I., et al. (2005) · Blood · doi:10.1182/blood-2005-08-3449 · Cited by 333 · see citing works
Holmes, L., Enwere, M., Williams, J., Ogundele, B., Chavan, P. P., Picolli, T., Chinaka, C., Comeaux, C. R., Pelaez, L., Okundaye, O., et al. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17124322 · Cited by 180 · see citing works
McCollum, A. D. (2002) · CancerSpectrum Knowledge Environment · doi:10.1093/jnci/94.15.1160 · Cited by 146 · see citing works
Gender and Ethnic Diversity in NIMH-funded Clinical Trials: Review of a Decade of Published Research
Mak, W. W. S., Law, R. W., Alvidrez, J., & Pérez‐Stable, E. J. (2007) · Administration and Policy in Mental Health and Mental Health Services Research · doi:10.1007/s10488-007-0133-z · Cited by 98 · see citing works
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Hasty generalizations and generics in medical research: A systematic review
Peters, U., Sherling, H. R., & Chin-Yee, B. (2024) · PLOS ONE · doi:10.1371/journal.pone.0306749 · Cited by 11 · see citing works
- Authors
- Sharma, A., & Palaniappan, L.
- Affiliations
- Stanford Medicine (US)
- Corresponding author
- Palaniappan, Latha
- Venue
- Nature Reviews Disease Primers
- Published
- 2021-10-14
- Volume
- 7
- Issue
- 1
- Pages
- 74-74
- ISSN
- 2056-676X (ISSN-L)
- OpenAlex
- W3207003603
- Cited by
- 107
- References
- 7
- Citations by year
- 2026: 6 · 2025: 18 · 2024: 32 · 2023: 35 · 2022: 15 · 2012: 1
- FWCI
- 17.83
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Nature Reviews Disease Primers (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Ethics in Clinical Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Race, Genetics, and Society
- Social Sciences › Gender Studies › Diversity and Career in Medicine
- Keywords
- diversity in clinical trials, underrepresented groups, barriers to clinical trial participation, population representation, health disparities, social equity, clinical trial recruitment, research inclusion
- MeSH terms
- Humans, Biomedical Research
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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