Effects of Race Are Rarely Included in Clinical Prediction Models for Cardiovascular Disease
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Previous work found race to be included only rarely in cardiovascular disease prediction models, even when it is known to be predictive.
“Previous work found race to be included only rarely in cardiovascular disease prediction models, even when it is known to be predictive30.”
From Predictably unequal: understanding and addressing concerns that algorithmic clinical prediction may increase health disparities (2020) · cites this paper as [30]
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References 6 · Cited by 22
- Authors
- Paulus, J. K., Wessler, B. S., Lundquist, C. M., & Kent, D. M.
- Affiliations
- Tufts University (US)
- Corresponding author
- Paulus, Jessica K.
- Venue
- Journal of General Internal Medicine
- Published
- 2018-05-15
- Volume
- 33
- Issue
- 9
- Pages
- 1429-1430
- ISSN
- 0884-8734 (ISSN-L)
- 1525-1497
- PMC
- PMC6109012
- OpenAlex
- W2808328609
- Cited by
- 22
- References
- 6
- Citations by year
- 2025: 3 · 2024: 2 · 2023: 4 · 2022: 5 · 2021: 3 · 2020: 2 · 2019: 3
- FWCI
- 1.23
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Journal of General Internal Medicine (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- American Heart Association
- Patient-Centered Outcomes Research Institute (ME-1606-35555)
- Tufts Medical Center
- National Institutes of Health
- Tufts University School of Medicine
- National Institute of Neurological Disorders and Stroke (U01NS086294)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Race, Genetics, and Society
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Sex and Gender in Healthcare
- Keywords
- race and ethnicity, cardiovascular disease, clinical prediction model, racial disparities, ethnic minority health, model bias, heart failure, revascularization, acute coronary syndrome, cardiovascular risk prediction, Caucasian patients, Asian patients, Hispanic patients, Native American patients, African American patients
- MeSH terms
- Cardiovascular Diseases, Ethnicity, Humans, Prognosis, Risk Factors, Models, Statistical, Confounding Factors, Epidemiologic, Risk Assessment, Biomedical Research
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