Evidence map›Paper›PMID 32853499›Full record

ArticleThe New England journal of medicine2020

Hidden in Plain Sight - Reconsidering the Use of Race Correction in Clinical Algorithms.

Darshali A Vyas, Leo G Eisenstein, David S Jones

Abstract read
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In one paragraph

Article in The New England journal of medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 810 papers.

0numbers the graph read from it
0cells of the map it votes in
810citing 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

810 citing papers in PubMed.

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  17. Performance of Statistical and Machine Learning Risk Prediction Models for Advanced Breast Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
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750 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Darshali A VyasFrom the Department of Medicine, Massachusetts General Hospital (D.A.V.), and the Department of Global Health and Social Medicine, Harvard Medical School (D.S.J.) - both in Boston, the Department of the History of Science, Harvard University, Cambridge, MA (D.S.J.), and the Department of Medicine, NYU Langone Medical Center, New York (L.G.E.).ORCID 0000-0002-3709-8078
Leo G EisensteinFrom the Department of Medicine, Massachusetts General Hospital (D.A.V.), and the Department of Global Health and Social Medicine, Harvard Medical School (D.S.J.) - both in Boston, the Department of the History of Science, Harvard University, Cambridge, MA (D.S.J.), and the Department of Medicine, NYU Langone Medical Center, New York (L.G.E.).ORCID 0000-0003-4714-6990
David S JonesFrom the Department of Medicine, Massachusetts General Hospital (D.A.V.), and the Department of Global Health and Social Medicine, Harvard Medical School (D.S.J.) - both in Boston, the Department of the History of Science, Harvard University, Cambridge, MA (D.S.J.), and the Department of Medicine, NYU Langone Medical Center, New York (L.G.E.).ORCID 0000-0003-0039-7784

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

AlgorithmsRacial GroupsCardiologyFemaleHealthcare DisparitiesHumansMaleNephrologyObstetricsRisk AssessmentUrology

Identifiers

PMID32853499

What OpenQuestion holds

Textmetadata
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.