Evidence map›Paper›PMID 37607231›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Using measures of race to make clinical predictions: Decision making, patient health, and fairness.

Charles F Manski, John Mullahy, Atheendar S Venkataramani

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. What is the general Welfare: Welfare economic perspectives on equity.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. AMPREDICT Mobility-4: A Novel Four Category Mobility Outcome Prediction Model for Patients Undergoing Vascular Amputation.European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery · 2025
    Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Clinical decisions, patient race, and flawed data.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  16. Review
  17. Medical Artificial Intelligence and Human Values.The New England journal of medicine · 2024
    Review
  18. Article
  19. REPRESENTATION AND EXTRAPOLATION: EVIDENCE FROM CLINICAL TRIALSThe quarterly journal of economics · 2024
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Charles F ManskiDepartment of Economics, Northwestern University, Evanston, IL 60208.ORCID 0000-0001-7260-7686
John MullahyDepartment of Population Health Sciences, University of Wisconsin-Madison, Madison, WI 53726.
Atheendar S VenkataramaniDepartment of Medical Ethics & Health Policy, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0002-7612-8903

Funding

Sci-Tech Core-Population Dynamics Research CenterP2CHD044964 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI EMILIO ALBERTO PARRADO · 2018 to 2026
$5.3M
NICHD NIH HHS P2C HD044964
6 · The paper itself

Abstract

The use of race measures in clinical prediction models is contentious. We seek to inform the discourse by evaluating the inclusion of race in probabilistic predictions of illness that support clinical decision making. Adopting a static utilitarian framework to formalize social welfare, we show that patients of all races benefit when clinical decisions are jointly guided by patient race and other observable covariates. Similar conclusions emerge when the model is extended to a two-period setting where prevention activities target systemic drivers of disease. We also discuss non-utilitarian concepts that have been proposed to guide allocation of health care resources.

Indexed as

Clinical Decision-MakingPatientsDecision MakingHumansclinical predictionpatient careraceutilitarian welfare analysis

Identifiers

PMID37607231
PMCPMC10469015

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.