Evidence map›Paper›PMID 36748708›Full record

Trial reportGenetics in medicine : official journal of the American College of Medical Genetics2023

Primary care physician use of patient race and polygenic risk scores in medical decision-making.

Benjamin J Kerman, Charles A Brunette, Elizabeth J Harris, Ashley A Antwi, Amy A Lemke, Jason L Vassy

Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Genetics in medicine : official journal of the American College of Medical Genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 13% of its field
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

9 citing papers in PubMed, 9 citations in OpenAlex.

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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

6 authors at 4 institutions in 1 country.

Benjamin J KermanDivision of General Internal Medicine and Primary Care, Department of Medicine, Brigham and Women's Hospital, Boston, MA; Department of Medicine, Harvard Medical School, Boston, MA.
Charles A BrunetteVeterans Affairs Boston Healthcare System, Boston, MA.
Elizabeth J HarrisDepartment of Medicine, Harvard Medical School, Boston, MA; Veterans Affairs Boston Healthcare System, Boston, MA.
Ashley A AntwiVeterans Affairs Boston Healthcare System, Boston, MA.
Amy A LemkeNorton Children's Research Institute, Affiliated with the University of Louisville School of Medicine, Louisville, KY.
Jason L VassyDivision of General Internal Medicine and Primary Care, Department of Medicine, Brigham and Women's Hospital, Boston, MA; Department of Medicine, Harvard Medical School, Boston, MA; Veterans Affairs Boston Healthcare System, Boston, MA; Precision Population Health, Ariadne Labs, Boston, MA. Electronic address: jvassy@bwh.harvard.edu.
Brigham and Women's Hospital · USVA Boston Healthcare System · USHarvard University · USUniversity of Louisville · US

Funding

Pragmatic randomized trial of polygenic risk scoring for common diseases in primary careR35HG010706 · NHGRI · HARVARD MEDICAL SCHOOL · PI VASSY, JASON L · 2019 to 2024
$2.6M
NHGRI NIH HHS R35 HG010706
6 · The paper itself

Abstract

purposeThe use of patient race in medicine is controversial for its potential either to exacerbate or address health disparities. Polygenic risk scores (PRSs) have emerged as a tool for risk stratification models used in preventive medicine. We examined whether PRS results affect primary care physician (PCP) medical decision-making and whether that effect varies by patient race.

methodsUsing an online survey with a randomized experimental design among PCPs in a national database, we ascertained decision-making around atherosclerotic cardiovascular disease prevention and prostate cancer screening for case scenario patients who were clinically identical except for randomized reported race.

resultsAcross 369 PCPs (email open rate = 10.8%, partial completion rate = 93.7%), recommendations varied with PRS results in expected directions (low-risk results, no available PRS results, and high-risk results). Still, physicians randomized to scenarios with Black patients were more likely to recommend statin therapy than those randomized to scenarios with White patients (odds ratio = 1.74, 95% CI = 1.16-2.59, P = .007) despite otherwise identical clinical profiles and independent of PRS results. Similarly, physicians were more likely to recommend prostate cancer screening for Black patients than for White patients (odds ratio = 1.58, 95% CI = 1.06-2.35, P = .025) despite otherwise identical clinical and genetic profiles.

conclusionDespite advances in precision risk stratification, physicians will likely continue to use patient race implicitly or explicitly in medical decision-making.

Indexed as

Physicians, Primary CareProstatic NeoplasmsClinical Decision-MakingEarly Detection of CancerHumansMaleProstate-Specific AntigenRisk FactorsProstate-Specific AntigenCardiovascular diseaseHealth disparitiesPolygenic risk scoresPreventionProstate cancer

Identifiers

PMID36748708
PMCPMC10085844
OpenAlexW4319166393

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.