Evidence map›Paper›PMID 36186614›Full record

ArticleHealth equity2022

Analysis of Physician Compensation Studies by Gender, Race, and Ethnicity.

Allison R Larson, Meridith J Englander, Quentin R Youmans, Monica Verduzco-Gutierrez, Fatima Cody Stanford, Sheritta A Strong, Howard Y Liu, Julie K Silver

Abstract read
In one paragraph

Article in Health equity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

8 authors.

Allison R LarsonDepartment of Dermatology, Georgetown University Medical Center and MedStar Health, Washington, DC, USA.ORCID https://orcid.org/0000-0001-8534-7078
Meridith J EnglanderDepartment of Radiology, Albany Medical College, Albany, New York, USA.
Quentin R YoumansDivision of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Monica Verduzco-GutierrezDepartment of Rehabilitation Medicine, Joe R. and Teresa Lozano Long School of Medicine at UT San Antonio, San Antonio, Texas, USA.
Fatima Cody StanfordMassachusetts General Hospital, MGH Weight Center, Department of Medicine-Division of Endocrinology-Neuroendocrine, Department of Pediatrics-Division of Endocrinology, Nutrition Obesity Research Center at Harvard (NORCH), Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0003-4616-533X
Sheritta A StrongDepartment of Psychiatry, University of Nebraska Medical Center, Omaha, Nebraska, USA.
Howard Y LiuDepartment of Psychiatry, University of Nebraska Medical Center, Omaha, Nebraska, USA.
Julie K SilverDepartment of Physical Medicine and Rehabilitation, Harvard Medical School, Massachusetts General Hospital, Spaulding Rehabilitation Hospital, Brigham and Women's Hospital, Boston, Massachusetts, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This report investigated physician compensation studies by gender, race, and ethnicity. Methods: Published U.S. physician compensation studies were assessed. Results: Of the 47 data sets within 46 studies, 36 analyzed compensation by gender and 32 (88.9%) found disparities. Thirteen and eight analyzed for race and ethnicity, with disparities found in four (30.8%) and none, respectively. The sample sizes of the four data sets with differences by race were among the largest in the subset. Conclusion: Most studies demonstrate pay disparities for women, but not for people who identify with underrepresented race/ethnic groups; however, small sample sizes may affect results.

Indexed as

ethnicitygenderphysician compensationphysician salary

Identifiers

PMID36186614
PMCPMC9518798

What OpenQuestion holds

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Registered trials

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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.