Evidence map›Paper›PMID 39949629›Full record

ArticleOrthopaedic journal of sports medicine2025

Racial Concordance Between NBA and MLB Players and Their Team Physicians.

Andrew Gaetano, Krishin Shivdasani, Andrew Chen, Nickolas Garbis, Dane Salazar

Abstract read
In one paragraph

Article in Orthopaedic journal of sports medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

5 authors.

Andrew GaetanoDepartment of Orthopaedic Surgery & Rehabilitation, Loyola Medicine, Maywood, Illinois, USA.ORCID https://orcid.org/0009-0007-0024-0871
Krishin ShivdasaniDepartment of Orthopaedic Surgery & Rehabilitation, Loyola Medicine, Maywood, Illinois, USA.
Andrew ChenDepartment of Orthopaedic Surgery & Rehabilitation, Loyola Medicine, Maywood, Illinois, USA.
Nickolas GarbisDepartment of Orthopaedic Surgery & Rehabilitation, Loyola Medicine, Maywood, Illinois, USA.
Dane SalazarDepartment of Orthopaedic Surgery & Rehabilitation, Loyola Medicine, Maywood, Illinois, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Recent efforts aim to determine whether patient-provider race concordance improves health outcomes for minority patient populations. Patient-physician race discordance is uniquely elevated in professional athletics. Purpose: To evaluate racial concordance between rostered players and their respective team physicians in 2 major professional sports leagues in the United States-the National Basketball Association (NBA) and Major League Baseball (MLB). Study Design: Cross-sectional study. Methods: Publicly available data were collected in June of 2023 to identify NBA and MLB players and team physicians. The sex and reported or perceived race of the players and team physicians were determined by 2 independent observers who analyzed reported demographic data, photographs, and names of these individuals, with disagreements resolved by a third independent observer. Team physicians' medical training, medical specialty, languages spoken, and years in practice were obtained using publicly available internet-based sources or by contacting the clinical staff directly. Results: In both the NBA and the MLB, there was a statistically significant difference in racial composition between players and team physicians ( Conclusion: Substantial race discordance was found between professional athletes and head team physicians. Physicians more closely mirroring the patient populations that we treat-including professional athletes-may positively affect health care relationships and improve patient/provider barriers.

Indexed as

diversityhealth disparitiesprofessional athletesraceteam physicians

Identifiers

PMID39949629
PMCPMC11822814

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.