Evidence map›Paper›PMID 41684974›Full record

ArticleCureus2026

Diversity Trends in the United States Surgical Society Leadership From 1980 to 2025.

Ashwin Govindan, Ari Ettleson, Justin M Robbins, Peter Ekeh, Anil Hingorani

Abstract read
In one paragraph

Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ashwin GovindanMedical Sciences, Quinnipiac University, Frank H. Netter MD School of Medicine, North Haven, USA.
Ari EttlesonMedicinal Sciences, George Washington University School of Medicine and Health Sciences, Washington, DC, USA.
Justin M RobbinsSurgery, Boonshoft School of Medicine, Wright State University, Dayton, USA.
Peter EkehSurgery, Boonshoft School of Medicine, Wright State University, Dayton, USA.
Anil HingoraniSurgery, New York University-Langone Health, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Physicians from underrepresented groups in medicine have historically been less likely to enter surgical specialties. This project sought to evaluate changes in the demographics of surgical society leadership from 1980 to 2025. Methodology In total, 31 societies were included in this retrospective analysis, and data on age, sex, and ethnicity were gathered and analyzed using SPSS. Results There was a significant increase in the number of female presidents and non-White presidents in the 2010-2025 period compared to 1980-1995. The Association for Academic Surgery (AAS), American Society of Breast Surgeons, and the Association for Surgical Education all had more female presidents than average, while the American Urological Association had fewer. AAS and the Surgical Society of the Alimentary Tract both had more non-White presidents than other societies. The American Pediatric Surgical Association and Western Surgical Association presidents were significantly older, while the AAS, American Society of Colon and Rectal Surgeons, EAST Trauma Society, Midwestern Surgical Society, and Society for University Surgeons presidents were significantly younger than the overall median age. Conclusions Many surgical societies have improved their representation of women and non-White surgeons. These significant changes in representation signify an appreciation for the demographic changes in the United States within the past 45 years.

Indexed as

healthcare leadershipinclusion and diversityretrospective researchsociodemographicsurgery general

Identifiers

PMID41684974
PMCPMC12891748

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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.