Evidence map›Paper›PMID 42502507›Full record

ArticleGynecologic oncology reports2026

Leading the way: A national mixed-methods survey of race, ethnicity, and gender among gynecologic oncology leaders at ACGME-accredited fellowship programs.

Jessica Velasquez, Caroline Gellman, Sara Wetzler, Mona Saleh, Kelly Wang, Stephanie V Blank

Abstract read
In one paragraph

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

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0citing papers in PubMed
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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

6 authors.

Jessica VelasquezThe Ohio State University, Department of Obstetrics and Gynecology, United States of America.
Caroline GellmanIcahn School of Medicine at Mount Sinai, Department of Obstetrics, Gynecology and Reproductive Sciences, United States of America.
Sara WetzlerIcahn School of Medicine at Mount Sinai, Department of Obstetrics, Gynecology and Reproductive Sciences, United States of America.
Mona SalehCapital Health Regional Medical Center, Department of Gynecologic Oncology, United States of America.
Kelly WangThermo Fisher Scientific, United States of America.
Stephanie V BlankIcahn School of Medicine at Mount Sinai, Department of Obstetrics, Gynecology and Reproductive Sciences, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To describe self-reported demographics of gynecologic oncology leaders at U.S. institutions with an ACGME-accredited fellowship program, examine opinions regarding diversity and inclusion and perceived barriers to increased representation, and explore leaders' identity-related experiences. Methods: A cross-sectional mixed-methods survey was distributed to gynecologic oncology leaders at NCI-designated cancer centers and institutions with fellowship programs. Associations between gender, race, and ethnicity, and survey responses were explored. Qualitative responses were analyzed using thematic analysis. Results: Fifty-five leaders responded (45% response rate), and 52.7% identified as female. Gender differed by family structure, with male leaders more likely to report three or more children and female leaders two or fewer ( Conclusions: Racial and ethnic diversity among surveyed leaders was limited. Qualitative findings highlighted perceived systemic and structural barriers to leadership advancement. Systemic, institutional, and departmental efforts focused on early mentorship, leadership development, recognition, and work-life integration may support more equitable leadership pathways within gynecologic oncology.

Indexed as

Academic medicineGenderLeadershipRace and ethnicityWorkforce diversity

Identifiers

PMID42502507
PMCPMC13400757

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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.