Evidence map›Paper›PMID 39126451›Full record

ArticleDigestive diseases and sciences2024

Patched but Still Leaky: An Update on the Pipeline for Women in Gastroenterology.

Nivita D Sharma, Karen C Young, Lauren D Feld, Loren G Rabinowitz

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Article in Digestive diseases and sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

4 authors.

Nivita D SharmaDepartment of Medicine, Duke University School of Medicine, 2301 Erwin Road, Durham, NC, 27705, USA. nivita.sharma@duke.edu.
Karen C YoungDepartment of Medicine, Duke University School of Medicine, 2301 Erwin Road, Durham, NC, 27705, USA.
Lauren D FeldDivision of Gastroenterology, Department of Medicine, UMass Chan School of Medicine, Worcester, MA, USA.
Loren G RabinowitzDivision of Gastroenterology, Department of Medicine, Beth Israel Deaconess Center, Harvard University, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWomen remain underrepresented in gastroenterology (GI). Studies have identified that a lack of formal mentorship for women contributes to this underrepresentation. While many GI divisions have adopted models for supporting GI fellows and faculty, there is a gap in our knowledge regarding mentorship options for internal medicine (IM) residents interested in GI.

aimsTo evaluate representation of women at each level of their career (resident, fellow, and attending) and examine trends in representation of women in GI compared to other IM subspecialties.

methodsWe analyzed AAMC Physician Specialty Data Reports to compare gender representation and growth of women representation across all IM subspecialties and residencies from 2007 to 2021.

resultsIn 2021, 44.3% of IM residents, 37.8% of GI fellows, and 19.7% of actively practicing attending gastroenterologists were women. Since 2007, GI comprised significantly lower proportions of women attendings except for cardiology, and lower representation in fellows, except for cardiology and nephrology, than other IM subspecialties (p < 0.001). There was a consistently higher proportion of women GI fellows than attendings over the past 14 years (p < 0.01).

conclusionsGI has among the lowest representation of women at each career level compared to other IM subspecialties. Given the previously reported preference of gender congruent mentoring, the underrepresentation of senior academic gastroenterologists who are women may be a contributing factor to lower proportions of women trainees choosing to pursue GI.

Indexed as

Career ChoiceGastroenterologyInternship and ResidencyPhysicians, WomenFellowships and ScholarshipsFemaleGastroenterologistsHumansMaleMentorsUnited StatesGender equityWomen in gastroenterologyWomen physiciansWomen trainees

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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.