Evidence map›Paper›PMID 40557063›Full record

ArticleTransgender health2025

Outcomes of Combining Mastectomy and Hysterectomy for Transmasculine Patients.

Keeley D Newsom, Mary M Holohan, Megan Eigsti, Payal P Patel, Hannah M Locke, Ivan Hadad

Abstract read
In one paragraph

Article in Transgender health, 2025. 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

6 authors.

Keeley D NewsomDivision of Plastic Surgery, Department of Surgery, University of California School of Medicine, San Diego, La Jolla, California, USA.ORCID https://orcid.org/0000-0003-1045-6995
Mary M HolohanDivision of Plastic Surgery, Department of Surgery, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Megan EigstiDivision of Plastic Surgery, Department of Surgery, Indiana University School of Medicine, Indianapolis, Indiana, USA.ORCID https://orcid.org/0000-0002-1052-2211
Payal P PatelDivision of Plastic Surgery, Department of Surgery, Indiana University School of Medicine, Indianapolis, Indiana, USA.ORCID https://orcid.org/0000-0002-3521-3124
Hannah M LockeObstetrics and Gynecology Care, Community Physician Network, Indianapolis, Indiana, USA.
Ivan HadadDivision of Plastic Surgery, Department of Surgery, Indiana University School of Medicine, Indianapolis, Indiana, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Many transmasculine patients undergo gender-affirming mastectomy and hysterectomy. Conflicting evidence exists whether these procedures may be safely combined. The purpose of this study is to compare post-operative complications between transmasculine patients who underwent mastectomy alone versus mastectomy in combination with hysterectomy. Methods: Retrospective chart review was performed on patients who underwent mastectomy between January 2020 and September 2022 ( Results: Overall rate of chest wall complications was 8.8%. Combination of mastectomy with hysterectomy within the same day significantly increased operation time (311 vs. 166 min, Conclusion: Combining mastectomy and hysterectomy is not a benign undertaking as it is associated with increased risk of post-operative chest wall infection. Multidisciplinary surgical teams treating transmasculine patients should choose a surgical plan that optimizes patient outcomes.

Indexed as

gender-affirming surgerypatient safetypost-operative complicationssurgical outcomestransgender

Identifiers

PMID40557063
PMCPMC12183498

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.