Evidence map›Paper›PMID 40213085›Full record

ArticleSurgery open science2025

Comparison of complication rates in transgender top surgery (female to male) between conventional bandages and negative pressure wound therapy - A retrospective analysis.

Carmen Leser, Georg Dorffner, Fiona Kabashi, Christine Deutschmann, Daniel König, Zaza Kashibadze, Selina Ebner, Daphne Gschwantler-Kaulich

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Surgery open science, 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

8 authors.

Carmen LeserDepartment of Obstetrics and Gynecology, Cancer Comprehensive Center, Medical University of Vienna, Vienna, Austria.
Georg DorffnerSection for Artificial Intelligence and Decision Support, Medical University of Vienna, Vienna, Austria.
Fiona KabashiDepartment of Obstetrics and Gynecology, Cancer Comprehensive Center, Medical University of Vienna, Vienna, Austria.
Christine DeutschmannDepartment of Obstetrics and Gynecology, Cancer Comprehensive Center, Medical University of Vienna, Vienna, Austria.
Daniel KönigClinical Division of Social Psychiatry, Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.
Zaza KashibadzeDepartment of Obstetrics and Gynecology, Cancer Comprehensive Center, Medical University of Vienna, Vienna, Austria.
Selina EbnerDepartment of Obstetrics and Gynecology, Cancer Comprehensive Center, Medical University of Vienna, Vienna, Austria.
Daphne Gschwantler-KaulichDepartment of Obstetrics and Gynecology, Cancer Comprehensive Center, Medical University of Vienna, Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fifty to 70 % of transgender patients undergo gender-affirming top surgery. In other types of surgeries, the use of negative pressure wound therapy (NPWT) was described as a major point in reducing complications, and we, therefore, examined possible similar effects when using it in gender-affirming top surgery. We investigated differences in the complication rates after body contouring surgery with or without the use of NPWT and included 58 female-to-male transgender patients who have been operated on at the Medical University of Vienna between 2017 and 2020 in this retrospective analysis. Without NPWT, significantly more patients suffered from wound dehiscence (

Indexed as

Breast operationsComplication rates, body contouringNegative pressure wound therapyTransgender top surgery

Identifiers

PMID40213085
PMCPMC11981717

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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.