Body Mass Index as a Predictor of Surgical Outcomes in Gender-Affirming Vaginoplasty: A Nationwide Analysis

Patients with class III obesity have higher rates of dehiscence, reoperation, and readmission. Surgeons should consider these findings when discussing risks and expectations with patients during the informed consent process.

Authors

Institutions

Publication Details

Journal
Plastic & Reconstructive Surgery
Published
2025-10-09
DOI
https://doi.org/10.1097/prs.0000000000012514
Citations
1
Primary Topic
LGBTQ Health, Identity, and Policy
Type
article
Field-Weighted Citation Impact
2.44
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Body Mass Index as a Predictor of Surgical Outcomes in Gender-Affirming Vaginoplasty: A Nationwide Analysis

Artur Manasyan, Roberto Travieso, Erin M. Wolfe, Eloise Stanton et al.
1 citations
Plastic & Reconstructive Surgery
LGBTQ Health, Identity, and Policy
2.44
article

Body Mass Index as a Predictor of Surgical Outcomes in Gender-Affirming Vaginoplasty: A Nationwide Analysis

Artur Manasyan, Roberto Travieso, Erin M. Wolfe, Eloise Stanton, Idean Roohani, Jacqueline Stoneburner, Michael I. Kim
article en
1 citations

Abstract

Patients with class III obesity have higher rates of dehiscence, reoperation, and readmission. Surgeons should consider these findings when discussing risks and expectations with patients during the informed consent process.

Plastic & Reconstructive Surgery
University of Southern California (US), Keck Hospital of USC (US), Equilibrium Research (GB)
Openalex Percentile: Top 9%
LGBTQ Health, Identity, and Policy
2.44
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.