Evidence map›Paper›PMID 38660334›Full record

ArticlePlastic and reconstructive surgery. Global open2024

Predictors of Unplanned Reoperation after Gender-affirming Mastectomy: An Analysis of the NSQIP Database.

Bashar Hassan, Claudia Taccheri, Lily Guo, Mona Ascha, John H Pang, Scott Mosser, Fan Liang

Open access · greenAbstract read
In one paragraph

Article in Plastic and reconstructive surgery. Global open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 23% of its field
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

4 citing papers in PubMed, 2 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Bashar HassanFrom the Department of Plastic and Reconstructive Surgery, Center for Transgender and Gender Expansive Health, Johns Hopkins University, Baltimore, Md.
Claudia TaccheriJohns Hopkins University School of Medicine, Baltimore, Md.
Lily GuoRosalind Franklin University, Chicago Medical School, North Chicago, Ill.
Mona AschaFrom the Department of Plastic and Reconstructive Surgery, Center for Transgender and Gender Expansive Health, Johns Hopkins University, Baltimore, Md.
John H PangMount Sinai Center for Transgender Medicine and Surgery, Mount Sinai Health System and Icahn School of Medicine at Mount Sinai, New York, N.Y.
Scott MosserSaint Francis Memorial Hospital, San Francisco, Calif.
Fan LiangFrom the Department of Plastic and Reconstructive Surgery, Center for Transgender and Gender Expansive Health, Johns Hopkins University, Baltimore, Md.
Johns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Gender-affirming mastectomy (GAM) is a gender-affirmation surgery designed to remove or reduce breast tissue, with or without nipple reconstruction. GAM is the most commonly performed gender-affirmation surgery and risk factors associated with unplanned return to the operating room and reoperation continue to be investigated. This is the largest study of transgender and nonbinary patients undergoing GAM to determine predictors of unplanned reoperation. Methods: The National Surgical Quality Improvement Program database was queried for patients undergoing GAM from 2012 to 2020. The primary outcome was the incidence of unplanned reoperation within 30 days postoperatively. The secondary outcome was the indication for unplanned reoperation within this period. Descriptive statistics were calculated. Bivariate analysis and multivariate logistic regression were performed to determine significant predictors of reoperation after GAM. Results: A total of 2316 patients underwent GAM, of whom 2.2% ( Conclusions: Diabetes mellitus and corticosteroid use were associated with unplanned reoperation after GAM. Ethnic correlations remain to be better elucidated as well as the effect of intersectionality. These findings can be used to guide patient selection and surgical decision-making.

Identifiers

PMID38660334
PMCPMC11042775
OpenAlexW4395466562

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.