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Record W4403439872 · doi:10.1093/asj/sjae211

Long-term Functional and Aesthetic Outcomes of Labiaplasty: A Review of the Literature

2024· review· en· W4403439872 on OpenAlexaff
Meghan McGrattan, Amna Majeed, Steven A. Hanna

Bibliographic record

VenueAesthetic Surgery Journal · 2024
Typereview
Languageen
FieldMedicine
TopicFemale Genital Mutilation/Cutting Issues
Canadian institutionsUniversity of TorontoMount Sinai Hospital
Fundersnot available
KeywordsMedicineSex organHygieneMEDLINEPatient satisfactionIncidence (geometry)SurgeryGeneral surgery

Abstract

fetched live from OpenAlex

The incidence of female genital cosmetic surgery (FGCS), and specifically labiaplasty, is on the rise. Common motivators for labiaplasty include hygiene concerns, functional impairment, difficulties with physical or sexual activity, and dissatisfaction with genital appearance, among others. However, there have been few reports on long-term functional and aesthetic outcomes and complications of labiaplasty. The aim of this literature review was to report on long-term outcomes of labiaplasty, defined as ≥1 year postoperatively, to inform safety and efficacy recommendations for the procedure. A comprehensive literature review was conducted on PubMed (National Institutes of Health, Bethesda, MD) and Embase (Elsevier, Amsterdam, the Netherlands) from inception to December 1, 2023, following PRISMA guidelines. Articles were selected according to predetermined eligibility criteria. A manual search was performed to identify additional relevant studies. Nine studies reported on the long-term postoperative complications associated with labiaplasty, with a cumulative total of 748 patients. The most commonly reported complications included postoperative asymmetry (n = 45, 6.02%), scarring (n = 14, 1.87%), and the need for revisional surgery (n = 42, 5.61%). Of note, the majority of patients (n = 621 of 748) were reported to not have any postoperative complications. In the 7 studies that reported on psychological outcomes associated with labiaplasty, all reported sustained improvement in genital appearance scores as well as aesthetic and sexual satisfaction over the long term.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.013
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0130.014
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.050
GPT teacher head0.334
Teacher spread0.284 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2024
Admission routes1
Has abstractyes

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