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Record W4378781106 · doi:10.1097/gox.0000000000005033

Gender-Affirming Vaginoplasty: A Comparison of Algorithms, Surgical Techniques and Management Practices across 17 High-volume Centers in North America and Europe

2023· article· en· W4378781106 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePlastic & Reconstructive Surgery Global Open · 2023
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsCentre de Recherche Dermatologique du Québec Métropolitain
Fundersnot available
KeywordsVaginoplastyMedicineLabia minoraTransgenderPerioperativeGeneral surgerySurgeryVagina

Abstract

fetched live from OpenAlex

Penile inversion vaginoplasty is the most common gender-affirming genital surgery performed around the world. Although individual centers have published their experiences, expert consensus is generally lacking. Methods: Semistructured interviews were performed with 17 experienced gender surgeons representing a diverse mix of specialties, experience, and countries regarding their patient selection, preoperative management, vaginoplasty techniques, complication management, and postoperative protocols. Results: There is significant consistency in practices across some aspects of vaginoplasty. However, key areas of clinical heterogeneity are also present and include use of extragenital tissue for vaginal canal/apex creation, creation of the clitoral hood and inner labia minora, elevation of the neoclitoral neurovascular bundle, and perioperative hormone management. Pathway length of stay is highly variable (1-9 days). Lastly, some surgeons are moving toward continuation or partial reduction of estrogen in the perioperative period instead of cessation. Conclusions: With a broad study of surgeon practices, and encompassing most of the high-volume vaginoplasty centers in Europe and North America, we found key areas of practice variation that represent areas of priority for future research to address. Further multi-institutional and prospective studies that incorporate patient-reported outcomes are necessary to further our understanding of these procedures.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.098
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.070
GPT teacher head0.402
Teacher spread0.332 · 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