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Record W2643856598 · doi:10.1097/gox.0000000000001401

Gender Confirmation Surgery: Cosmetic or Reconstructive Procedure?

2017· article· en· W2643856598 on OpenAlexaff
Alexis Laungani, P. Brassard

Bibliographic record

VenuePlastic & Reconstructive Surgery Global Open · 2017
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsCentre de Recherche Dermatologique du Québec Métropolitain
Fundersnot available
KeywordsContext (archaeology)Reconstructive surgeryBeautyMedicineTransgenderSpecialtyPsychologySurgeryAestheticsPsychiatryPsychoanalysisArt

Abstract

fetched live from OpenAlex

Sir: With new reports indicating a higher incidence than previously published, transgender individuals see their medical needs increasing proportionally. Similarly to many other subspecialties, transgender medicine and surgery include a wide variety of providers working together in a multidisciplinary environment. Plastic surgeons play a key role in providing diverse surgical procedures contributing to helping relieve the significant distress encountered by transgender individuals.1 The line between the cosmetic or reconstructive nature of these procedures can somewhat appear difficult to draw. Overall, it is not uncommon in our specialty to get the excitement of being able to restore a function while achieving beauty and vice versa, but it can also be misinterpreted by third party payers and cause of frustration to our patients. It becomes even more complex when the function is conserved, making all procedures virtually “non-medically needed.” It is commonly accepted to consider the surgical treatment of a defect as reconstructive, whereas more elective surgeries might be considered cosmetic and imputable to the patient. This dichotomy might not be as clearly defined in the reality of various situations that the plastic surgeon deals with. Patient factors and clinical context may influence widely the nature of a procedure and the qualification of cosmetic versus reconstructive. For example, shall we consider reconstructive or cosmetic the extreme case of a facial allotransplantation procedure that gives a blind patient a better chance to interact with peers, especially if his oral function was conserved but his appearance was discriminated against? In this specific situation, one acknowledges that the patient’s life is impacted only by the peer pressure and accepts to proceed with a corrective reconstruction to provide the patient with a more balanced life.2 Even though appearing physically intact, the gender dysphoric patient wears the mask of a gendered body he/she/they do(es) not assimilate to, which provides a mismatch between society expectation and self-feeling. For the sole purpose of dichotomy, the transgender patient could be considered as having a birth defect by not having a body envelope corresponding to their true gender. Gender confirmation (also called sex reassignment) with hormones, mental therapy, and surgical transition, has been shown to relieve symptoms of gender dysphoria and to provide patients with a regained socialization in their true gender, as opposed to their gender assigned at birth.3,4 As a society and more specifically as a scientific community, it is our role to provide guidelines for interpretation and to publish appropriately in the “cosmetic” versus “reconstructive” sections of peer-reviewed journals, based on our knowledge and expertise. We do believe that it is crucial to recognize gender confirmation surgical procedures as reconstructive and classify/publish them accordingly. The alternative would consider a life-changing operation as purely cosmetic and could threaten the insurance coverage for our patients in the long term. Furthermore, it perpetrates the wrong idea that being gender dysphoric is a choice and that undergoing medical, psychiatric, and surgical therapy is a chosen way to enhance one’s physical appearance.

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)0.001
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.003
Open science0.0010.001
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0100.004

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 head0.108
GPT teacher head0.386
Teacher spread0.279 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations5
Published2017
Admission routes1
Has abstractyes

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