(128) EVALUATION OF DONOR-SITE MORBIDITY AFTER RADIAL FOREARM FLAP ELEVATION FOR TOTAL PHALLIC RECONSTRUCTION IN TRANSGENDER MEN
Bibliographic record
Abstract
Abstract Objectives Radial artery forearm free-flap (RAFFF) phalloplasty is the main technique used to total phallic construction (TPC) in transgender men. Donor-site morbidity has been rarely investigated. The study aims to evaluate the surgical and functional outcomes of donor site reconstruction. Methods It is a retrospective analysis of TPC with RAFFF performed from 2016 to 2022. Were considered as outcome measures: duration of the procedure, hospital stay, size of the donor-site defect, and postoperative complication rate. Validated tools and questionnaires used for functional outcomes evaluation were: Vancouver and POSAS scale, Scar Pinch Test, and aROM. Patient-reported outcomes were inquired using a 3 items ad-hoc created questionnaire. A subanalysis was made according to the donor site reconstruction technique: Group A a full-thickness skin graft (FTSG); Group B a single-layer dermal matrix with split-thickness skin (STSG) graft. Results Group A included 18 (53%) patients, whereas group B 16 (47%) patients. Mean follow-up was 24 months (IQR 11-40). The median donor-site defect was 302 cc (IQR 306-323, p=0.21). Early postoperative complications were described in 23.5% of cases. Mean graft take was 91%. A complete graft take was detected in 58.9% of the patients, with a significant advantage for group B (93.8%) respect to group A (27.8%) (p= 0.0001). In Group B a significantly shorter operative time (310min vs 447min p= 0.0001) and a reduced median hospital stay (8 days vs 10 days p= 0.001) were detect. Overall 80% of patients were satisfied with the appearance of the arm, and 92% with the post-surgery functionality. The analysis reveals that Group B reached a significantly higher satisfaction rate for arm appearance compared to group A (94% vs 66% p = 0.048). Conclusions FTSG or single layer dermal matrix with STSG for donor-site reconstruction after RAFFF provides satisfactory surgical, functional and aesthetic outcomes. Conflicts of Interest None to declare.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".