SIMPLIFIED MONS PLASTY: A NEW TECHNIQUE TO IMPROVE COSMESIS IN FEMALES WITH THE EXSTROPHY-EPISPADIAS COMPLEX
Bibliographic record
Abstract
PURPOSE: Long-term data suggest that a significant number of women with the exstrophy-epispadias complex (EEC) report dissatisfaction with the cosmetic appearance of the genitalia. We developed a new technique of mons plasty in an attempt to improve the overall cosmetic appearance of the external genitalia in females with EEC. MATERIALS AND METHODS: Nine consecutive females with a mean age of 6.4 years (range 2 days to 12.2 years) previously diagnosed with EEC underwent simplified mons plasty concomitantly with various other urological reconstructive procedures. Briefly, a simplified mons plasty was performed by approximating the bifid hemiclitoris and subsequently incising the lateral sulci between the labia majora and minora, which allowed the superomedial rotation of the labia majora and underlying peripubic adipose tissue, thus, recreating the mons. RESULTS: There were no perioperative complications. With a mean followup of 6 months (range 4 to 12) all patients had improved cosmesis with respect to a more prominent mons, more appropriately situated labia and adequately recessed introitus. CONCLUSIONS: Simplified mons plasty improves cosmesis in females with external genital abnormalities secondary to EEC. Although our followup is admittedly short, we believe that this technique should be considered in the armamentarium of the reconstructive surgeon during the operative treatment of this complex group of patients.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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".