Robot‐assisted laparoscopic continent cutaneous urinary diversion in adults: A single‐centre study
Bibliographic record
Abstract
Objectives: To show that robot-assisted laparoscopic cutaneous continent urinary diversion (RALCCUD) is feasible and safe; however, data on clinical outcomes in adults are lacking. Materials and methods: We conducted a retrospective study of all adults who underwent RALCCUD between 2017 and 2022 at a single tertiary reference centre.Patient characteristics, clinical information and perioperative outcomes were recorded. All patients underwent pre- and postoperative urodynamic evaluations.Functional outcomes were evaluated at 3 months, then yearly. Continence was defined as no stomal or urethral leakage. Results: = 11), median (IQR) age 47.4 (19-57) years underwent RALCCUD (four Mitrofanoff, four Yang-Monti and four Casale). The main indication for surgery was inability to perform intermittent self-catheterization through the native urethra.Eleven patients (92%) had neurogenic lower urinary tract disease caused by spinal cord injury or spinal dysraphism.Median (IQR) operative time was 313 (285-367) min. Four patients (33%) underwent concomitant procedures: three supratrigonal cystectomy (SC) with augmentation cystoplasty (AC) and one artificial urinary sphincter (AUS). No conversions to an open approach were required. Median (IQR) follow-up was 51 (40-61) months. One early postoperative complication occurred (Clavien grade III). The late postoperative complication rate was 17%, with three complications occurring in three patients.At the last follow-up, all patients could self-catheterize through the tube, and the stomal and urethral continence rate was 100%. Conclusion: RALCCUD is feasible and safe in adults, with a high rate of stomal and urethral continence and a low complication rate.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".