Treating neuropathic incontinence in children with seromuscular colocystoplasty and an artificial urinary sphincter
Bibliographic record
Abstract
PURPOSE: To review the results of artificial urinary sphincter (AUS) implantation combined with seromuscular colocystoplasty (SCLU) in the treatment of mixed neurogenic urinary incontinence in children. PATIENTS AND METHODS: Patients (27, six females) who had undergone SCLU were interviewed, and their charts and imaging studies reviewed retrospectively. Their urodynamic data were analysed and bladder capacity, end-filling pressure, safe capacity and percentage of expected capacity for age compared before and after surgery. Continence was defined as dryness between catheterizations or voiding with no need for protective pads. RESULTS: The mean (sd) follow-up since the SCLU was 1.7 (1.1) years; continence was achieved in 24 of the 27 (89%) patients with no additional procedures. No significant upper tract changes developed. Bladder capacity, safe capacity for age and end-filling pressure were all improved significantly. There were two AUS erosions necessitating removal and in one patient the augmentation failed. Six patients early in the series developed an 'hourglass' deformity that required correction. Modifications to the technique to avoid this complication are discussed. CONCLUSIONS: For children with neuropathic incontinence who require both augmentation of outlet resistance and bladder storage capacity, the combination of the AUS and SCLU effectively achieves continence with no upper tract deterioration. SCLU is also the preferred method of augmentation when adverse bladder changes occur after implanting the AUS.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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".