Longitudinal experience with Studer neobladders: Outcomes and complications
Bibliographic record
Abstract
INTRODUCTION: This study aims to assess the longer-term functional, anatomical, and metabolic outcomes of patients who underwent Studer neobladder (SNB) urinary diversion. METHODS: A retrospective review of patients who underwent SNB at a single center from 1995-2017 (n=116) was performed. Demographics, comorbidities, pathological data, and longer-term functional, anatomical, and metabolic outcomes were collected from hospital records. The primary outcome was voiding function of patients at most recent followup. Secondary outcomes included postoperative complications, renal function, nephrolithiasis, infections, and metabolic outcomes. RESULTS: Excluding those with incomplete followup data, 72 patients with a minimum followup of one year were included for analysis. Median followup was 70±11 months, with 52.8% of patients having ≥5 years of followup. Clean intermittent catheterization (CIC) was used by 22.2% of patient at most recent followup, which was mostly necessitated by bladder overdistension, deteriorating renal function, or recurrent urosepsis despite timed voiding. Patients experienced more daytime and nighttime urinary incontinence in the early postoperative setting, which improved over time. Generally, renal function declined over time; poorer long-term renal function was predicted by hydronephrosis within one year (p=0.002). CONCLUSIONS: Longer-term followup of SNB reveals significant but manageable complications. Gradual decline in renal function was common. Strict adherence to bladder emptying protocols (e.g., timed voiding or CIC) may reduce incidence of renal deterioration, metabolic disorders, and urinary dysfunction. Early onset (<1 year) of hydronephrosis may indicate a need for intervention to preserve long-term renal function.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".