Impact of bladder dysfunction in the management of post radical prostatectomy stress urinary incontinence—a review
Bibliographic record
Abstract
Abstract: Bladder dysfunction is a relatively common urodynamic finding post radical prostatectomy (RP). It can be the sole cause of post prostatectomy incontinence (PPI) or may be found in association with stress urinary incontinence (SUI). The aim of this review is to provide a comprehensive review of the diagnosis and different treatments of post RP bladder dysfunction. A comprehensive literature review using medical search engines was performed. The search included a combination of the following terms, PPI, detrusor overactivity (DO), detrusor underactivity (DU), impaired compliance, anticholinergic, onabotulinumtoxinA (Botox®) and sacral neuromodulation (SNM). Definitions, general overview and management options were extracted from the relevant medical literature. DO, DU and impaired compliance are common and may occur alone or in combination with SUI. In some patients the conditions exist pre RP, in others they arise due to denervation and surgical changes. DO can be treated with anticholinergics, Botox® and SNM. DO may need to be treated before SUI surgery. DU may be a contraindication to male sling surgery as some patients may go into urinary retention. Severely impaired bladder compliance may be a contraindication to SUI surgery as the upper tracts may be at risk. Each individual dysfunction may affect the outcome of PPI treatments and clinicians should be alert to managing bladder dysfunction in PPI 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".