Male stress urinary incontinence: assessing patient-reported outcomes
Bibliographic record
Abstract
Male stress urinary incontinence (SUI) is caused by intrinsic sphincter deficiency (ISD) from a variety of etiologies -prostatic surgery as the being the most common.SUI may sometimes be associated with overactive bladder symptoms.Based on the severity of symptoms and the associated level of bother, the patient may seek treatment.A treatment plan is elaborated after careful patient evaluation involving a combination of voiding diary, quality of life (QOL) questionnaires, flowmetry, urethrocystoscopy and urodynamics.The therapeutic options include conservative methods, such as pelvic floor exercises, or surgical modalities such as injectables, adjustable balloon therapy, slings and the artificial urinary sphincter (AUS).The success is defined by objective or subjective outcome measures.This retrospective study presents a global assessment of patient satisfaction and QOL in 37 men at a follow-up of 7 to 60 months after AUS. 1 The investigators demonstrated an overall high QOL level based on a survey of patient-reported outcomes (PRO) composed of 4 questionnaires: International Consultation on Incontinence Questionnaire-Short Form (ICIQ-SF), Post-Operative Patient Global Impression of Improvement (PGI-I), Incontinence Impact Questionnaire-Short Form (IIQ-SF) and Urogenital Distress Index (UDI-SF).Out of 34 patients, 31 would have an AUS placed again and recommend it to a friend with a similar problem.The authors concluded that the insertion of AUS positively impacted QOL and patient satisfaction. 1he economic burden of male SUI has been steadily increasing in the last 2 decades, with most of the increase occurring in the ambulatory surgery setting. 2 Many patients are counselled for and chose a surgical intervention with hopes of cure.As incontinence is not alife-threatening, the patient must decide if the expected benefits outweigh the possible risks and complications of the surgery.His decision is therefore based on how severely his condition affects his QOL.It is crucial for
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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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| 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) | 0.002 | 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".