Duloxetine for the treatment of post-prostatectomy stress urinary incontinence
Bibliographic record
Abstract
OBJECTIVES: Stress urinary incontinence (SUI) is a known complication following prostatectomy. Duloxetine, a combined serotonin/norepinephrine reuptake inhibitor, can decrease SUI by increasing urethral sphincter contractility. We examined the outcomes of patients with mild to moderate post-prostatectomy SUI treated with duloxetine. METHODS: We conducted a retrospective review of men treated with duloxetine to manage mild to moderate post-prostatectomy SUI from 2006 to 2012. All patients received oral duloxetine 30 mg once a week, then 60 mg thereafter. Patients were seen one month later to determine drug efficacy and side effects. RESULTS: In total, 94 men were included in the study. Daily pad usage decreased from 2.9 (range: 1-5) to 1.6 (range: 0-4) (p < 0.05). Incontinence Impact Questionnaire (IIQ-7) scores decreased from 13.0 (range: 6-18) to 7.9 (range: 2-16) (p < 0.05). Linear satisfaction scores improved from 0.8 (range: 0-2) to 2.0 (range: 1-3) (p < 0.05). Following a 1-month duloxetine trial, 33/94 (35%) men reported satisfactory SUI improvement and requested to continue the medication. The drug was discontinued in 61/94 (65%) patients due to poor efficacy in 32/94 (34%), intolerable side effects in 14/94 (15%) or both in 15/94 (16%). Reported side effects included fatigue, light-headedness, insomnia, nausea and dry mouth. CONCLUSIONS: Duloxetine improved post-prostatectomy SUI in 47/94 (50%) men following a 1-month trial. However, only 33/94 (35%) patients were able to tolerate the drug. Duloxetine may be considered a treatment option for men with mild to moderate post-prostatectomy SUI.
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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) | 0.001 | 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 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".