Alfuzosin and Symptoms of Chronic Prostatitis–Chronic Pelvic Pain Syndrome
Bibliographic record
Abstract
BACKGROUND: In men with chronic prostatitis-chronic pelvic pain syndrome, treatment with alpha-adrenergic receptor blockers early in the course of the disorder has been reported to be effective in some, but not all, relatively small randomized trials. METHODS: We conducted a multicenter, randomized, double-blind, placebo-controlled trial to evaluate the efficacy of alfuzosin, an alpha-adrenergic receptor blocker, in reducing symptoms in men with chronic prostatitis-chronic pelvic pain syndrome. Participation in the study required diagnosis of the condition within the preceding 2 years and no previous treatment with an alpha-adrenergic receptor blocker. Men were randomly assigned to treatment for 12 weeks with either 10 mg of alfuzosin per day or placebo. The primary outcome was a reduction of at least 4 points (from baseline to 12 weeks) in the score on the National Institutes of Health Chronic Prostatitis Symptom Index (NIH-CPSI) (range, 0 to 43; higher scores indicate more severe symptoms). A 4-point decrease is the minimal clinically significant difference in the score. RESULTS: A total of 272 eligible participants underwent randomization, and in both study groups, 49.3% of participants had a decrease of at least 4 points in their total NIH-CPSI score (rate difference associated with alfuzosin, 0.1%; 95% confidence interval, -11.2 to 11.0; P=0.99). In addition, a global response assessment showed similar response rates at 12 weeks: 33.6% in the placebo group and 34.8% in the alfuzosin group (P=0.90). The rates of adverse events in the two groups were also similar. CONCLUSIONS: Our findings do not support the use of alfuzosin to reduce the symptoms of chronic prostatitis-chronic pelvic pain syndrome in men who have not received prior treatment with an alpha-blocker. (ClinicalTrials.gov number, NCT00103402.)
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 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".