Management of Chronic Prostatitis/ Chronic Pelvic Pain Syndrome
Bibliographic record
Abstract
CONTEXT: Chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS) is common, but trial evidence is conflicting and therapeutic options are controversial. OBJECTIVE: To conduct a systematic review and network meta-analysis comparing mean symptom scores and treatment response among α-blockers, antibiotics, anti-inflammatory drugs, other active drugs (phytotherapy, glycosaminoglycans, finasteride, and neuromodulators), and placebo. DATA SOURCES: We searched MEDLINE from 1949 and EMBASE from 1974 to November 16, 2010, using the PubMed and Ovid search engines. STUDY SELECTION: Randomized controlled trials comparing drug treatments in CP/CPPS patients. DATA EXTRACTION: Two reviewers independently extracted mean symptom scores, quality-of-life measures, and response to treatment between treatment groups. Standardized mean difference and random-effects methods were applied for pooling continuous and dichotomous outcomes, respectively. A longitudinal mixed regression model was used for network meta-analysis to indirectly compare treatment effects. DATA SYNTHESIS: Twenty-three of 262 studies identified were eligible. Compared with placebo, α-blockers were associated with significant improvement in symptoms with standardized mean differences in total symptom, pain, voiding, and quality-of-life scores of -1.7 (95% confidence interval [CI], -2.8 to -0.6), -1.1 (95% CI, -1.8 to -0.3), -1.4 (95% CI, -2.3 to -0.5), and -1.0 (95% CI, -1.8 to -0.2), respectively. Patients receiving α-blockers or anti-inflammatory medications had a higher chance of favorable response compared with placebo, with pooled RRs of 1.6 (95% CI, 1.1-2.3) and 1.8 (95% CI, 1.2-2.6), respectively. Contour-enhanced funnel plots suggested the presence of publication bias for smaller studies of α-blocker therapies. The network meta-analysis suggested benefits of antibiotics in decreasing total symptom scores (-9.8; 95% CI, -15.1 to -4.6), pain scores (-4.4; 95% CI, -7.0 to -1.9), voiding scores (-2.8; 95% CI, -4.1 to -1.6), and quality-of-life scores (-1.9; 95% CI, -3.6 to -0.2) compared with placebo. Combining α-blockers and antibiotics yielded the greatest benefits compared with placebo, with corresponding decreases of -13.8 (95% CI, -17.5 to -10.2) for total symptom scores, -5.7 (95% CI, -7.8 to -3.6) for pain scores, -3.7 (95% CI, -5.2 to -2.1) for voiding, and -2.8 (95% CI, -4.7 to -0.9) for quality-of-life scores. CONCLUSIONS: α-Blockers, antibiotics, and combinations of these therapies appear to achieve the greatest improvement in clinical symptom scores compared with placebo. Anti-inflammatory therapies have a lesser but measurable benefit on selected outcomes. However, beneficial effects of α-blockers may be overestimated because of publication bias.
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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 | 0.015 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.007 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".