Management of chronic prostatitis/chronic pelvic pain syndrome
Bibliographic record
Abstract
�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 -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 -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-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 -Blockers,antibiotics,andcombinationsofthesetherapiesappeartoachieve the greatest improvement in clinical symptom scores compared with placebo. Antiinflammatory therapies have a lesser but measurable benefit on selected outcomes. However, beneficial effects of -blockers may be overestimated because of publication bias.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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 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".