Investigation of a Ca <sup>2+</sup> Channel α2δ Ligand for the Treatment of Interstitial Cystitis: Results of a Randomized, Double-Blind, Placebo Controlled Phase II Trial
Bibliographic record
Abstract
PURPOSE: We investigated PD-0299685, a Ca(2+) channel α2δ ligand, for interstitial cystitis pain in a randomized, double-blind, placebo controlled phase IIa study. MATERIALS AND METHODS: Patients with interstitial cystitis/bladder pain syndrome received 30 or 60 mg PD-0299685 daily or placebo for 12 weeks. Primary end points were change in average daily worst pain severity score (on an 11-point numerical rating scale) and change in Interstitial Cystitis Symptom Index score from baseline to week 12. Secondary end points included global response assessment, micturition and urgency episode frequency per 24 hours and mean voided volume per micturition. Incidence of adverse events was also assessed. RESULTS: Of 161 patients 54 received 30 mg PD-0299685 daily, 55 received 60 mg PD-0299685 daily and 52 received placebo. At week 12 the 60 mg dose produced a clinically significant reduction in daily worst pain severity score from baseline compared to placebo (treatment difference [90% CI] -0.82 [-1.72, 0.08]). A greater proportion of patients taking 60 mg PD-0299685 daily demonstrated improvement in global response assessment. PD-0299685 had no clinically significant effect on the Interstitial Cystitis Symptom Index score or urinary end points. More patients discontinued due to treatment related adverse events with 30 or 60 mg PD-0299685 daily than with the placebo. CONCLUSIONS: PD-0299685 failed to demonstrate positive proof of concept for the treatment of pain and other urinary end points associated with interstitial cystitis/bladder pain syndrome.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".