Randomized, Double‐Blind, Placebo‐Controlled Trial of Intraarticular Trans <i>‐</i> Capsaicin for Pain Associated With Osteoarthritis of the Knee
Bibliographic record
Abstract
OBJECTIVE: To assess the efficacy and safety of high-purity synthetic trans-capsaicin (CNTX-4975) in patients with chronic moderate-to-severe osteoarthritis (OA)-associated knee pain. METHODS: In this phase II multicenter double-blind study, patients ages 45-80 years who had stable knee OA were randomized in a 2:1:2 ratio to receive a single intraarticular injection of placebo, CNTX-4975 0.5 mg, or CNTX-4975 1.0 mg. The primary efficacy end point was area under the curve (AUC) for change from baseline in daily Western Ontario and McMaster Universities Osteoarthritis Index pain with walking score (range 0-10, 0 = none and 10 = extreme) through week 12. Secondary efficacy end points included a similar AUC analysis of outcomes in patients treated with CNTX-4975 0.5 mg, and evaluations extending to 24 weeks. RESULTS: Efficacy was evaluated in 172 patients (placebo group, n = 69; CNTX-4975 0.5 mg group, n = 33; CNTX-4975 1.0 mg group, n = 70). At week 12, greater decreases in the AUC for the pain score were observed with CNTX-4975 in the 0.5 mg and 1.0 mg groups versus placebo (0.5 mg group least squares mean difference [LSMD] -0.79, P = 0.0740; 1.0 mg group LSMD -1.6, P < 0.0001). Significant improvements were maintained at week 24 in the 1.0 mg group (LSMD -1.4, P = 0.0002). Treatment-emergent adverse events were similar in the placebo and CNTX-4975 1.0 mg groups. CONCLUSION: In this study, CNTX-4975 provided dose-dependent improvement in knee OA-associated pain. CNTX-4975 1.0 mg produced a significant decrease in OA knee pain through 24 weeks; CNTX-4975 0.5 mg significantly improved pain at 12 weeks, but the effect was not evident at 24 weeks.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.005 | 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".