Tropomyosin-related kinase A (TrkA) inhibition for the treatment of painful knee osteoarthritis: results from a randomized controlled phase 2a trial
Bibliographic record
Abstract
OBJECTIVE: To investigate the TrkA inhibitor, ASP7962, for treatment of painful knee osteoarthritis. DESIGN: Phase 2a, double-blind, placebo- and naproxen-controlled, double-dummy, parallel-group study. Adults with knee osteoarthritis were randomized (2:2:1) to ASP7962 (100 mg), placebo, or naproxen (500 mg) twice daily (BID) for 4 weeks. Primary endpoint: change from baseline to Week 4 in Western Ontario and McMaster Universities Arthritis Index (WOMAC) pain subscale score. Secondary endpoints: change from baseline to Weeks 1, 2, and End of Treatment (EoT) in WOMAC pain subscale score; change from baseline to Weeks 1, 2, 4, and EoT in WOMAC physical function and stiffness subscales, walking pain and WOMAC total scores; and change from baseline in daily average pain score. RESULTS: 215 participants were randomized (ASP7962 100 mg BID, n = 85; placebo, n = 87; naproxen 500 mg BID, n = 43). No significant difference was observed between ASP7962 and placebo in change from baseline to Week 4 in WOMAC pain subscale score (-0.14; 90% 2-sided CI: -0.62, 0.34; P = 0.316); a significant difference was observed between naproxen and placebo (-0.67; 80% 2-sided CI: -1.12, -0.23; P = 0.027). No differences were observed between ASP7962 and placebo in change from baseline in any WOMAC subscale score; statistically significant changes were observed between naproxen and placebo (P ≤ 0.01, all time points for all WOMAC endpoints). ASP7962 was safe and well-tolerated. CONCLUSIONS: Four-week treatment with ASP7962 (100 mg BID) did not improve pain or physical function in individuals with painful knee osteoarthritis. ClinicalTrials.gov, NCT02611466; EudraCT Number, 2014-004996-22.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| 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) | 0.006 | 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".