Efficacy and Safety of Intravenous Tanezumab for the Symptomatic Treatment of Osteoarthritis: 2 Randomized Controlled Trials versus Naproxen
Bibliographic record
Abstract
OBJECTIVE: Two studies evaluated efficacy and safety of tanezumab versus naproxen for treatment of knee or hip osteoarthritis (OA). METHODS: Randomized controlled studies [NCT00830063 (Study 1015, n=828) and NCT00863304 (Study 1018, n=840)] of subjects with hip or knee OA compared intravenous tanezumab (5 mg or 10 mg) to placebo and naproxen (500 mg twice daily). Coprimary outcomes were Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) Pain, WOMAC Physical Function (0-10 numerical rating scale), and patient's global assessment of OA at Week 16. RESULTS: In both studies, tanezumab reduced pain versus placebo [least squares mean differences, 95% CI, tanezumab 5 mg: -1.21 (-1.72, -0.70); -1.13 (-1.65, -0.62); tanezumab 10 mg: -0.91 (-1.42, -0.40); -0.80 (-1.32, -0.29)], and improved function and global scores. Tanezumab 5 mg produced greater pain reduction [-0.76 (-1.28, -0.25); -0.69 (-1.21, -0.17)], and favorable functional and global outcomes versus naproxen. Pain reductions with tanezumab 10 mg versus naproxen did not reach significance, unlike functional (both studies) and global (1 study) outcomes; thus, tanezumab 10 mg was not superior to naproxen, and predefined statistical testing procedures were not met, allowing for conclusion of superiority of tanezumab 5 mg over naproxen despite replicated favorable coprimary outcomes. Tanezumab was associated with greater incidence of peripheral sensory adverse events (paresthesia, hyperesthesia, hypoesthesia, burning sensation), pain in extremity, peripheral edema, and arthralgia. Overall frequency and discontinuations as a result of adverse events were similar to placebo and naproxen. CONCLUSION: Tanezumab provides efficacious treatment of knee or hip OA and may have therapeutic utility in patients with OA who experience inadequate analgesia with nonsteroidal antiinflammatory drugs.
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.005 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".