Efficacy and safety of nonsteroidal anti‐inflammatory drugs in Asian patients with knee osteoarthritis: summary of a randomized, placebo‐controlled study
Bibliographic record
Abstract
AIM: To compare the efficacy, tolerability and safety of celecoxib, naproxen and placebo in Asian patients with osteoarthritis (OA) of the knee. METHOD: Patients of Asian descent with knee OA, aged ≥ 45 years, in a flare state with a functional capacity classification of I-III, received celecoxib 200 mg once daily, naproxen 500 mg twice daily or placebo, for 6 weeks. The change in Patient's Assessment of Arthritis Pain (week 6 vs. baseline) was the primary endpoint. Secondary endpoints, including Patient's and Physician's Global Assessments of Arthritis, Western Ontario and McMaster Universities OA Index (WOMAC), use of complementary and alternative medicines, incidence of treatment-emergent adverse events (TEAEs) and measurements of upper gastrointestinal tolerability, were also assessed. RESULTS: Three hundred and sixty-seven patients were randomized: 145 to celecoxib, 144 to naproxen and 78 to placebo. Celecoxib was as effective as naproxen in reducing OA pain (least squares mean change from baseline in visual analogue scale score [standard error] -37.1 [2.0] for celecoxib and -37.5 [2.0] for naproxen). Patient's and Physician's Global Assessment of Arthritis, WOMAC scores, Pain Satisfaction Scale and Patient Health Questionnaire-9 showed statistically significant improvement in active treatment groups versus placebo, with the exception of naproxen WOMAC scores. Treatment-related TEAEs occurred in 19 (13%), 34 (24%) and six (8%) patients in the celecoxib, naproxen and placebo groups, respectively. CONCLUSION: Celecoxib and naproxen were comparable in their effects to reduce the signs and symptoms of knee OA in Asian patients. Celecoxib was shown to be safe and well tolerated in this patient population.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".