Effect of rofecoxib therapy on measures of health-related quality of life in patients with osteoarthritis.
Bibliographic record
Abstract
BACKGROUND: Bodily pain and physical disability can negatively impact health-related quality of life (HRQL) in patients with osteoarthritis (OA). OBJECTIVE: To assess the effects of treatment with a new agent, rofecoxib, on HRQL in patients with OA. STUDY DESIGN: Randomized, double-blind, 6-week clinical trial comparing treatment with rofecoxib, 5 to 50 mg, with placebo in 672 patients with OA of the hip or knee. MAIN OUTCOME MEASURE: Patient HRQL was assessed at baseline and at the end of treatment using the Medical Outcomes Study 36-Item Short-Form Health Survey (SF-36). RESULTS: At 6 weeks, mean change from baseline in all SF-36 mental and physical health domain scores demonstrated significant improvement with rofecoxib use (P < .05 for all doses for all SF-36 domains), with evidence of a dose-response relation. Improvements in mental and physical HRQL domains with rofecoxib treatment were significantly greater than those with placebo treatment (P < .05 for each dose of rofecoxib vs placebo for all domains except general health) and highly correlated with improvements observed using disease-specific OA outcome measures such as the Western Ontario and McMaster Universities Osteoarthritis Index-visual Analog 3.0 OA index pain and physical function subscales. The effect of rofecoxib vs placebo treatment on mental health largely disappeared after adjustment for improvement in OA disease-specific measures. CONCLUSIONS: Rofecoxib treatment increased physical and mental HRQL domain scores on the SF-36. Improvements in mental health with rofecoxib use primarily resulted from effective treatment of OA (i.e., reduction in pain and improvement in physical function).
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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 | 0.003 | 0.001 |
| 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".