A Prospective Study Comparing Celecoxib with Naproxen in Children with Juvenile Rheumatoid Arthritis
Bibliographic record
Abstract
OBJECTIVE: To compare the efficacy and safety of celecoxib and naproxen in children with juvenile rheumatoid arthritis (JRA). METHODS: In this multicenter, randomized, double-blind, noninferiority study, subjects with JRA were randomized to receive a target dose of celecoxib 3 mg/kg bid or 6 mg/kg bid, or a target dose of naproxen 7.5 mg/kg bid for 12 weeks (maximum allowed dose=600 mg total daily dose). The primary efficacy measure was the percentage of responders at Week 12 attaining the American College of Rheumatology pediatric 30% improvement criterion (ACR Pediatric-30). RESULTS: Both celecoxib doses were at least as effective as naproxen at Week 12 [ACR Pediatric-30 treatment differences: celecoxib 3 mg/kg bid-naproxen=1.36% (95% CI -13.08 to 15.80); celecoxib 6 mg/kg bid-naproxen=13.02% (95% CI -0.22 to 26.25)]. Celecoxib 6 mg/kg bid had a numerically higher response rate than celecoxib 3 mg/kg bid at all postrandomization visits and a numerically higher response rate than naproxen 7.5 mg/kg bid at Weeks 4, 8, and 12. Improvement in each ACR Pediatric-30 core set measure was comparable to or numerically higher for celecoxib 6 mg/kg bid than naproxen or celecoxib 3 mg/kg bid. Adverse event rates were similar for all treatment groups, except that gastrointestinal adverse events were more common in the naproxen group, although the difference was not statistically significant. CONCLUSION: Celecoxib 3 mg/kg bid and 6 mg/kg bid were at least as effective as naproxen 7.5 mg/kg bid in treating the signs and symptoms of JRA over 12 weeks. All treatments were generally well tolerated.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".