Methotrexate Dosage Reduction Upon Adalimumab Initiation: Clinical and Ultrasonographic Outcomes from the Randomized Noninferiority MUSICA Trial
Bibliographic record
Abstract
OBJECTIVE: To examine the clinical and ultrasonographic (US) outcomes of reducing methotrexate (MTX) dosage upon initiating adalimumab (ADA) in MTX-inadequate responders with moderately to severely active rheumatoid arthritis (RA). METHODS: MUSICA (NCT01185288) was a double-blind, randomized, parallel-arm study of 309 patients with RA receiving MTX ≥ 15 mg/week for ≥ 12 weeks before screening. Patients were randomized to high dosage (20 mg/week) or low dosage (7.5 mg/week) MTX; all patients received 40 mg open-label ADA every other week for 24 weeks. The primary endpoint was Week 24 mean 28-joint Disease Activity Score based on C-reactive protein (DAS28-CRP) to test for noninferiority of low-dosage MTX using a 15% margin. US images were scored using a 10-joint semiquantitative system incorporating OMERACT definitions for pathology, assessing synovial hypertrophy, vascularity, and bony erosions. RESULTS: Rapid improvement in clinical indices was observed in both groups after addition of ADA. The difference in mean DAS28-CRP (0.37, 95% CI 0.07-0.66) comparing low-dosage (4.12, 95% CI 3.88-4.34) versus high-dosage MTX (3.75, 95% CI 3.52-3.97) was statistically significant and non-inferiority was not met. Statistically significant differences were not detected for most clinical, functional, and US outcomes. Pharmacokinetic and safety profiles were similar. CONCLUSION: In MUSICA, Week 24 mean DAS28-CRP, the primary endpoint, did not meet non-inferiority for the low-dosage MTX group. Although the differences between the 2 MTX dosage groups were small, our study findings did not support routine MTX reduction in MTX inadequate responders initiating ADA.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| 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".