Benefits of Methotrexate Use on Cardiovascular Disease Risk Among Rheumatoid Arthritis Patients Initiating Biologic Disease-modifying Antirheumatic Drugs
Bibliographic record
Abstract
OBJECTIVE: Methotrexate (MTX) has been associated with reduced risk for cardiovascular disease (CVD) events among patients with rheumatoid arthritis (RA) not exposed to biologic disease-modifying antirheumatic drugs (bDMARDs). The effect of concomitant MTX on CVD risk among RA patients initiating bDMARDs remains unknown. METHODS: A retrospective cohort study was conducted to assess the effect of MTX on CVD risk using 2006-2015 Medicare claims data for patients with RA initiating bDMARD. The main exposure was current use of MTX, updated in a time-varying fashion. The primary outcome was a composite of incident myocardial infarction (MI), stroke, and fatal CVD. Secondary outcomes were each event that comprised the primary outcome. Incidence rates (IR) and 95% CI were calculated using Poisson regression. Associations between MTX and risk of CVD were assessed using Cox regression. RESULTS: A total of 88,255 bDMARD initiations and 1861 CVD events were included in this study. Mean age was 64.6 (12.3) years, 84.0% were female, and 68.2% were non-Hispanic White. The crude IRs (95% CI) for CVD were 17.9 (16.9-18.8) and 12.1 (11.1-13.2) per 1000 patient-years among MTX unexposed and exposed, respectively. The multivariable adjusted HR (95% CI) for CVD events associated with MTX was 0.76 (0.68-0.85). Multivariable adjusted HRs were 0.78 (0.66-0.91), 0.74 (0.62-0.88), 0.77 (0.68-0.86), and 0.82 (0.73-0.93) for MI, stroke, MI or stroke, and a composite CVD outcome, respectively. Results were robust in sensitivity and subgroup analyses. CONCLUSION: Among patients with RA receiving biologics, concomitant MTX use was associated with a 24% lower risk for CVD events.
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".