Overweight, Obesity, and the Likelihood of Achieving Sustained Remission in Early Rheumatoid Arthritis: Results From a Multicenter Prospective Cohort Study
Bibliographic record
Abstract
Objective Obesity is implicated in rheumatoid arthritis (RA) development, severity, outcomes, and treatment response. We estimated the independent effects of overweight and obesity on ability to achieve sustained remission (sREM) in the 3 years following RA diagnosis. Methods Data were from the Canadian Early Arthritis Cohort, a multicenter observational trial of early RA patients treated by rheumatologists using guideline‐based care. sREM was defined as Disease Activity Score in 28 joints (DAS28) <2.6 for 2 consecutive visits. Patients were stratified by body mass index (BMI) as healthy (18.5–24.9 kg/m2), overweight (25–29.9 kg/m2), and obese (≥30 kg/m2). Cox regression was used to estimate the effect of the BMI category on the probability of achieving sREM over the first 3 years, controlling for age, sex, race, education, RA duration, smoking status, comorbidities, baseline DAS28, Health Assessment Questionnaire disability index, C‐reactive protein level, and initial treatment. Results Of 982 patients, 315 (32%) had a healthy BMI, 343 (35%) were overweight, and 324 (33%) were obese; 355 (36%) achieved sREM within 3 years. Initial treatment did not differ by BMI category. Compared to healthy BMI, overweight patients (hazard ratio [HR] 0.75 [95% confidence interval (95% CI) 0.58–0.98]) and obese patients (HR 0.53 [95% CI 0.39–0.71]) were significantly less likely to achieve sREM. Conclusion Rates of overweight and obesity were high (69%) in this early RA cohort. Overweight patients were 25% less likely, and obese patients were 47% less likely, to achieve sREM in the first 3 years, despite similar initial disease‐modifying antirheumatic drug treatment and subsequent biologic use. This is the largest study demonstrating the negative impact of excess weight on RA disease activity and supports a call to action to better identify and address this risk in RA patients.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".