Effect of Treat-to-target Strategies Aiming at Remission of Arterial Stiffness in Early Rheumatoid Arthritis: A Randomized Controlled Study
Bibliographic record
Abstract
OBJECTIVE: To determine the efficacy of 2 tight control treatment strategies aiming at Simplified Disease Activity Score (SDAI) remission (SDAI ≤ 3.3) compared to 28-joint count Disease Activity Score (DAS28) remission (DAS28 < 2.6) in the prevention of arterial stiffness in patients with early rheumatoid arthritis (RA). METHODS: This was an open-label study in which 120 patients with early RA were randomized to receive 1 year of tight control treatment. Group 1 (n = 60) aimed to achieve SDAI ≤ 3.3 and Group 2 (n = 60), DAS28 < 2.6. Pulse wave velocity (PWV) and augmentation index (AIx) were measured at baseline and 12 months. A posthoc analysis was also performed to ascertain whether achieving sustained remission could prevent progression in arterial stiffness. RESULTS: The proportions of patients receiving methotrexate monotherapy were significantly lower in Group 1 throughout the study period. At 12 months, the proportions of patients achieving DAS28 and SDAI remission, and the change in PWV and AIx, were comparable between the 2 groups. In view of the lack of differences between the 2 groups, a posthoc analysis was performed at Month 12, including all 110 patients with PWV, to elucidate the independent predictors associated with the change in PWV. Multivariate analysis revealed that achieving sustained DAS28 remission at months 6, 9, and 12 and a shorter disease duration were independent explanatory variables associated with less progression of PWV. CONCLUSION: With limited access to biologic disease-modifying antirheumatic drugs, treatment efforts toward DAS28 and SDAI remission had similar effects in preventing the progression of arterial stiffness at 1 year. However, achieving sustained DAS28 remission was associated with a significantly greater improvement in PWV. [Clinical Trial registration: Clinicaltrial.gov NCT01768923.].
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 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".