Tocilizumab Monotherapy Reduces Arterial Stiffness as Effectively as Etanercept or Adalimumab Monotherapy in Rheumatoid Arthritis: An Open-label Randomized Controlled Trial
Bibliographic record
Abstract
OBJECTIVE: To compare the respective effects of tocilizumab (TCZ) monotherapy, etanercept (ETN) monotherapy, and adalimumab (ADA) monotherapy on arterial stiffness in patients with rheumatoid arthritis (RA) in an open-label, randomized controlled trial. METHODS: Patients with RA were eligible if they had active disease (28-joint Disease Activity Score > 3.2) and no prior treatment with methotrexate or biologics. All 64 patients had no history of cardiovascular disease or steroid treatment. Patients were randomly assigned to receive TCZ alone (n = 22), ETN alone (n = 21), or ADA alone (n = 21). Arterial stiffness was assessed with cardio-ankle vascular index (CAVI) and aortic augmentation index normalized to a fixed heart rate of 75 bpm (AIx@75) at baseline and 24 weeks' followup. Clinical data were collected at regular visits. RESULTS: The characteristics of each group at baseline were not significantly different. In all groups there was significant attenuation from baseline to 24 weeks in CAVI (Week 0-Week 24, TCZ: 0.85 ± 0.15 m/s, p = 0.02; ETN: 0.81 ± 0.18 m/s, p = 0.03; ADA: 0.90 ± 0.21 m/s, p = 0.02) and in AIx@75. There were no significant differences among the groups in measures of CAVI or AIx@75. The 3 therapies made no difference to carotid intima-media thickness and carotid artery plaque. Only TCZ increased fasting serum total cholesterol from baseline to 24 weeks. CONCLUSION: The 3 types of monotherapy limited arterial stiffness in patients with RA to a similar extent.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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 teacher head, 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".