Clinical outcomes of patients with rheumatoid arthritis after switching from infliximab to etanercept.
Bibliographic record
Abstract
OBJECTIVE: To assess the efficacy and monitor serious adverse events in patients with rheumatoid arthritis (RA) switching treatment from infliximab to etanercept. METHODS: Adult patients with active RA who were discontinuing treatment with infliximab were eligible to enroll in this prospective, 12-week, open label, single-arm, observational study. Four to 10 weeks after their last infusion of infliximab, patients began treatment with etanercept (twice weekly subcutaneous injections of 25 mg). Clinical assessments using the American College of Rheumatology (ACR) criteria for improvement were performed at baseline and at Weeks 6 and 12, and serious adverse events were monitored throughout the study. RESULTS: Twenty-five patients were enrolled, 18 of whom had discontinued infliximab because of lack of efficacy, and 22 completed 12 weeks of etanercept treatment. After 12 weeks, 14 of 22 patients (64%) achieved at least a 20% improvement in ACR criteria (ACR20), 13 (59%) experienced improvements in physical function that were considered clinically important (> or = 0.22 point decrease in overall Health Assessment Questionnaire score), and mean values of all individual components of the ACR criteria had improved. No serious adverse events were reported during the study and no patient discontinued because of lack of efficacy. CONCLUSION: Etanercept, a soluble tumor necrosis factor (TNF) receptor, provided a well tolerated and effective treatment option for some patients even when infliximab, a monoclonal antibody to TNF, had been ineffective.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".