Efficacy of certolizumab pegol across baseline rheumatoid factor subgroups in patients with rheumatoid arthritis: Post‐hoc analysis of clinical trials
Bibliographic record
Abstract
AIM: Certolizumab pegol (CZP), an Fc-free, PEGylated tumor necrosis factor inhibitor (TNFi), has shown rapid and sustained reduction in signs and symptoms of rheumatoid arthritis (RA). Elevated rheumatoid factor (RF) level has been associated with RA disease progression and poorer TNFi response. We assessed the efficacy of CZP in patients with early and established RA across baseline RF levels. METHODS: This post-hoc analysis included data from 6 trials: C-OPERA (NCT01451203), pooled RAPID trials (RAPID-1 [NCT00152386], RAPID-2 [NCT00160602], J-RAPID [NCT00791999], RAPID-C [NCT02151851]), and EXXELERATE (NCT01500278). Patients who received CZP or placebo/comparator with methotrexate (MTX) were categorized by baseline RF quartiles. Efficacy was assessed with Disease Activity Score-28 erythrocyte sedimentation rate (DAS28-ESR). RESULTS: Overall, 316, 1537, and 908 patients were included in C-OPERA, pooled RAPID trials, and EXXELERATE, respectively. Patient demographics and baseline disease characteristics were similar between treatment groups and across RF quartiles. DAS28-ESR low disease activity (LDA) and remission (REM) rates were numerically higher in the CZP + MTX group than PBO + MTX group at weeks 12 and 24, across RF quartiles. LDA and REM rates in the CZP + MTX groups were comparable across RF quartiles at weeks 12 and 24. Mean DAS28-ESR decreased from week 0 to week 24 in the CZP + MTX groups, across RF quartiles. CONCLUSION: CZP showed steady efficacy across baseline RF quartiles in patients with early and established RA, over 24 weeks. CZP treatment may be considered in patients with RA irrespective of baseline RF levels and time from diagnosis.
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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 | 0.002 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".