Comparison of Certolizumab Pegol with Other Anticytokine Agents for Treatment of Rheumatoid Arthritis: A Multiple-treatment Bayesian Metaanalysis
Bibliographic record
Abstract
OBJECTIVE: To compare the clinical efficacy of certolizumab pegol (CZP) with that of other anticytokine agents indicated for the treatment of rheumatoid arthritis (RA) with identical therapeutic indication (anti-tumor necrosis factor-α, anti-interleukin 1 or 6), with the objective of determining the noninferiority of CZP. METHODS: A systematic review was performed to identify randomized controlled trials that assessed the efficacy of anticytokine agents in combination with conventional disease-modifying antirheumatic drugs (DMARD) after 6 months of treatment, using the American College of Rheumatology (ACR) response criteria, in patients with RA who have shown inadequate response to DMARD including methotrexate. Indirect treatment comparisons were carried out by a multiple-treatment Bayesian random-effects metaanalysis. Data were analyzed using the Markov chain Monte Carlo simulation. Noninferiority of CZP was assessed in comparison with a predefined equivalence margin of 5%. RESULTS: Nineteen placebo-controlled studies were identified: 14 evaluated the efficacy of 5 anti-TNF-α agents (infliximab, etanercept, adalimumab, golimumab, CZP) and 5 evaluated efficacy of 2 anti-interleukin agents (anakinra, tocilizumab). Every treatment showed significant efficacy versus placebo in individual studies. The multiple-treatment metaanalysis showed a highest OR for CZP on ACR20 response. Metaanalysis indicates that the efficacy of CZP according to ACR20 response is superior to that of infliximab, adalimumab, and anakinra, and equivalent or superior to that of etanercept, golimumab, and tocilizumab. According to ACR50 response, the efficacy of CZP is equivalent or superior to that of all other anticytokines. CONCLUSION: Results of this original multiple-treatment Bayesian metaanalysis indicate that certolizumab pegol is at least as efficacious as the preexisting antirheumatic anticytokine biotherapies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.053 | 0.061 |
| Meta-epidemiology (narrow) | 0.005 | 0.002 |
| Meta-epidemiology (broad) | 0.025 | 0.082 |
| Bibliometrics | 0.008 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| 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 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".