Tocilizumab for Rheumatoid Arthritis: A Cochrane Systematic Review
Bibliographic record
Abstract
OBJECTIVE: to compare the benefit and safety of tocilizumab to placebo in patients with rheumatoid arthritis (RA). METHODS: we searched multiple databases for published randomized or controlled clinical trials comparing benefit and safety of tocilizumab to placebo, disease-modifying antirheumatic drugs (DMARD), or other biologics. For dichotomous outcomes, we calculated the relative risk, and for continuous outcomes, the mean difference. RESULTS: eight randomized controlled trials were included in this systematic review, with 3334 participants, 2233 treated with tocilizumab and 1101 controls. The US and Canadian approved dose of tocilizumab, 8 mg/kg every 4 weeks, was given to 1561 participants. In patients taking concomitant methotrexate, compared to placebo, patients treated with approved dose of tocilizumab were substantially and statistically significantly more likely than placebo to achieve the American College of Rheumatology 50 (absolute percentage, 38.8% vs 9.6%, respectively; RR 3.2, 95% CI 2.7, 3.7); Disease Activity Score remission (30.5% vs 2.7%; RR 8.7, 95% CI 6.3, 11.8); and a clinically meaningful decrease in Health Assessment Questionnaire (HAQ)/Modified HAQ scores (60.5% vs 34%; RR 1.8, 95% CI 1.6, 1.9). There were no substantive statistically significant differences in serious adverse effects (0.8% vs 0.7%; RR 1.2, 95% CI 0.8, 1.6) or withdrawals due to adverse events (4.9% vs 3.7%; RR 1.4, 95% CI 0.9, 2.1); however, tocilizumab-treated patients were significantly more likely to have any adverse event (74% vs 65%; RR 1.05, 95% CI 1.03, 1.07); elevation in the ratio of low-density lipoprotein to high-density lipoprotein cholesterol (HDL; 20% vs 12%; RR 1.7, 95% CI 1.2, 2.2); and increase in the ratio of total to HDL cholesterol (12% vs 7%; RR 1.7, 95% CI 1.2, 2.6); and they were less likely to withdraw from treatment for any reason (8.1% vs 14.9%; RR 0.6, 95% CI 0.5, 0.8). CONCLUSION: at the approved dose of 8 mg/kg every 4 weeks, tocilizumab in combination with methotrexate/DMARD is beneficial in decreasing RA disease activity and improving function. Tocilizumab treatment was associated with a significant increase in cholesterol levels and occurrence of any adverse event, but not serious adverse events. Larger safety studies are needed to address these safety concerns.
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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 | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.011 | 0.008 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".