Anakinra, a recombinant human interleukin‐1 receptor antagonist (r‐metHuIL‐1ra), in patients with rheumatoid arthritis: A large, international, multicenter, placebo‐controlled trial
Bibliographic record
Abstract
OBJECTIVE: To evaluate the safety of anakinra (a recombinant human interleukin-1 receptor antagonist) in a large population of patients with rheumatoid arthritis (RA), typical of those seen in clinical practice. METHODS: A total of 1,414 patients were randomly assigned to treatment with 100 mg of anakinra or placebo, administered daily by subcutaneous injection. Background medications included disease-modifying antirheumatic drugs, corticosteroids, and nonsteroidal antiinflammatory drugs, alone or in combination. The primary end point was safety, which was evaluated by adverse events (including infections), discontinuation from study due to adverse events, and death. RESULTS: Safety was evaluated in 1,399 patients (1,116 in the anakinra group and 283 in the placebo group; 15 patients were randomized but did not receive any study drug) during the initial 6-month, double-blind, placebo-controlled phase of this long-term safety study. Baseline demographics, disease characteristics, and concomitant medications were similar between the 2 groups. The study group included patients with numerous comorbid conditions and a wide range of RA disease activity. Serious adverse events occurred at a similar rate in the anakinra group and the placebo group (7.7% and 7.8%, respectively). Serious infectious episodes were observed more frequently in the anakinra group (2.1% versus 0.4% in the placebo group). The rate of withdrawal due to adverse events was 13.4% in the anakinra group and 9.2% in the placebo group. CONCLUSION: Results from this large, placebo-controlled safety study demonstrate that anakinra is safe and well tolerated in a diverse population of patients with RA, including those with comorbid conditions and those using multiple combinations of concomitant therapies. Although the frequency of serious infection was slightly higher in the anakinra group, no infection was attributed to opportunistic microorganisms or resulted in death.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".