Longterm Safety and Effectiveness of the Anti-interleukin 6 Receptor Monoclonal Antibody Tocilizumab in Patients with Systemic Juvenile Idiopathic Arthritis in Japan
Bibliographic record
Abstract
OBJECTIVE: To assess the longterm safety and effectiveness of tocilizumab (TCZ) in systemic-onset juvenile idiopathic arthritis (sJIA). METHODS: The longterm extension phase of 2 pivotal studies (phase II with 11 patients and phase III with 56 patients) in patients with active sJIA was analyzed. Patients received open-label TCZ (8 mg/kg, every 2 weeks) without concomitant use of disease-modifying antirheumatic drugs. RESULTS: In total, 67 patients were enrolled. All patients received corticosteroid at baseline. Median duration of exposure to TCZ was 3.4 years. Nine patients withdrew from the study [4 because of adverse events (AE), 4 because of the development of anti-TCZ antibodies, and 1 because of inadequate response]. Rates of AE and serious AE were 803.7/100 patient-years (PY) and 34.7/100 PY, respectively. The most common serious AE were infections (13.2/100 PY). No cases of malignancy or death were reported. Two serious infusion reactions were reported in patients testing negative for anti-TCZ antibodies. One definite macrophage activation syndrome (MAS) case and 1 potential MAS case were identified. American College of Rheumatology (ACR) response rates attained early in the TCZ treatment period were maintained throughout the study: at Week 168, JIA ACR 30, 50, 70, 90, and 100 response rates were 80.3%, 80.3%, 75.4%, 60.7%, and 18.0%, respectively. In total, 22 of 67 patients (32.8%) completely discontinued corticosteroids without flare. CONCLUSION: TCZ has demonstrated durability of effectiveness in the longterm treatment of children with sJIA and has shown good tolerability and a low discontinuation rate associated with AE, development of anti-TCZ antibodies, or inadequate response. (ClinicalTrials.gov NCT00144599 and NCT00144612). (First Release March 15 2014; J Rheumatol 2014;41:759-67; doi:10.3899/jrheum.130690).
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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 | 0.001 | 0.001 |
| 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 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".