Efficacy and safety of tocilizumab (TCZ) in patients with systemic juvenile idiopathic arthritis (sJIA): TENDER 52-week data
Bibliographic record
Abstract
Patients (N=112) 2–17 yrs with active sJIA for ≥6 mo and inadequate response to corticosteroids (CS) and NSAIDs were randomized 2:1 to TCZ (8 mg/kg if body weight ≥30 kg; 12 mg/kg if <30 kg) or placebo (control) every 2 wks for 12 wks in part 1; all patients received open-label TCZ at 8 or 12 mg/kg per body weight in part 2. Patients who escaped to open-label TCZ in part 1 also entered part 2. Oral CS tapering was permitted at wks 6 and 8 in part 1 and in the open-label extension in patients with ACR70 response, ESR <20 mm/h, and no fever. Efficacy data are presented for patients who had reached wk 52 of TCZ treatment by May 10, 2010 (n=88); safety data through May 10, 2010 are presented for all patients (n=112). Wk 52 baseline was the first TCZ dose; part 1 placebo patients were re-baselined when they escaped or entered part 2. Proportions of TCZ patients who achieved JIA ACR30 + absence of fever or JIA ACR70/90 progressively improved from wk 12 to wk 52 (Table). Number (mean±SD) of joints with active arthritis or with limited range of motion decreased from 19.8±15.7 and 19.8±15.6, respectively, at baseline to 3.0±7.0 and 7.5±11.7, respectively, at wk 52, with 45% of patients having 0 active joints. At baseline, 55% of patients (n=62) had fever (temperature ≥37.5°C in the preceding 14 days), while at wk 52 only 9% (n=8) had fever. From baseline to wk 52, improvement in the scores was: CHAQ-DI from 1.7±0.9 to 0.7±0.8; physician global assessment VAS from 64.9±22.3 to 9.7±12.8, and patient/parent global assessment VAS from 58.7±24.4 to 12.6±18.5. There was a marked reduction in CS dose from 0.30±0.20 mg/kg/d at baseline to 0.06±0.08 at wk 52, with 48% having discontinued CS. There were 33 serious AEs (SAEs) in 25 patients; 12 SAEs were considered related (remote, possible, or probable) to TCZ (SAE rate: 0.23/patient year [PY] in part 1, 0.25/PY in part 2). Among the 15 serious infections, 6 were considered related to TCZ; all resolved and none led to study discontinuation. Twelve patients withdrew: 4 because of AEs; 4 because of insufficient response, 3 withdrew consent or did not return, and 1 died of a suspected tension pneumothorax unrelated to treatment. Year 1 results from this first global phase 3 study demonstrate that TCZ is highly effective and generally well tolerated in patients with sJIA.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 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".