Effectiveness and Safety of High‐Dose Biologics in Juvenile Idiopathic Arthritis in the Childhood Arthritis and Rheumatology Research Alliance
Bibliographic record
Abstract
OBJECTIVE: To describe high-dose biologic use when treating juvenile idiopathic arthritis (JIA). METHODS: Patients with JIA enrolled in the Childhood Arthritis and Rheumatology Research Alliance Registry and treated with a biologic after enrollment were eligible. We described the frequency of high-dose biologic use and characteristics of patients receiving high-dose biologics. We used regression modeling to compare 6-month outcomes (using disease activity measures) between those who increased their biologic from standard to high dose (high-dose group) to those who initiated and remained on standard dosing (no-change group), and to those who switched biologic agents (biologic-switch group). We also compared serious adverse events (SAEs) between groups. RESULTS: A total of 5,352 patients with JIA were treated with biologics following enrollment; 1,080 (20%) had ever received a high-dose biologic. There were no significant differences in outcomes between the high-dose group and the biologic-switch group; both improved disease activity measures, including the clinical Juvenile Arthritis Disease Activity Score 10 (-3.53 and -3.95, respectively; P = 0.68). Although the SAE rates in the high-dose group and the biologic-switch group were numerically higher than the no-change group, the event rates were similar, and neither rate was significantly higher than in the no-change group (unadjusted incident rate ratio 2.5 [95% confidence interval (95% CI) 0.7-8.5] and 1.8 [95% CI 0.7-4.6], respectively). CONCLUSION: Dosing escalation appears to be a reasonable choice to improve disease control, but large, prospective, randomized studies evaluating specific biologic agents are needed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.003 |
| 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 teacher head, 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".