Juvenile Spondyloarthritis Disease Activity Index Validation in Enthesitis-Related Arthritis and Juvenile Psoriatic Arthritis in a Prospective Clinical Trial Setting
Bibliographic record
Abstract
Objective To investigate the validity of the Juvenile Spondyloarthritis Disease Activity Index (JSpADA) in children with enthesitis-related arthritis (ERA) or juvenile psoriatic arthritis (jPsA) in a prospective clinical trial setting. Methods JUNIPERA ( ClinicalTrials.gov : NCT03031782 ) is a phase III, placebo-controlled withdrawal study investigating the safety and efficacy of secukinumab in children with ERA and jPsA. After 12 weeks of open-label treatment with secukinumab, patients were randomized 1:1 to secukinumab or placebo until disease flare or week 52. JSpADA validity was assessed using 3 criteria: convergent validity (Spearman correlation) at week 12 with the Juvenile Arthritis Disease Activity Score in 10 joints (JADAS10), clinical JADAS10 (cJADAS10), and physician global assessment of disease activity (PGA); discriminatory validity at week 12 among patients with active or inactive disease and juvenile idiopathic arthritis American College of Rheumatology response criteria; and responsiveness to change in clinical disease activity from weeks 12 to 52. Results At week 12, mean (SD) JSpADA scores showed moderate to good correlation with JADAS10, cJADAS10, and PGA scores (all Spearman ρ > 0.4) and were higher among patients with active vs inactive disease (1.8 [1.3] vs 0.5 [0.8], P < 0.001). Patients with improved disease activity from weeks 12 to 52 had greater improvements in JSpADA than patients with worsening disease (−0.8 [1.1] vs 0.4 [1.0], P < 0.001); patients with stable disease had minimal change in JSpADA (−0.1 [0.5]). Validity results were similar for ERA and jPsA. Conclusion These results validate JSpADA as a disease activity measure for children with ERA and jPsA in a prospective clinical trial setting.
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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 | 0.062 | 0.041 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".