Clinical Remission in Patients with Systemic Juvenile Idiopathic Arthritis Treated with Anti-Tumor Necrosis Factor Agents
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Bibliographic record
Abstract
OBJECTIVE: To assess the frequency of clinical remission in a cohort of patients with systemic juvenile idiopathic arthritis (JIA) who received continuous anti-tumor necrosis factor (TNF) therapy; and to identify potential predictors of remission. METHODS: Patients with systemic JIA who were treated with anti-TNF agents for > 6 months were studied. Demographic and nosologic variables recorded at the start of anti-TNF therapy were analyzed. Association between early variables and occurrence of remission was evaluated through Cox proportional hazard regression analysis. RESULTS: Forty-five patients were included (30 girls), median age 9 years (range 2-17 yrs), age at disease onset 5 years (range 0.5-15), disease duration 3 years (range 0.5-13). Twenty-one (47%) children showed systemic symptoms at the start of anti-TNF therapy. Patients received therapy for 24 months (range 6-88): 45 (100%) were given etanercept, 17 (38%) infliximab, and 5 (11%) adalimumab, in combination with methotrexate. Anti-TNF switching was performed in 22 (49%) children. Eleven (24%) met definition criteria for remission while taking etanercept (n = 8), infliximab (2), or adalimumab (1). Remission occurred following 26 (range 9-65) months of therapy. Flares occurred in 5 (45%) patients 2 to 14 months after remission was first recorded. Absence of systemic symptoms at the start of therapy and fulfillment of improvement criteria at Month 3 were associated with remission in univariate analysis; no variable showed any association in multivariate analysis. CONCLUSION: Twenty-four percent of patients with systemic JIA experienced remission with anti-TNF therapy, but only 13% experienced sustained benefit.
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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 | 0.001 | 0.000 |
| 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 | 0.001 |
| 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 it