Long-term outcomes and disease course of children with juvenile idiopathic arthritis in the ReACCh-Out cohort: a two-centre experience
Bibliographic record
Abstract
OBJECTIVE: To assess long-term outcomes of children with JIA diagnosed in the biologic era. METHODS: Chart review of patients prospectively enrolled in the Research in Arthritis in Canadian Children Emphasizing Outcomes inception cohort at two Canadian centres. Inactive disease and remission were defined according to Wallace criteria. RESULTS: We included 247 of 254 (97%) eligible patients diagnosed 2005-10. At the last follow-up visit at a median age of 16.9 years, 47% were in remission off medications, 25% in remission on medications and 27% had active disease; 51% were on at least one anti-rheumatic medication (22% on biologics). Patients with systemic JIA had the highest frequency of remission off medications (70%) and patients with RF-positive polyarthritis had the lowest (18%) (P <0.05 by Fisher's exact test). Among 99 patients with oligoarthritis at enrolment, 14 (14%) had an oligoarthritis extended course. Forty-five patients (18%) had at least one erosion or joint space narrowing in X-rays or MRI, and two (0.8%) required joint replacement. CONCLUSION: Relative to historical cohorts, this study suggests a reduction in JIA permanent damage, a more favourable prognosis for systemic JIA and a lower progression to oligoarthritis extended category. However, in an era of biologic therapy, one in four patients with JIA still enter adulthood with active disease and one in two still on treatment.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".