A13: The Research in Arthritis in Canadian Children Emphasizing Outcomes (ReACCh Out) Cohort: Prospective Determination of the Incidence of New Onset Uveitis in Juvenile Idiopathic Arthritis
Bibliographic record
Abstract
Background/Purpose: Previous studies of uveitis in Juvenile Idiopathic Arthritis (JIA) patients have reported prevalence and not incidence. The ReACCh Out cohort, a large inception cohort of newly diagnosed JIA patients provided the opportunity to prospectively ascertain the true incidence of new onset uveitis. The objectives of this study were to determine the overall incidence rate and its trajectory over time. Methods: ReACCh Out recruited newly diagnosed JIA patients between January 2005 and December 2010, from 16 Canadian centres across the country. Prospective data was collected every 6 months for the first 2 years, then yearly. Data was collected on numerous clinical and laboratory measures including the diagnosis of uveitis and its complications, determined by an ophthalmologist. A Poisson model was used to estimate the overall incidence rate. A Kaplan‐Meier plot was used to evaluate the time from diagnosis of JIA to the time of diagnosis of new onset uveitis. Results: 1104 patients with newly diagnosed (≤6 months) JIA with ≥1 follow‐up visit were reviewed. Patients were predominantly female (63%), age at diagnosis was 9.3 (3.9, 13.0) years. Time from diagnosis to enrollment was 0.3 (0, 1.6) months. Follow‐up to last visit or study end was 34.2 (21.5, 48) months. 23 patients whose uveitis status was not available, were excluded. 77 patients with new onset uveitis were identified during the study period. The overall incidence rate of new cases of uveitis following the diagnosis of JIA was 2.9% per year (95% confidence interval 2.3–3.6). Following the trajectory of new cases of uveitis over time, the incidence of new cases showed a slow decline over time (Figure ). Importantly, new cases of uveitis occurred as far out from diagnosis as the end of the study period. Kaplan‐Meier plots were also used to evaluate age at diagnosis of new onset uveitis and gender. Results support previously identified risk factors for uveitis including younger age (<5 years) and female gender. The frequency of uveitis occurred in the JIA patients in the following distribution according to subtype: oligoarthritis (43, 56%), polyarthritis RF negative (18, 23%), polyarthritis RF positive (1, 1%), psoriatic (4, 5%), ERA (1, 1%), systemic (1, 1%) and undifferentiated (9, 12%). Time (confidence intervals) from diagnosis of JIA to diagnosis of new onset uveitis image Conclusion: In a large inception cohort of newly diagnosed JIA patients followed prospectively, the overall incidence rate of new cases of uveitis was 2.9% per year. The slow decrease in incidence over time and the development of new cases of uveitis years later, highlight the importance of ongoing and long term surveillance.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".