Long-term outcomes of JIA-associated uveitis: a systematic review and meta-analysis
Bibliographic record
Abstract
BACKGROUND AND AIM: Juvenile idiopathic arthritis-associated uveitis (JIAU) is a potentially blinding condition beginning in childhood. Flare-ups may occur throughout life, leading to cumulative ocular damage. This systematic review aimed to summarise the latest evidence on long-term ocular damage in adults with JIAU, focusing on studies published in the past 20 years. METHODS: The review protocol was registered in PROSPERO (ID 1033522). We included human studies on JIAU with at least 5 years of follow-up and/or young people ≥18 years old, published after 2000. Study quality was assessed using the Newcastle-Ottawa Scale. We extracted the cumulative incidence of complications and performed a meta-analysis to obtain pooled estimates (PE), assess heterogeneity, sensitivity, robustness and reporting bias using R packages. RESULTS: 22 retrospective or cohort studies were eligible, encompassing 2208 long-term JIAU cases. Study quality was rated as good in 10, fair in 7 and poor in 5. Despite high heterogeneity (p<0.01), sensitivity analyses supported robustness. Evidence of reporting bias was found for severe visual impairment and cataract. The pooled incidence of severe visual impairment was 16.6% (95% CI 9.9% to 22.6%) at approximately 18 years. Cataract was the most frequent complication (PE 44.3% (95% CI 27.5% to 61.7%)), followed by glaucoma, synechiae, band keratopathy and hypotony. In cohorts with >50% biologic exposure, PE were numerically lower. CONCLUSION: Long-term prevalence and cumulative incidence of JIAU complications may persist in adulthood, with >10% developing severe visual impairment despite biologic therapy.
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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 | 0.014 | 0.032 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.019 | 0.043 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".