Post

New research · Infectious Disease
Ocular immunology and inflammation · 3h
Meta-analysisOcular immunology and inflammation · 2026

Epidemiological Characterization of Uveitis in Pediatric Population: A Systematic Review and Meta Analysis.

Tom Liba, Amit Olami, Michael Brant … Yael Sharon
Read paper
Infectious DiseaseMeta-analysis

Idiopathic uveitis is the most common diagnosis in children with uveitis.

Epidemiological Characterization of Uveitis in Pediatric Population: A Systematic Review and Meta Analysis.

Tom Liba et al. · Ocular immunology and inflammation · 2026
Background

Pediatric uveitis is a leading cause of visual impairment, often resulting in severe complications without timely and appropriate intervention.

Purpose

To identify prevalent causes of pediatric uveitis, assess geographic variations, and evaluate demographic patterns.

Methods

Retrospective cohort and cross-sectional studies reporting pediatric uveitis etiology were included.

39.71%
Results
this is the percentage of children with eye inflammation whose cause is unknown
More results

Data were pooled using a random-effects model, with heterogeneity assessed via I 2 statistics.

Out of a total of 8,974 studies initially considered, only 30 met the criteria for inclusion.

More results

Juvenile idiopathic arthritis (JIA)-associated uveitis was most prevalent (15.59%, 95% CI: 11.92-20.14%) of all cases and was the leading defined non-infectious cause, Behçet's disease (4.8%) and Vogt-Koyanagi-Harada disease (3.63%) of all cases.

“
Conclusion

Standardizing diagnostic criteria can help reduce the burden of pediatric uveitis worldwide.

Read paper
0 comments

No comments yet. Be the first.

Related papers

LatestFoundational
AI / Informatics
0.877
The o1 large language model correctly answered 87.7% of ophthalmology questions.
Review
19.5%
Sarcoidosis is the most common systemic condition associated with uveitis in Hokkaido.
Cohort Study
RR, 0.91
Black patients were less likely to start medication for their eye condition
Case-control
0 of 28
distinct structural changes were absent in all 28 healthy control eyes
AI / Informatics
10.50-point increase
students trained with digital patients had higher history-taking assessment scores
AI / Informatics
difference, 0
AI and human experts had the same median quality scores for eye care questions
AI / Informatics
100% diagnostic sensitivity
ROFI correctly found every case of eye disease
Meta-analysis
RR 1.61
women have a higher risk of loss of smell in long COVID compared to men