Post

New research · Ophthalmology
Ocular immunology and inflammation · 13h
Meta-analysisOcular immunology and inflammation · 2026

Characteristics of Uveitis in European Tertiary Ophthalmology Centers: A Systematic Review and Meta-Analysis.

Maja Cieślik, Maria Guszkowska, Bahram Bodaghi … Monika Łazicka-Gałecka
Read paper
OphthalmologyMeta-analysis

Anterior uveitis is the most common subtype in European tertiary centers.

Characteristics of Uveitis in European Tertiary Ophthalmology Centers: A Systematic Review and Meta-Analysis.

Maja Cieślik … Monika Łazicka-Gałecka
Ocular immunology and inflammation · 2026
Background

Uveitis is one of the leading causes of preventable visual impairment and shows marked heterogeneity in anatomical distribution, etiology, and management.

Purpose

This systematic review and meta-analysis aims to contextualize characteristics of uveitis across European tertiary ophthalmology centers to provide a reference framework for clinical and research applications.

Methods

Observational cohort and cross-sectional studies including ≥ 50 adult uveitis patients managed in European tertiary referral centers were eligible.

n = 471 patients
Results

over half of patients had uveitis in the eye's front chamber

Anterior uveitis
52.1%
Posterior uveitis
18.9%
Panuveitis
14.4%
Intermediate uveitis
8.7%
More results

Etiologically, non-infectious uveitis predominated (44.9%, 95% CI: 39.4-50.5%), followed by idiopathic (34.3%, 95% CI: 29.9-39.0%) and infectious uveitis (23.0%, 95% CI: 20.6-25.5%).

All pooled estimates showed substantial heterogeneity (I 2 > 90%).

Treatment patterns and complication rates were inconsistently reported and are therefore summarized descriptively.

“
Conclusion · 1 of 2

This study provides the first pooled benchmark estimates of uveitis characteristics across European tertiary centers, revealing substantial heterogeneity.

Conclusion · 2 of 2

The results offer a reference framework for contextualizing single-center cohorts and identifying regional variation across Europe.

Read paper
0 comments

No comments yet. Be the first.

Related papers

LatestFoundational
AI / Informatics
0·962 for OCT
MerMED-FM was very accurate at diagnosing diseases using eye scans
AI / Informatics
0.98
Artificial intelligence's eyelid-height measurements matched doctors' manual measurements almost perfectly
AI / Informatics
92.1%
combining eye scans and photos correctly told benign from cancerous lesions apart nearly every time
Cohort Study
28.6%
recurred locally in more than 1 in 4 patients over years of follow-up
Cohort Study
-0.395
excision group's post-op eyelid fullness score was lower - greater improvement
Cohort Study
86.7%
of infants probed after 12 months still had unresolved tear duct blockage
Observational
16%
eyelid tissue in rosacea patients showed less of this key repair-signaling protein inside cell nuclei
Cohort Study
25%
about 1 in 4 treated cases had symptoms return after improving