SynthesisInternational ophthalmology2026
Epidemiological characterization of uveitis in the elderly population: a systematic review and meta-analysis.
Synthesis in International ophthalmology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
8 authors.
Funding
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Abstract
purposeThis systematic review and meta-analysis aimed to characterize etiological patterns of uveitis in individuals aged 60 years or older.
methodsFollowing the PRISMA 2020 and MOOSE reporting guidelines, we searched PubMed/MEDLINE, Scopus, PubMed Central (PMC), and Web of Science (January 1, 2005-January 1, 2025). Data extraction focused on study characteristics, sample size, uveitis location, and reported causes. Random-effects models were used to pool proportions across studies, heterogeneity assessed by the I
resultsOut of 10,829 retrieved citations, 16 studies met the inclusion criteria. Idiopathic uveitis constituted the largest proportion, with a pooled proportion of 41.45% (95% CI 30.63-53.16%). Infectious etiologies included herpetic uveitis (pooled proportion 11.40%, 95% CI 7.45-17.04%), cytomegalovirus (3.09%, 95% CI 1.01-9.06%) and tuberculosis (5.10%, 95% CI 2.58-9.83%). Non-infectious causes, such as sarcoidosis (5.21%, 95% CI 2.78-9.55%) and HLA-B27-associated uveitis (6.05%, 95% CI 3.35-10.71%), also contributed substantially. High heterogeneity (I
conclusionOur meta-analysis underscores the diverse etiological landscape of uveitis in the elderly, with over 40% of cases remaining idiopathic. High heterogeneity highlights regional variations and diagnostic challenges. Standardized evaluation protocols and improved access to advanced investigations may help reduce the burden of undiagnosed cases. Within Asia, the only continent contributing multiple studies, subgroup analysis reduced heterogeneity for some etiologies, suggesting that regional factors contribute to the observed variability.
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