ArticleJournal of ophthalmology2026
Models Estimating the Effects of Changes in the Concentration of Specific Climatic Pollutants and Temperature on the Prevalence of Acute Ophthalmic Inflammatory Conditions: A Retrospective Cross-Sectional Observational Study.
Article in Journal of ophthalmology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Air pollution is a major environmental health risk linked to systemic and ocular diseases, including conjunctivitis, keratitis, and dry eye disease. Pollutants such as particulate matter, nitrogen oxides, and diesel exhaust particles have been associated with an increased prevalence of acute ophthalmic inflammatory conditions (AOICs). Identifying key pollutants may help reduce the prevalence of AOICs. Aim: The aim of this study was to investigate the relationship between atmospheric pollution and AOICs by identifying pollutants with the most consistent impact on AOIC prevalence, developing predictive models to estimate their composite effect, and assessing model accuracy. Methods: This retrospective study analyzed cases of AOICs from the Eye Emergency Department in Katowice (2011-2019). Diagnoses were classified into subgroups using ICD-10 codes and ophthalmologic evaluation. Annual prevalence was correlated with average pollutant levels and temperature via linear and multiple regression. Significant associations informed predictive models, assessed for accuracy using limits of agreement (±1.96 × SD), with Results: Between 2011 and 2019, over 60,000 cases of AOICs were identified among nearly 95,000 emergency visits. The most frequent diagnoses included conjunctivitis (46.8%), keratitis (26.4%), and blepharitis (14.1%). Multiple regression analyses revealed that the prevalence of several AOIC subtypes was significantly associated with mean annual concentrations of specific pollutants and/or temperature. Conclusion: Formaldehyde, CO, SO
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.