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The interrelation between hypothyroidism and glaucoma: a critical review and meta‐analyses
Author(s) -
Thvilum Marianne,
Brandt Frans,
Brix Thomas Heiberg,
Hegedüs Laszlo
Publication year - 2017
Publication title -
acta ophthalmologica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.534
H-Index - 87
eISSN - 1755-3768
pISSN - 1755-375X
DOI - 10.1111/aos.13412
Subject(s) - glaucoma , medicine , meta analysis , intraocular pressure , relative risk , confidence interval , cohort study , comorbidity , pediatrics , ophthalmology
Abstract Data on the association between hypothyroidism and glaucoma are conflicting. We sought to shed light on this by conducting a critical review and meta‐analyses. The meta‐analyses were conducted in adherence with the widely accepted MOOSE guidelines. Using the Medical Subject Heading (MeSH) terms: hypothyroidism, myxoedema and glaucoma or intraocular pressure, case–control studies, cohort studies and cross‐sectional studies were identified (PubMed) and reviewed. Using meta‐analysis, the relative risk (RR) of coexistence of glaucoma and hypothyroidism was calculated. Based on the literature search, thirteen studies fulfilled the inclusion criteria and could be categorized into two groups based on the exposure. The designs of the studies varied considerably, and there was heterogeneity related to lack of power, weak phenotype classifications and length of follow‐up. Eight studies had glaucoma (5757 patients) as exposure and hypothyroidism as outcome. Among these, we found a non‐significantly increased risk of hypothyroidism associated with glaucoma (RR 1.65; 95% confidence interval [CI]: 0.97–2.82). Based on five studies (168 006 patients) with hypothyroidism as exposure and glaucoma as outcome, we found the risk of glaucoma to be significantly increased (RR 1.33; 95% CI: 1.13–1.58). Based on these meta‐analyses, there seems to be an association between hypothyroidism and glaucoma, which does not seem to be the case between glaucoma and hypothyroidism. However, larger scale studies with better phenotype classification, longer follow‐up and taking comorbidity and other biases into consideration are needed to address a potential causal relationship.