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Meta-Analysis
. 2017 Jun 29;12(6):e0180188.
doi: 10.1371/journal.pone.0180188. eCollection 2017.

The association between gout and cataract risk: A meta-analysis

Affiliations
Meta-Analysis

The association between gout and cataract risk: A meta-analysis

Chenqi Luo et al. PLoS One. .

Abstract

Purpose: To evaluate the relationship between gout and age-related cataracts (ARCs).

Methods: A comprehensive literature search of the PubMed and Web of Science databases was conducted to identify papers on the association between gout and cataract risk that had been published between February 1991 and January 2017. Pooled relative risks (RRs) or odds ratios (ORs) and their corresponding 95% confidence intervals (CIs) were calculated. The random-effects model was used instead of the fixed-effects model when heterogeneity was identified, as indicated by a Cochran's Q statistic P-value <0.10 or I2 index score >50%.

Results: A total of 3 cross-sectional studies and 3 case-control studies were included in the meta-analysis. Gout was significantly associated with increased odds of ARCs (OR 1.53, 95% CI 1.27-1.84). In the subgroup analysis, gout exhibited positive associations with the odds of posterior subcapsular cataracts (PSCs, OR 1.69, 95% CI: 1.06-2.70) and cortical cataracts (CCs, OR 1.39, 95% CI: 1.06-1.81). However, no association was identified between gout and the odds of nuclear cataracts.

Conclusions: The current literature suggested that gout may be associated with increased odds of ARCs, especially PSCs and CCs. Further efforts should be made to confirm these findings and clarify the effect of gout and gout medications on the development of cataracts.

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Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Flow diagram of the literature search in this meta-analysis.
Fig 2
Fig 2. The association of gout with cataract risk in case-control/cross-sectional studies.
Fig 3
Fig 3. The association of gout with risk of cataract subtypes in case-control/cross-sectional studies.

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