Evidence map›Paper›PMID 39696489›Full record

ArticleDiabetology & metabolic syndrome2024

Association between metabolic syndrome and the risk of glaucoma: a meta-analysis of observational studies.

Fei Li, Yanjun Luo, Xin Li, Yan Dai, Qingping Xiang

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Article in Diabetology & metabolic syndrome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Fei LiDepartment of ophthalmology, Chengdu Fifth People's Hospital, No. 33 Mashi Street, Wenjiang District, Chengdu, 610000, Sichuan, China.
Yanjun LuoDepartment of ophthalmology, Chengdu Fifth People's Hospital, No. 33 Mashi Street, Wenjiang District, Chengdu, 610000, Sichuan, China.
Xin LiDepartment of ophthalmology, Chengdu Fifth People's Hospital, No. 33 Mashi Street, Wenjiang District, Chengdu, 610000, Sichuan, China.
Yan DaiDepartment of ophthalmology, Chengdu Fifth People's Hospital, No. 33 Mashi Street, Wenjiang District, Chengdu, 610000, Sichuan, China.
Qingping XiangDepartment of ophthalmology, Chengdu Fifth People's Hospital, No. 33 Mashi Street, Wenjiang District, Chengdu, 610000, Sichuan, China. qingpingxiangcdu@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe potential link between metabolic syndrome (MetS) and the risk of glaucoma has been proposed but remains inconclusive. This meta-analysis aimed to systematically evaluate the association between MetS and the risk of glaucoma.

methodsWe conducted a comprehensive search of PubMed, Embase, and Web of Science from inception to August 12, 2024, for observational studies assessing the relationship between MetS and glaucoma risk. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to estimate the association. Heterogeneity was assessed using I² statistics, and a random-effects model was applied.

resultsNine studies involving 2,258,797 participants were included. The pooled results showed that MetS was significantly associated with an increased risk of glaucoma (OR: 1.34, 95% CI 1.15-1.55, p < 0.001; I² = 75%). Subgroup analyses according to the individual component of MetS suggested that hypertension and hyperglycemia were significantly associated with glaucoma, but not for obesity or dyslipidemia, although the difference among subgroups was not significant (p = 0.05). Further subgroup and meta-regression analyses suggested that the results were not significantly affected by study design, average age, sex, method of glaucoma diagnosis, or glaucoma subtype (primary open-angle glaucoma or normal-tension glaucoma). Sensitivity analysis confirmed the robustness of the findings.

conclusionsThis meta-analysis suggests that MetS is significantly associated with an increased risk of glaucoma. These findings highlight the need for heightened awareness and potential screening strategies for glaucoma in individuals with MetS. Further studies are required to elucidate underlying mechanisms and causality.

Indexed as

GlaucomaIncidenceMeta-analysisMetabolic syndromeRisk factor

Identifiers

PMID39696489
PMCPMC11657432

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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.