Evidence map›Paper›PMID 40831670›Full record

ArticleExperimental biology and medicine (Maywood, N.J.)2025

Dietary-related characteristics and cataract risk: evidence from a mendelian randomization study.

Chen Li, Yicheng Lu, Mingxuan Chen, Qing Zhang, Zhe Zhang, Wenqun Xi, Weihua Yang

Abstract read
In one paragraph

Article in Experimental biology and medicine (Maywood, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Chen LiDepartment of Ophthalmology, The First Affiliated Hospital of Soochow University, SuZhou, Jiangsu, China.
Yicheng LuDepartment of Ophthalmology, The First Affiliated Hospital of Soochow University, SuZhou, Jiangsu, China.
Mingxuan ChenSchool of Clinical Medicine, Medical College of Soochow University, SuZhou, Jiangsu, China.
Qing ZhangShenzhen Eye Hospital, Shenzhen Eye Medical Center, Southern Medical University, Shenzhen, China.
Zhe ZhangShenzhen Eye Hospital, Shenzhen Eye Medical Center, Southern Medical University, Shenzhen, China.
Wenqun XiShenzhen Eye Hospital, Shenzhen Eye Medical Center, Southern Medical University, Shenzhen, China.
Weihua YangShenzhen Eye Hospital, Shenzhen Eye Medical Center, Southern Medical University, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cataract is the leading cause of blindness globally, imposing a significant socioeconomic burden. While diet is associated with various eye diseases, the causal relationship between dietary-related characteristics (DRCs) and cataract remains unclear. This study investigates the causal associations between DRCs and cataract using Mendelian randomization (MR) to provide insights into potential dietary interventions for cataract prevention. We conducted a two-sample MR analysis using data from the open GWAS database, focusing on individuals of European descent. Instrumental variables were selected based on stringent criteria, and multiple MR methods were applied to estimate causal effects. Sensitivity analyses assessed the robustness of the findings. Significant causal associations were found between oily fish intake (OR = 0.86) and variation in diet (OR = 1.26) with cataract. Sensitivity analyses supported the robustness of these findings. Mediation effect analysis suggested that the intake of oily fish might indirectly influence cataract risk through metabolites. This study provides evidence for causal relationships between specific DRCs and cataract, highlighting the potential role of dietary interventions in cataract prevention.

Indexed as

CataractDietGenome-Wide Association StudyHumansMendelian Randomization AnalysisRisk Factorscataractcausal relationshipdietary-related characteristicsmendelian randomizationprevention strategy

Identifiers

PMID40831670
PMCPMC12358322

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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.