Evidence map›Paper›PMID 39960918›Full record

ArticleMedicine2025

Causal association between varicose veins and atrial fibrillation: A 2-sample bidirectional Mendelian randomization study.

Weiyue Chen, Na Jing, Qingzhi Liu, Hong Mao, Xiangyu Wang, Boxun Chen, Yannan Wang

Abstract read
In one paragraph

Article in Medicine, 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

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
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.

Weiyue ChenFirst Clinical College, Shandong University of Traditional Chinese Medicine, Jinan, China.ORCID 0009-0009-8510-9497
Na JingFirst Clinical College, Shandong University of Traditional Chinese Medicine, Jinan, China.
Qingzhi LiuFirst Clinical College, Shandong University of Traditional Chinese Medicine, Jinan, China.
Hong MaoFirst Clinical College, Shandong University of Traditional Chinese Medicine, Jinan, China.
Xiangyu WangFirst Clinical College, Shandong University of Traditional Chinese Medicine, Jinan, China.
Boxun ChenFirst Clinical College, Shandong University of Traditional Chinese Medicine, Jinan, China.
Yannan WangDepartment of Vascular Surgery, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.ORCID 0009-0001-4810-9481

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study selected genome-wide association study data from the FinnGen database and utilized a bidirectional 2-sample Mendelian randomization (MR) method to explore the causal association between varicose veins (VV) and atrial fibrillation (AF). Inverse variance weighted (IVW) was used as the primary analytical method to assess the causal relationship between VV and AF, supplemented by Weighted median, MR-Egger and Simple 1mode. Cochran's Q test, MR-Egger regression intercept and Mendelian randomization pleiotropy residual sum and outlier were used as sensitivity analyses to detect heterogeneity and multilevel pleiotropy. Additionally, reverse MR was conducted to analyze the causal association between AF and VV. The IVW method indicated a positive causal relationship between VV and AF (odds ratio = 1.1571, 95% confidence interval = 1.0810-1.2384, P = 2.59 × 10-5). Reverse MR analysis shows no potential reverse causal relationships. The results showed a significant causal effect of VV on AF, suggesting that VV may increase the risk of developing AF. It also elaborates on the common risk factors and pathophysiological conditions between VV and AF.

Indexed as

Atrial FibrillationVaricose VeinsGenome-Wide Association StudyHumansMendelian Randomization AnalysisRisk Factors

Identifiers

PMID39960918
PMCPMC11835076

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Registered trials

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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.