Evidence map›Paper›PMID 39494233›Full record

ArticleFrontiers in cardiovascular medicine2024

Causal effect of vascular endothelial growth factor on the risk of atrial fibrillation: a two-sample Mendelian randomization study.

Siliang Han, Ling Xue, Chunhong Chen, Junmin Xie, Fanchang Kong, Fang Zhang

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

6 authors.

Siliang HanDepartment of Cardiology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Ling XueDepartment of Cardiology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Chunhong ChenDepartment of Cardiology, Affiliated Hospital of Hebei University, Baoding, Hebei, China.
Junmin XieDepartment of Cardiology, Affiliated Hospital of Hebei University, Baoding, Hebei, China.
Fanchang KongDepartment of Cardiology, Affiliated Hospital of Hebei University, Baoding, Hebei, China.
Fang ZhangDepartment of Cardiology, Affiliated Hospital of Hebei University, Baoding, Hebei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Observational studies have found that vascular endothelial growth factor (VEGF) levels are associated with the risk of cardiovascular disease. However, it remains unclear whether VEGF levels have a causal effect on the risk of atrial fibrillation. Methods: A two-sample Mendelian randomization (MR) study was conducted to explore the causal relationship between VEGF levels and the risk of atrial fibrillation. Genetic variants associated with VEGF [VEGF-A, VEGF-C, VEGF-D, VEGF receptor-2 (VEGFR-2), VEGFR-3] and atrial fibrillation (atrial fibrillation, atrial fibrillation and flutter) were used as instrumental variables. Data on genetic variants were obtained from published genome-wide association studies (GWAS) or the IEU Open GWAS project. Inverse-variance weighted (IVW) analysis was used as the primary basis for the results, and sensitivity analyses were used to reduce bias. Causal relationships were expressed as odds ratio (OR) with 95% confidence interval (CI), and a Results: Genetically predicted high levels of VEGF-A [OR = 1.025 (95%CI: 1.004-1.047), Conclusion: This study supports a causal association between high VEGF-D levels and increased risk of atrial fibrillation.

Indexed as

atrial fibrillationcausal associationMendelian randomizationvascular endothelial growth factorVEGF-D

Identifiers

PMID39494233
PMCPMC11527688

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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.