Evidence map›Paper›PMID 39974357›Full record

ArticleFrontiers in neurology2025

Inflammation and endothelial gene polymorphism are associated with ischemic stroke.

Wanli Chen, Jie Li, Jintao Zhou, Xingyang Yi, Hong Chen

Abstract read
In one paragraph

Article in Frontiers in neurology, 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. A Heterozygous Variant inCase reports in medicine · 2025
    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

5 authors.

Wanli ChenDepartment of Neurology, The People's Hospital of Deyang City, Deyang, China.
Jie LiDepartment of Neurology, The People's Hospital of Deyang City, Deyang, China.
Jintao ZhouDepartment of Neurology, The Yongzhou Central Hospital, Yongzhou, China.
Xingyang Yi *Department of Neurology, The People's Hospital of Deyang City, Deyang, China.
Hong Chen *Department of Neurology, The People's Hospital of Deyang City, Deyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: Evaluate the correlation between ischemic stroke and genetic variations related to inflammation and endothelial function. Methods: This was a multicenter cross-sectional research conducted in southwestern China. Residents aged ≥40 years voluntarily join in the face-to-face survey in 8 communities. 2,377 participants were at high risk of stroke, of which 429 had a previous history of ischemic stroke. We selected the 429 ischemic stroke patients as the research subjects, and adopted a 1:1 matching method to select 429 healthy people with a 2-year age difference and the same gender and hypertension as the control group. We detected genotypes of 19 variants in 10 genes related to inflammation and endothelial function. Analyze gene-gene interaction through generalized multifactor dimensionality reduction (GMDR). Results: Analysis found no statistically significant differences in age, gender, hypertension, BMI, and smoking history between ischemic stroke patients and healthy control group. Compared with the healthy group, ischemic stroke group has a higher proportion of diabetes, heart disease, dyslipidemia, stroke family history, and a higher proportion of lack of exercise. Conclusion: This study found that specific variations in genes related to inflammation and endothelial function are associated with ischemic stroke. The high-risk interactive genotypes among

Indexed as

endothelial functiongenetic polymorphismhigh-risk stroke populationinflammationstroke

Identifiers

PMID39974357
PMCPMC11835671

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.