Evidence map›Paper›PMID 38172709›Full record

SynthesisBMC cardiovascular disorders2024

PDE4D single nucleotide polymorphism rs918592 is associated with ischemic Stroke risk in Chinese populations: a meta-analysis.

Xinrui Yu, Guiying Zhang, Xuelei Tang, Rong Lin

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in BMC cardiovascular disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
–field-weighted citation impact, top 100% of its field
1 · What the graph read from it

What it found

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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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 1 institution in 1 country.

Xinrui Yu *Department of Biology, Hainan Medical University, Haikou, China.
Guiying Zhang *Department of Biology, Hainan Medical University, Haikou, China.
Xuelei TangDepartment of Biology, Hainan Medical University, Haikou, China.
Rong LinDepartment of Biology, Hainan Medical University, Haikou, China. xianronglin@gmail.com.
Hainan Medical University · CN

Funding

National Natural Science Foundation of China 31660309
6 · The paper itself

Abstract

backgroundSeveral studies have investigated the correlation between phosphodiesterase 4D (PDE4D) single nucleotide polymorphism (SNP) rs918592 and the risk of ischemic stroke (IS) in Chinese populations. But the results were inconsistent and inconclusive. Therefore, to resolve this conflict, we conducted a meta-analysis to further elucidate their relationship in Chinese populations.

methodsStudies focused on SNP rs918592 and IS risk were electronic searched in the databases of PubMed, Embase, ISI Web of Science, Weipu, China National Knowledge Infrastructure (CNKI), Chinese Biomedical (CBM) and Wanfang. The association between SNP rs918592 and IS risk was expressed by odds ratio (OR) with its confidence interval (CI). Begg's and Egger's linear regression tests were used to assess publication bias. The meta-analysis was performed with STATA 11.0 statistical software. Two online prediction websites (HaploReg and RegulomeDB) were adopted to explore the functions of SNP rs918592.

resultsThe meta-analysis ultimately included 10 studies involving 2,348 cases and 2,289 controls. The results showed that there was a significant correlation between SNP rs918592 and IS risk in Chinese individuals. The G allele had reduced risk of developing IS compared to the A allele (OR 0.83, 95% CI 0.74-0.95, P = 0.005). HaploReg and RegulomeDB analyses suggested that SNP rs918592 and its strongly linked SNPs (e.g. rs34168777) might have regulatory functions.

conclusionThis study shows that SNP rs918592 in PDE4D may be a contributor of IS risk in Chinese populations. It offers a good answer for the association of PDE4D SNP rs918592 with IS risk in Chinese populations for the first time.

Indexed as

Brain IschemiaIschemic StrokeStrokeChinaCyclic Nucleotide Phosphodiesterases, Type 4Genetic Predisposition to DiseaseHumansIschemiaPolymorphism, Single NucleotideCyclic Nucleotide Phosphodiesterases, Type 4PDE4D protein, humanIschemic StrokeMeta-analysisPDE4DRs918592Single nucleotide polymorphism

Identifiers

PMID38172709
PMCPMC10765709
OpenAlexW4390571004

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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.