Evidence map›Paper›PMID 29424751›Full record

SynthesisAnatolian journal of cardiology2018

Lack of association of tumor necrosis factor superfamily member 4 (TNFSF4) gene polymorphisms (rs3850641 and rs17568) with coronary heart disease and stroke: A systematic review and meta-analysis.

Jin Sen Lu, Hong Wang, Fei Fei Yuan, Le Le Wu, Bin Wang, Dong Qing Ye

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Anatolian journal of cardiology, 2018. 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

6 authors.

Jin Sen Lu
Hong Wang
Fei Fei Yuan
Le Le Wu
Bin WangAnhui Province Key Laboratory of Major Autoimmune Diseases; Anhui- P. R. China. wbrst@sina.com.
Dong Qing Ye

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the association between the tumor necrosis factor superfamily member 4 (TNFSF4) gene polymorphisms and common cardiovascular and cerebrovascular diseases.

methodsA literature-based search was conducted through databases including PubMed, EMBASE, Cochrane Library, CNKI, and WanFang data. Crude odds ratios (ORs) and 95% confidence intervals (CI) were calculated to estimate the strength of the association between TNFSF4 polymorphisms (rs3850641 and rs17568) and the risk of coronary heart disease (CHD) and stroke.

resultsOverall, 11 eligible studies were included in this meta-analysis. G allele was showed not to be associated with CHD and stroke, compared with A allele (rs3850641: OR=1.02, 95% CI=0.89-1.17; rs17568: OR=1.09, 95% CI=0.89-1.33). Genotypic analysis demonstrated that there was no significant association between the risk of CHD and stroke and rs3850641 [homozygous comparison (GG vs. AA): OR=1.05, 95% CI=0.74-1.50; heterozygous comparison (GA vs. AA): OR=1.00, 95% CI=0.88-1.13; recessive model (GG vs. GA+AA): OR=1.04, 95% CI=0.76-1.43; dominant model (GG+GA vs. AA): OR=1.01, 95% CI=0.88-1.17]. Similarly, no susceptibility between CHD and stroke and rs17568 polymorphism was uncovered (GG vs. AA: OR=1.04, 95% CI=0.74-1.46; GA vs. AA: OR=1.07, 95% CI=0.62-1.83; GG+GA vs. AA: OR=1.13, 95% CI=0.82-1.56; GG vs. GA+AA: OR=1.01, 95% CI=0.74-1.39).

conclusionThe present study demonstrated that there is no significant relationship between TNFSF4 gene polymorphism and cerebrovascular and cardiovascular diseases.

Indexed as

Genetic Predisposition to DiseaseCoronary DiseaseHumansOX40 LigandPolymorphism, Single NucleotideStrokeOX40 LigandTNFSF4 protein, human

Identifiers

PMID29424751
PMCPMC5864823

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.