Evidence map›Paper›PMID 36998191›Full record

SynthesisClinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis

Association Between Transforming Growth Factor-β1 Polymorphisms and Ischemic Stroke Susceptibility: A Meta-Analysis.

Xiao-Qin Peng, Fan Cheng, Lan Zhou

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis. 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
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 38% of its field
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

0 citing papers in PubMed, 2 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

3 authors at 1 institution in 1 country.

Xiao-Qin PengDepartment of Neurology, 107632Taihe Hospital, Hubei University of Medicine, Shiyan, China.
Fan ChengCenter of Cardiopulmonary Rehabilitation, 107632Taihe Hospital, Hubei University of Medicine, Shiyan, China.
Lan ZhouDepartment of Neurology, 107632Taihe Hospital, Hubei University of Medicine, Shiyan, China.ORCID 0000-0003-2800-855X
Hubei University of Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epidemiological studies have suggested a potential relationship between the transforming growth factor-β1 (TGF-β1) gene and ischemic stroke (IS) risk; however, the current results are inconsistent. Therefore, we performed this meta-analysis to assess the precise association between TGF-β1 polymorphisms and IS risk. Online databases were searched for themes related to TGF-β1 polymorphisms and ARE risk. Quantitative calculations of odds ratios (ORs) and confidence intervals (CIs) were performed using 5 genetic models of each variant locus. Heterogeneity tests, cumulative analyses, sensitivity analyses, and publication bias were conducted to examine statistical power. Moreover, changes in the secondary structure and minimum free energy (MFE) were explored using in silico analysis. Nineteen case-control studies were included in our meta-analysis on rs1800468 G>A, rs1800469 C>T, and rs1800470 T>C polymorphisms and IS risk. Overall, only a marginal association was found between the rs1800469 C>T polymorphism and IS risk (T vs C: OR = 1.12, 95%CI = 1.00-1.46, P = .05, I

Indexed as

Genetic Predisposition to DiseaseIschemic StrokeCase-Control StudiesGenotypeHumansPolymorphism, Single NucleotideTransforming Growth Factor beta1Transforming Growth Factor beta1ischemic strokepolymorphismtransforming growth factor-β1

Identifiers

PMID36998191
PMCPMC10068975
OpenAlexW4362015130

What OpenQuestion holds

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LicenceCC BY-NC
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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.