SynthesisPloS one2013
Association between transforming growth factor-beta 1 T869C polymorphism and ischemic stroke: a meta-analysis.
Synthesis in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled 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.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Association Between Transforming Growth Factor-β1 Polymorphisms and Ischemic Stroke Susceptibility: A Meta-Analysis.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/HemostasisPooled it
- InnovativeFrontiers in physiology · 2024Article
- Article
- Article
- Associations of genetic polymorphisms of SAA1 with cerebral infarction.Lipids in health and disease · 2013Article
- Transforming growth factor-β1 (C509T, G800A, and T869C) gene polymorphisms and risk of ischemic stroke in North Indian population: A hospital-based case-control study.Annals of Indian Academy of NeurologyArticle
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo explore the association between transforming growth factor-beta1 (TGF-β1) T869C polymorphism and risk of ischemic stroke (IS) by performing a meta-analysis based on published articles.
methodsSystematic electronic searches of PubMed, Science Direct, BIOSIS Previews, Chinese Biomedical Database, Chinese National Knowledge Infrastructure, and WANFANG Database were performed. The strength of the association was calculated by pooled odds ratios (ORs) with 95% confidence intervals (95%CIs). Subgroup analysis was conducted to explore potential sources of heterogeneity. Sensitivity analysis was performed to elucidate the stability of the outcomes. Publication bias was evaluated by Begg's funnel plot and Egger's test.
resultsA total of 6 studies involving 1701 cases were included. The overall estimates did not show any significant association between TGF-β1 T869C polymorphism and risk of IS under all genetic models (C vs. T: OR = 1.08,95%CI = 0.88-1.32; CC vs. TT:OR = 1.17,95%CI = 0.79-1.72; CT vs. TT: OR = 0.91, 95%CI = 0.68-1.22; CC+CT vs. TT: OR = 0.99, 95%CI = 0.73-1.35; CC vs. CT+TT: OR = 1.23, 95%CI = 0.95-1.59). Similar lacking associations were observed in subgroup analysis based on ethnicity and source of controls. When stratified by study design, significant increased association of IS risk was found in cohort studies under genetic models except recessive model(C vs. T: OR = 1.18, 95%CI = 1.05-1.32; CC vs. TT: OR = 1.40, 95%CI = 1.10-1.77; CT vs. TT: OR = 1.23, 95%CI = 1.02-1.49; CC+CT vs. TT: OR = 1.27, 95%CI = 1.03-1.57; CC vs. CT+TT, OR = 1.21, 95%CI = 0.99-1.47), whereas in case-control studies a significant decreased risk was detected under heterozygote comparison(CT vs. CC: OR = 0.72, 95%CI = 0.57-0.92). However, after correction for multiple testing, the associations were observed to be null significant in both cohort and case-control subgroups among all genetic models.
conclusionThis meta-analysis suggested that current epidemiological studies of TGF-β1 T869C polymorphism are too inconsistent to draw a conclusion on the association with IS susceptibility. Given the small sample size and remarkable between-study heterogeneity, further well-designed prospective large-scale studies are warranted.
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