Evidence map›Paper›PMID 31470810›Full record

SynthesisBMC infectious diseases2019

Association of TGF-ß1 polymorphisms and chronic hepatitis C infection: a Meta-analysis.

Pengfei Guo, Shuangyin Liu, Xiangru Sun, Longqin Xu

Open access · goldAbstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in BMC infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
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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 2 institutions in 1 country.

Pengfei GuoCollege of Computational Science, Zhongkai University of Agriculture and Engineering, Guangzhou, 510200, China.
Shuangyin LiuCollege of Information Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510200, China. Guopfzhku@163.com.
Xiangru SunInstitute of Reproductive Medicine, Affiliated Hexian Memorial Hospital, Southern Medical University, Guangzhou, 511400, China.
Longqin XuCollege of Information Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510200, China.
Zhongkai University of Agriculture and Engineering · CNSouthern Medical University · CN

Funding

Foundation for High-level Talents in Higher Education of Guangdong Province 2017KTSCX095the general program of technology project of Guangzhou 201707010221the National Natural Science Foundation of China 61871475
6 · The paper itself

Abstract

backgroundAlthough several researches have reported the connection between the transforming growth factor-beta 1 (TGF-β1) gene polymorphisms and chronic hepatitis C virus (HCV) infection, the conclusions of these studies were not always consistent. Here, this paper proposed a meta-analysis to evaluate whether the TGF-ß1 gene polymorphisms, -509C/T (rs1800469), codon 10 T/C (rs1982073) and codon 25G/C (rs1800471), were associated with chronic HCV infection.

methodsThe summary odds ratios (ORs) of chronic HCV infected patients and controls with all SNPs were obtained by adaptive fixed or random effect model. A series of statistical tools were employed to guarantee the accuracy of related pooling ORs, including the Hardy-Weinberg equilibrium (HWE) test, sensitivity analysis and publication bias test.

resultsThis paper analyzed 18 case-control studies in 17 articles which totally contains 2718 chronic HCV infection cases corresponding to 1964 controls. The results of the meta-analysis indicated that the -509C/T polymorphism effected an increased risk of chronic HCV infection in all gene models. More specifically by ethnicity stratification, the Egyptians shared the similar association with the above overall study. Moreover, the meta-fusion of healthy control studies showed that - 509 T allele carriers (TT + TA) had nearly 2.00 and 3.36 fold higher risk of chronic HCV infection in the total and Egyptian populations, respectively (OR = 2.004, 95% CI = 1.138-3.528, P = 0.016; OR = 3.363, 95% CI = 1.477-7.655, P = 0.004, respectively). However, our meta-analysis did not find any significant association between the codon 10 T/C or codon 25G/C polymorphisms and chronic HCV infection.

conclusionsOur results suggested that the TGF-ß1-509C/T polymorphism may effect an increased risk of chronic HCV infection, especially in Egyptian population.

Indexed as

Polymorphism, Single NucleotideAllelesCase-Control StudiesEgyptFemaleGenetic Predisposition to DiseaseGenotypeHepatitis C, ChronicHumansMaleTransforming Growth Factor beta1TGFB1 protein, humanTransforming Growth Factor beta1Hepatitis C virusMeta-analysisQuality assessmentSingle nucleotide polymorphismTGF-ß1 gene

Identifiers

PMID31470810
PMCPMC6716859
OpenAlexW2971002011

What OpenQuestion holds

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LicenceCC BY
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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.