Evidence map›Paper›PMID 26893830›Full record

ArticleBiomedical reports2016

Fas-670A>G polymorphism is not associated with an increased risk of acute myeloid leukemia development.

Ying Huang, Donghong Deng, Hongying Li, Qiang Xiao, Lulu Huang, Bing Zhang, Fanghui Ye, Bingbing Ye, Zengnan Mo, Xiaobo Yang and 1 more

Abstract read
In one paragraph

Article in Biomedical reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. Review
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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

11 authors.

Ying HuangDepartment of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, P.R. China.
Donghong DengDepartment of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, P.R. China.
Hongying LiCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021, P.R. China.
Qiang XiaoCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021, P.R. China.
Lulu HuangCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021, P.R. China.
Bing ZhangCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021, P.R. China.
Fanghui YeCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021, P.R. China.
Bingbing YeCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021, P.R. China.
Zengnan MoInstitute of Urology and Nephrology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, P.R. China.
Xiaobo YangCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021, P.R. China; Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi 530021, P.R. China.
Zhenfang LiuDepartment of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The association between the increased risk of acute myeloid leukemia (AML) and Fas promoter polymorphisms has been reported previously; however, the results are inconclusive. The present study performed one case-control study to investigate the association, and a total of 98 AML patients and 2,014 healthy controls were genotyped. The data showed that the distribution of Fas-670AA, GA and GG genotypes among the AML patients were not significantly different from those of the healthy controls, all P>0.05. Following this a sub-study was conducted to analyze individuals who neither smoked nor drank. The results demonstrated that there was still no significant association between the Fas-670 polymorphism and risk of AML development, all P>0.05. Furthermore, in order to address a more accurate estimation of the association, a meta-analysis was conducted. Data were systematically collected from the Pubmed, EMBASE and the Wanfang Library. A total of 3 studies were included in this meta-analysis, which contained 1,144 AML cases and 3,806 controls. No significant association was detected between the Fas-670A>G polymorphism and AML risk [GA+GG vs. AA: odds ratio (OR) 0.93; 95% confidence interval (CI), 0.79-1.09; GG vs. AA: OR, 1.01; 95% CI, 0.82-1.24; GA vs. AA: OR, 1.12; 95% CI, 0.94-1.32; GG vs. AA+GA: OR, 0.94; 95% CI, 0.79-1.12; G vs. A: OR, 1.01; 95% CI, 0.91-1.12; all P>0.05). The analysis clearly indicated that there was no significant connection between the Fas-670A>G polymorphism and the increased risk of AML.

Indexed as

acute myeloid leukemiacase-control studyFas-670A>G polymorphismgenotypingmeta-analysis

Identifiers

PMID26893830
PMCPMC4734045

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