Evidence map›Paper›PMID 27143935›Full record

ArticleOncoTargets and therapy2016

Genetic association between interluekin-4 rs2243250 polymorphism and gastric cancer susceptibility: evidence based on a meta-analysis.

Chi Zhang, Jing-Yu Huang, Zi-Qi He, Hong Weng

Abstract read
In one paragraph

Article in OncoTargets and therapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Association between four SNPs in IL-4 and the risk of gastric cancer in a Chinese population.International journal of molecular epidemiology and genetics · 2017
    Article
  6. Genetic Association betweenFrontiers in physiology · 2017
    Article
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.

Chi ZhangDepartment of Oncology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, People's Republic of China.
Jing-Yu HuangDepartment of Oncology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, People's Republic of China.
Zi-Qi HeDepartment of Urology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People's Republic of China.
Hong WengCenter for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeNumerous studies have suggested that the interleukin-4 (IL-4) rs2243250 polymorphism is associated with gastric cancer susceptibility. However, the results were inconsistent. Hence, we carried out a meta-analysis to confirm the conclusion.

methodsWe searched PubMed, Embase, CBM, CNKI, and Wanfang Data to identify relevant studies up to August 20, 2015. Odds ratio (OR) and 95% confidence interval (CI) were used to estimate the association between IL-4 rs2243250 polymorphism and gastric cancer susceptibility. All the statistical analyses were performed with Stata 12.0 software.

resultsA total of eleven published case-control studies were identified, including 2,247 gastric cancer patients and 3,370 controls. Overall, no significant association between IL-4 rs2243250 polymorphism and gastric cancer susceptibility was observed in this meta-analysis (T vs C: OR =1.05, 95% CI =0.95-1.17; TT vs CC: OR =1.20, 95% CI =0.89-1.63; CT vs CC: OR =1.14, 95% CI =0.87-1.48; TT + CT vs CC: OR =1.13, 95% CI =0.89-1.44; TT vs CT + CC: OR =1.02, 95% CI =0.88-1.20). Similar results were found in subgroup analyses according to ethnicity and Hardy-Weinberg equilibrium in controls.

conclusionThis meta-analysis suggests that IL-4 rs2243250 polymorphism may not be associated with gastric cancer susceptibility. Further studies are needed to validate this conclusion.

Indexed as

geneticinterleukin-4meta-analysispolymorphismstomach neoplasms

Identifiers

PMID27143935
PMCPMC4844435

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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.