Evidence map›Paper›PMID 22335769›Full record

SynthesisDNA and cell biology2012

A meta-analysis of interleukin-10-1082 promoter polymorphism associated with gastric cancer risk.

Peihua Ni, Hong Xu, Huiping Xue, Bing Lin, Yang Lu

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in DNA and cell biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
–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

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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Association of host immunity withInfectious agents and cancer · 2019
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  8. Oncotarget · 2017
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  9. Host pathogen interactions inWorld journal of gastroenterology · 2017
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Peihua NiDepartment of Pharmacy, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
Hong Xu
Huiping Xue
Bing Lin
Yang Lu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to explore the role of allele A/G single nucleotide polymorphism (SNP) of gene Interleukin 10 (IL-10) promoter-1082 in the susceptibility to gastric cancer through a systematic review and meta-analysis. Each initially included article was scored for quality appraisal. Desirable data were extracted and registered into databases. Twenty studies were ultimately eligible for the meta-analysis of IL-10-1082 A/G SNP. We adopted the most probably appropriate genetic model (dominant model), with the combined group of GG-plus-GA genotypes compared with the AA genotype. Potential sources of heterogeneity were sought out via subgroup analyses and sensitivity analyses, and publication biases were estimated. Between IL-10-1082 GG-plus-GA genotypes with the risk of developing gastric cancer, statistically significant association could be noted with overall gastric cancer, being mainly in Asian subgroup, large sample subgroup, high quality subgroup, intestinal-type subgroup, cardia-type subgroup, and some genotyping method subgroups. Our meta-analysis indicates that IL-10-1082 GG-plus-GA genotypes are associated with the overall risk of developing gastric cancer and seem to be more susceptible to overall gastric cancer in Asian populations. IL-10-1082 GG-plus-GA genotypes are more associated with the pathologically intestinal-type gastric cancer or anatomically cardia-type gastric cancer.

Indexed as

Asian PeopleGenetic Association StudiesGenetic Predisposition to DiseaseGenotypeHumansInterleukin-10Models, GeneticPolymorphism, Single NucleotidePromoter Regions, GeneticRisk FactorsStomach NeoplasmsInterleukin-10

Identifiers

PMID22335769
PMCPMC3322401

What OpenQuestion holds

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Registered trials

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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.