Evidence map›Paper›PMID 26554761›Full record

SynthesisMedicine2015

Mitogen-Activated Protein Kinase Kinase 4 Gene Polymorphism and Cancer Risk.

Peiliang Geng, Juanjuan Ou, Ganfeng Xie, Jianjun Li, Xiaoxin Zhao, Lisha Xiang, Yunmei Liao, Ning Wang, Houjie Liang

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in Medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. 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

9 authors.

Peiliang GengFrom the Department of Oncology and Southwest Cancer Center, Southwest Hospital, Third Military Medical University, Chongqing, China.
Juanjuan Ou
Ganfeng Xie
Jianjun Li
Xiaoxin Zhao
Lisha Xiang
Yunmei Liao
Ning Wang
Houjie Liang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A number of epidemiological studies have assessed the association of -1304T > G polymorphism in the MKK4 gene and risk of cancer, but the results lack of statistical power due to the limited subjects used in these studies. This study was devised to identify the genetic effects of the -1304T > G polymorphism on cancer risk in a large meta-analysis.Eligible studies were identified by searching both Chinese and English databases. General as well as subgroup analyses were performed for 8 independent case-control publications with a total of 4623 cases and 5256 cancer-free controls. Odds ratios (ORs) and 95% confidence intervals (CIs) were used to estimate the association.Overall, this meta-analysis showed that the association between the -1304T > G polymorphism and cancer risk was statistically significant (GG vs TT: OR = 0.63, 95% CI, 0.52-0.75; GG + TG vs TT: OR = 0.85, 95% CI, 0.79-0.91; GG vs TG + TT: OR = 0.67, 95% CI, 0.56-0.80; G vs T: OR = 0.82, 95% CI, 0.77-0.88; TG vs TT: OR = 0.86, 95% CI, 0.79-0.93).Our meta-analysis reveals that the presence of the -1304T > G polymorphism is likely to decrease risk of cancer. Future larger studies are necessary to validate the current finding.

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideDNAGenotypeHumansMAP Kinase Kinase 4NeoplasmsDNAMAP Kinase Kinase 4

Identifiers

PMID26554761
PMCPMC4915862

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.