Evidence map›Paper›PMID 33794810›Full record

ArticleBMC cancer2021

New insights of the correlation between AXIN2 polymorphism and cancer risk and susceptibility: evidence from 72 studies.

Xi Li, Yiming Li, Guodong Liu, Wei Wu

Abstract read
In one paragraph

Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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7citing papers in PubMed, 1 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

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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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Xi Li *Department of Geriatric Surgery, Xiangya Hospital, Central South University, Changsha, 410008, China.
Yiming Li *Department of Geriatric Surgery, Xiangya Hospital, Central South University, Changsha, 410008, China.
Guodong LiuDepartment of Geriatric Surgery, Xiangya Hospital, Central South University, Changsha, 410008, China. guodongliu@csu.edu.cn.ORCID http://orcid.org/0000-0003-1922-2538
Wei WuDepartment of Geriatric Surgery, Xiangya Hospital, Central South University, Changsha, 410008, China. wwtw1972@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNumerous studies have reported the correlation between AXIN2 polymorphism and cancer risk, but the results seem not consistent. In order to get an overall, accurate and updated results about AXIN2 polymorphism and cancer risk, we conducted this study.

methodsAn updated analysis was performed to analyze the correlation between AXIN2 polymorphisms and cancer risk. Linkage disequilibrium (LD) analysis was also used to show the associations.

resultsSeventy-two case-control studies were involved in the study, including 22,087 cases and 18,846 controls. The overall results showed rs11079571 had significant association with cancer risk (allele contrast model: OR = 0.539, 95%CI = 0.478-0.609, PAdjust = 0.025; homozygote model: OR = 0.22, 95% CI = 0.164-0.295, PAdjust< 0.001; heterozygote model: OR = 0.292, 95% CI = 0.216-0.394, PAdjust< 0.001; dominant model: OR = 0.249, 95% CI = 0.189-0.33, PAdjust< 0.001). The same results were obtained with rs1133683 in homozygote and recessive models (PAdjust< 0.05), and in rs35285779 in heterozygote and dominant models (PAdjust< 0.05). LD analysis revealed significant correlation between rs7210356 and rs9915936 in the populations of CEU, CHB&CHS, ESN and JPT (CEU: r

conclusionsAXIN2 rs11079571, rs1133683 and rs35285779 polymorphisms have significant correlations with overall cancer risk. What's more, two or more polymorphisms such as rs7210356 and rs9915936, rs9915936 and rs7224837, rs7224837 and rs7210356, rs35435678 and rs35285779 have significant correlation with cancer susceptibility in different populations.

Indexed as

Axin ProteinCase-Control StudiesGenetic Predisposition to DiseaseHumansNeoplasmsPolymorphism, Single NucleotideRisk FactorsAXIN2 protein, humanAxin ProteinAnalysisAXIN2CancerCorrelationPolymorphism

Identifiers

PMID33794810
PMCPMC8017882

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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.