Evidence map›Paper›PMID 24860819›Full record

SynthesisBioMed research international2014

Association between two common polymorphisms and risk of hepatocellular carcinoma: evidence from an updated meta-analysis.

Zhaoming Wang, Lei Zhang, Xuesong Shi, Huayu Xu, Ting Wang, Jianmin Bian

Abstract readMeta-Analysis
In one paragraph

Synthesis in BioMed research international, 2014. 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

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

6 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

6 authors.

Zhaoming WangDepartment of General Surgery, The Affiliated Nanjing First Hospital with Nanjing Medical University, No. 68 Changle Road, Nanjing 210006, China ; Department of General Surgery, The First People's Hospital of Changzhou, Changzhou 213000, China.
Lei ZhangDepartment of General Surgery, The Affiliated Nanjing First Hospital with Nanjing Medical University, No. 68 Changle Road, Nanjing 210006, China.
Xuesong ShiDepartment of General Surgery, The Affiliated Nanjing First Hospital with Nanjing Medical University, No. 68 Changle Road, Nanjing 210006, China.
Huayu XuThe First Clinical Medical College, Nanjing Medical University, Nanjing 210000, China.
Ting WangSchool of Public Health, Nanjing Medical University, Nanjing 210000, China.
Jianmin BianDepartment of General Surgery, The Affiliated Nanjing First Hospital with Nanjing Medical University, No. 68 Changle Road, Nanjing 210006, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent studies suggested that two common polymorphisms, miR-146a G>C and miR-196a2 C>T, may be associated with individual susceptibility to hepatocellular carcinoma (HCC). However, the results remain conflicting rather than conclusive. Object. The aim of this study was to assess the association between miR-146a G>C and miR-196a2 C>T polymorphisms and the risk of HCC.

methodsA meta-analysis of 17 studies (10938 cases and 11967 controls) was performed. Odds ratios and 95% confidence intervals were used to evaluate the strength of the association.

resultsFor miR-146a G>C, the variant genotypes were associated with a decreased risk of HCC (CC versus GG: OR = 0.780 and 95% CI 0.700-0.869; GC/CC versus GG: OR = 0.865 and 95% CI 0.787-0.952; CC versus GC/GG: OR = 0.835 and 95% CI 0.774-0.901). For miR-196a2 C>T, significant association was also observed (TT versus CC: OR = 0.783, 95% CI: 0.649-0.943, and P = 0.010; CT versus CC: OR = 0.831, 95% CI 0.714-0.967, and P = 0.017; CT/TT versus CC: OR = 0.817, 95% CI 0.703-0.949, and P = 0.008).

conclusionThe two common polymorphisms miR-146a G>C and miR-196a2 C>T were associated with decreased HCC susceptibility, especially in Asian population.

Indexed as

Carcinoma, HepatocellularEvidence-Based MedicineFemaleGene FrequencyGenetic Association StudiesGenetic MarkersGenetic Predisposition to DiseaseHumansLiver NeoplasmsMaleMicroRNAsPolymorphism, Single NucleotidePrevalenceRisk FactorsGenetic MarkersMicroRNAsMIRN146 microRNA, humanMIRN196 microRNA, human

Identifiers

PMID24860819
PMCPMC4016853

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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.