Evidence map›Paper›PMID 26078942›Full record

SynthesisBioMed research international2015

Quantitative Assessment of the Association between Genetic Variants in MicroRNAs and Colorectal Cancer Risk.

Xiao-Xu Liu, Meng Wang, Dan Xu, Jian-Hai Yang, Hua-Feng Kang, Xi-Jing Wang, Shuai Lin, Peng-Tao Yang, Xing-Han Liu, Zhi-Jun Dai

Open access · hybridAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 22% of its field
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
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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

10 authors at 2 institutions in 1 country.

Xiao-Xu LiuDepartment of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China.
Meng WangDepartment of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China.
Dan XuCenter for Translational Medicine, Frontier Institute of Science and Technology (FIST), Xi'an Jiaotong University, Xi'an 710049, China.
Jian-Hai YangDepartment of Chemistry, School of Science, Xi'an Jiaotong University, Xi'an 710049, China.
Hua-Feng KangDepartment of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China.
Xi-Jing WangDepartment of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China.
Shuai LinDepartment of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China.
Peng-Tao YangDepartment of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China.
Xing-Han LiuDepartment of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China.
Zhi-Jun DaiDepartment of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China ; Center for Translational Medicine, Frontier Institute of Science and Technology (FIST), Xi'an Jiaotong University, Xi'an 710049, China.ORCID 0000-0001-5209-8626
Second Affiliated Hospital of Xi'an Jiaotong University · CNXi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe associations between polymorphisms in microRNAs and the susceptibility of colorectal cancer (CRC) were inconsistent in previous studies. This study aims to quantify the strength of the correlation between the four common polymorphisms among microRNAs (hsa-mir-146a rs2910164, hsa-mir-149 rs2292832, hsa-mir-196a2 rs11614913, and hsa-mir-499 rs3746444) and CRC risk.

methodsWe searched PubMed, Web of Knowledge, and CNKI to find relevant studies. The combined odds ratio (OR) with 95% confidence interval (95% CI) was used to estimate the strength of the association in a fixed or random effect model.

results15 studies involving 5,486 CRC patients and 7,184 controls were included. Meta-analyses showed that rs3746444 had association with CRC risk in Caucasians (OR = 0.57, 95% CI = 0.34-0.95). In the subgroup analysis, we found significant associations between rs2910164 and CRC in hospital based studies (OR = 1.24, 95% CI = 1.03-1.49). rs2292832 may be a high risk factor of CRC in population based studied (OR = 1.18, 95% CI = 1.08-1.38).

conclusionThis meta-analysis showed that rs2910164 and rs2292832 may increase the risk of CRC. However, rs11614913 polymorphism may reduce the risk of CRC. rs3746444 may have a decreased risk to CRC in Caucasians.

Indexed as

Colorectal NeoplasmsGenetic Association StudiesGenetic Predisposition to DiseaseGenotypeHumansMicroRNAsPolymorphism, Single NucleotideWhite PeopleMicroRNAsMIRN146 microRNA, humanMIRN149 microRNA, humanMIRN196 microRNA, humanMIRN499 microRNA, human

Identifiers

PMID26078942
PMCPMC4452836
OpenAlexW1595030500

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.