Evidence map›Paper›PMID 21947843›Full record

SynthesisMolecular biology reports2012

Has-miR-146a polymorphism (rs2910164) and cancer risk: a meta-analysis of 19 case-control studies.

Jun Wang, Jingwang Bi, Xin Liu, Kainan Li, Jianshi Di, Baocheng Wang

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Molecular biology reports, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 14 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 14 pooled it
4.8field-weighted citation impact, top 5% 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

32 citing papers in PubMed, 14 syntheses or guidelines pooled it, 70 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Ethnicity modifies the association between functional microRNA polymorphisms and breast cancer risk: a HuGE meta-analysis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Pooled it
  10. Pooled it
  11. Pooled it
  12. Pooled it
  13. Pooled it
  14. Pooled it
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

6 authors at 1 institution in 1 country.

Jun WangDepartment of Oncology, General Hospital, Jinan Command of the People's Liberation Army, Shifan Street 25, Tianqiao District, Jinan, 250031, China.
Jingwang Bi
Xin Liu
Kainan Li
Jianshi Di
Baocheng Wang
General Hospital of Jinan Military Command · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epidemiological studies have evaluated the association between has-miR-146a polymorphism (rs2910164) and cancer risk. However, published data are still inconclusive. Here, we performed a meta-analysis to assess the relationship between has-miR-146a polymorphism (rs2910164) and cancer susceptibility until May 8, 2010. Nineteen published case-control studies including a total of 10,496 cases and 12,885 controls were acquired. Overall, Increased cancer risk was found in domain model (OR = 1.18, 95% CI: 1.03-1.35) rather than in other genetic models when all studies were pooled into the meta-analysis. Stratified analysis shown that significant association between rs2910164 polymorphism and cancer susceptibility was present in Asians (OR = 1.14, 95% CI: 1.01-1.29 for CG vs. CC; OR = 1.19, 95% CI: 1.03-1.39 for GG + CG vs. CC), but not in Caucasian populations. In the subgroup analysis by cancer types, no significantly increased risk of breast, gastric, prostate or bladder cancer were found in any of the genetic models. In summary, this meta-analysis suggests that has-miR-146a polymorphism (rs2910164) is associated with increased cancer susceptibility in Asians. However, further well-designed studies with large sample size will be necessary to validate the risk identified in the current meta-analysis.

Indexed as

Genetic Predisposition to DiseaseAsian PeopleCase-Control StudiesConfidence IntervalsGenetic HeterogeneityHumansMicroRNAsNeoplasmsOdds RatioPolymorphism, Single NucleotidePublication BiasRisk FactorsWhite PeopleMicroRNAsMIRN146 microRNA, human

Identifiers

PMID21947843
OpenAlexW2037895853

What OpenQuestion holds

Textmetadata
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.