Evidence map›Paper›PMID 26504743›Full record

ReviewMeta gene2015

ATM rs189037 (G > A) polymorphism and risk of lung cancer and head and neck cancer: A meta-analysis.

Aditi Bhowmik, Sayantan Nath, Sambuddha Das, Sankar Kumar Ghosh, Yashmin Choudhury

Abstract readReview
In one paragraph

Review in Meta gene, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 3 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

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, 3 syntheses or guidelines pooled it.

  1. Bioscience reports · 2019
    Pooled it
  2. Pooled it
  3. Pooled it
  4. The most frequent PolishArchives of medical science : AMS · 2021
    Article
  5. Aging · 2020
    Article
  6. Article
  7. Observational
  8. Article
  9. Review
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

5 authors.

Aditi BhowmikDepartment of Biotechnology, Assam University, Silchar 788011, India.
Sayantan NathDepartment of Biotechnology, Assam University, Silchar 788011, India.
Sambuddha DasDepartment of Biotechnology, Assam University, Silchar 788011, India.
Sankar Kumar GhoshDepartment of Biotechnology, Assam University, Silchar 788011, India.
Yashmin ChoudhuryDepartment of Biotechnology, Assam University, Silchar 788011, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A number of different epidemiological studies have measured the association between the risk of different cancers and polymorphism at promoter region of 5' untranslated region (5'-UTR) of the Ataxia-telangiectasia mutated (ATM) gene. However the results were contentious rather than conclusive. The current study was aimed at evaluating the association between the SNP (rs189037 G>A) and the risk of head and neck cancer and lung cancer by conducting a meta-analysis. A total of 9 case-control studies were considered for this quantitative analysis. Stats Direct Statistical software (version 2.7.2) was used to evaluate the crude odds ratio (OR) with their 95% confidence interval (CI). The dominant model (GG vs. GA + AA) showed no heterogeneity and the fixed effects pooled OR was found to be significant (OR = 1.14, 95% CI = 1.05-1.25) at p = 0.003. The pooled OR for fixed effects of heterozygote and homozygote mutant allele (GA vs. AA) model was significant (OR = 1.17, 95% CI = 1.04-1.30, p = 0.006) and no heterogeneity was observed for this model. The current meta-analysis manifested that ATM rs189037 G>A genetic polymorphism may contribute increased risk of head and neck and lung cancer. Moreover, the AA mutant allele was found to be related significantly with the prognosis of lung cancer and head and neck cancer.

Indexed as

ATM (rs189037 G>A)Head and neck cancerLung cancerMeta-analysis

Identifiers

PMID26504743
PMCPMC4564396

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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.