Evidence map›Paper›PMID 26656326›Full record

SynthesisMedicine2015

Association Between NAT2 Polymorphisms and Lung Cancer Susceptibility.

Chang Liu, Wei Cui, Lin Cong, Li Wang, Xinjian Ruan, Jia Jia, Yanfang Liu, Xiaoyan Jia, Xia Zhang

Abstract readMeta-Analysis
In one paragraph

Synthesis in Medicine, 2015. 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
0cells of the map it votes in
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

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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. BioMed research international · 2018
    Article
  7. 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

9 authors.

Chang LiuFrom the Department of Medical Oncology, The Military General Hospital of Beijing PLA, Beijing, China (CL, LW, XR, JJ, YL, XJ, XZ); Department of General Surgery, The Military General Hospital of Beijing PLA, Beijing, China (WC); and Department of Dermatology, The Military General Hospital of Beijing PLA, Beijing, China (LC).
Wei Cui
Lin Cong
Li Wang
Xinjian Ruan
Jia Jia
Yanfang Liu
Xiaoyan Jia
Xia Zhang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To further investigate the association between NAT2 polymorphisms and lung cancer susceptibility.In terms of phenotypes, we investigated the acetylator status of NAT2 polymorphisms associated with lung cancer risk. Additionally, in view of genotypes, we mainly analyzed 5 single nucleotide polymorphisms (SNPs) in NAT2 gene, namely C282T, A803G, C481T, G590A, and G857A. Twenty-six eligible studies were included in our meta-analysis by searching PubMed, Embase, and CNKI databases. We used odds ratios (ORs) with corresponding 95% confidence intervals (CIs) to evaluate the susceptibility to lung cancer associated with NAT2 polymorphisms.Overall, based on phenotypes, the pooled ORs showed no significant association between NAT2 polymorphisms and lung cancer susceptibility. In the subgroup analyses by ethnicity and source of control, there was still no significant association. In terms of genotypes, overall, no obvious relationship was observed between NAT2 polymorphisms and lung cancer risk. But increased risk of lung cancer was found in association with NAT2 C282T polymorphism (TT vs. CC + TC: OR = 1.58, 95% CI = 1.11-2.25).Our meta-analysis demonstrates that TT genotype in NAT2 C282T polymorphism may be a risk factor for lung cancer susceptibility. Additionally, the acetylator status of 5 SNPs in NAT2 gene may not be associated with lung cancer risk.

Indexed as

Genetic Predisposition to DiseaseArylamine N-AcetyltransferaseHumansLung NeoplasmsPolymorphism, Single NucleotideRisk AssessmentArylamine N-AcetyltransferaseNAT2 protein, human

Identifiers

PMID26656326
PMCPMC5008471

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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.