Evidence map›Paper›PMID 24596032›Full record

SynthesisTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2014

Genetic association between ERCC5 rs17655 polymorphism and lung cancer risk: evidence based on a meta-analysis.

Yujia Liang, Jun Deng, Ying Xiong, Songping Wang, Wei Xiong

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2014. 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. Aging · 2018
    Pooled it
  2. Article
  3. Genetic polymorphism inMolecular biology research communications · 2019
    Article
  4. Article
  5. Article
  6. Article
  7. Association between ERCC5 gene polymorphisms and breast cancer risk.International journal of clinical and experimental pathology · 2015
    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

5 authors.

Yujia LiangDepartment of Respiratory Medicine, Affiliated Hospital of Luzhou Medical College, Luzhou, 646000, Sichuan Province, People's Republic of China, jasmine4523@126.com.
Jun Deng
Ying Xiong
Songping Wang
Wei Xiong

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The relationship between excision repair cross-complementing group 5 (ERCC5) rs17655 polymorphism and lung cancer risk remains controversial. To clarify the association, we conducted a comprehensive meta-analysis of all published case-control studies. PubMed, Web of Science, and CNKI were searched to identify the possibly eligible publications. Pooled odds ratio (OR) was estimated using the fixed effect model. Q test and I (2) index were used to evaluate heterogeneity between studies, and Egger's and Begg's tests were utilized to assess publication bias. Meta-analysis of nine case-control studies including 4,044 cases and 5,100 controls indicated that there was no global association between rs17655 polymorphism and lung cancer risk. Subgroup analyses according to ethnicity and histologic type revealed similar results. In summary, our meta-analysis suggests that ERCC5 rs17655 polymorphism may not contribute to genetic susceptibility for lung cancer.

Indexed as

Polymorphism, GeneticCase-Control StudiesDNA-Binding ProteinsDNA Excision Repair Protein ERCC-5EndonucleasesGenetic Predisposition to DiseaseHumansLung NeoplasmsNuclear ProteinsRiskTranscription FactorsDNA-Binding ProteinsDNA Excision Repair Protein ERCC-5EndonucleasesNuclear ProteinsTranscription Factors

Identifiers

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.