Evidence map›Paper›PMID 32332599›Full record

SynthesisMedicine2020

Association between polymorphisms of epidermal growth factor 61 and susceptibility of lung cancer: A meta-analysis.

Quan Chen, Yiming Zheng, Bingbing Wu, Xia Chen, Pengfei Ge, Pengcheng Wang

Abstract readMeta-Analysis
In one paragraph

Synthesis in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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.

Quan ChenDepartment of Thoracic Surgery, Taizhou People's Hospital, Jiangsu Province, Taizhou, China.
Yiming Zheng
Bingbing Wu
Xia Chen
Pengfei Ge
Pengcheng Wang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To explore the association between epidermal growth factor (EGF) 61A/G polymorphism and lung cancer.All eligible case-control studies published up to August, 2019 were identified by searching PubMed, The excerpta medica database, China Academic Journals Full-text Database, China Biology Medicine, China National Knowledge Infrastructure, China Science and Technology Journal Database, and Wanfang databases. Two researchers independently identified the literature, extracted data, and evaluated quality according to inclusion and exclusion criteria. Meta-analysis was performed by Stata 15.0.A total of 6 studies is included, including 1487 cases and 2044 control subjects. Compared with allele A, allele G was considered to have no association with the risk of lung cancer, odds ratio = 1.07 (95% confidence interval: 0.98-1.15). GG recessive genotype, GG + GA dominant genotype, GG homozygote genotype and GA heterozygote genotype were found out that all of them are not associated with the risk of lung cancer. No association between EGF 61A/G polymorphism and lung cancer was found out by ethnical subgroup analysis. However, in view of the limitations of this study, such as the results of quantitative and sensitivity analysis may be lack of accuracy, so the conclusions of allele model and recessive gene model should be made carefully.It suggested that there was no association between polymorphism of EGF 61A/G and susceptibility of lung cancer.

Indexed as

AllelesEpidermal Growth FactorGenetic Predisposition to DiseaseGenotypeHumansLung NeoplasmsObservational Studies as TopicPolymorphism, Single NucleotideRisk FactorsEpidermal Growth Factor

Identifiers

PMID32332599
PMCPMC7220671

What OpenQuestion holds

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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.