Evidence map›Paper›PMID 31970867›Full record

SynthesisThoracic cancer2020

Correlation between MDM2 T309G single nucleotide polymorphism and esophageal cancer susceptibility: An updated meta-analysis.

Lele Yin, Guo Shen, Bin Zhu

Abstract readMeta-Analysis
In one paragraph

Synthesis in Thoracic cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Lele YinDepartment of Emergency, Huaihe Hospital of Henan University, Kaifeng, China.ORCID 0000-0002-1950-1193
Guo ShenDepartment of General Surgery, Zhuji Affiliated Hospital of Shaoxing University, Shaoxing, China.
Bin ZhuDepartment of Emergency, Lishui People's Hospital, Lishui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to investigate the correlation between MDM2 T309G single nucleotide polymorphism (SNP) and esophageal cancer susceptibility through pooling the open published data.

methodsBy systematic searching the databases of Medline, EMBASE, CBM and CNKI, the case-control or cohort studies related to MDM2 T309G single nucleotide polymorphism and esophageal cancer risk were screened. Genetic phenotype data of T309G single nucleotide was extracted from the original included studies. The correlation between MDM2 T309G single nucleotide polymorphism and esophageal cancer susceptibility was demonstrated by the odds ratio (OR) and its corresponding 95% confidence interval (95% CI). Publication bias was investigated by Egger's line regression test and begg's funnel plot.

resultsAfter systematic searching of the relevant database, nine publications were finally included in the present study. The combined data demonstrated that the subjects with the G genotype had an increased risk of developing esophageal cancer in dominant (OR = 1.13, 95% CI: 1.00-1.27, P = 0.043), recessive (OR = 1.27, 95% CI: 1.12-1.45, P = 0.000) and homozygous (OR = 1.34, 95% CI:1.04-1.74, P = 0.024) genetic model through random or fixed data pooling method. Both begg's and Egger's line regression test indicated no significant publication bias.

conclusionBased on the present data, there was a significant correlation between MDM2 T309G single nucleotide polymorphism and esophageal cancer susceptibility. Individuals with G genotype may have an increased risk of developing esophageal cancer.

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideBiomarkers, TumorEsophageal NeoplasmsHumansPrognosisProto-Oncogene Proteins c-mdm2Risk FactorsBiomarkers, TumorMDM2 protein, humanProto-Oncogene Proteins c-mdm2Esophageal cancerMDM2 genemeta-analysispolymorphismsusceptibility

Identifiers

PMID31970867
PMCPMC7049506

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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.