Evidence map›Paper›PMID 32493081›Full record

SynthesisThe Journal of international medical research2020

The

Xin-Yuan Zhang, Xiao-Han Wei, Bao-Jie Wang, Jun Yao

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in The Journal of international medical research, 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, top 95% of its field
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, 0 citations in OpenAlex.

  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

4 authors at 1 institution in 1 country.

Xin-Yuan ZhangSchool of Forensic Medicine, China Medical University, Shenyang, Liaoning Province, P. R. China.
Xiao-Han WeiSchool of Forensic Medicine, China Medical University, Shenyang, Liaoning Province, P. R. China.
Bao-Jie WangSchool of Forensic Medicine, China Medical University, Shenyang, Liaoning Province, P. R. China.ORCID https://orcid.org/0000-0003-1931-423X
Jun YaoSchool of Forensic Medicine, China Medical University, Shenyang, Liaoning Province, P. R. China.ORCID https://orcid.org/0000-0003-0781-5694
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesA growing number of studies have reported that genes involved in the repair of DNA double-strand breaks might be cancer-susceptibility genes. The x-ray cross-complementing group 4 gene (

methodsWe retrieved case-control studies that met the inclusion criteria from PubMed, Web of Science, Embase, and China National Knowledge Infrastructure databases. Associations between rs1805377 and cancer risk were evaluated by odds ratios (ORs) using a random effects model and 95% confidence intervals (CIs) as well as sensitivity and subgroup analyses.

resultsAfter inclusion criteria were met, the meta-analysis involved 24 studies that included 9,633 cancer patients and 10,544 healthy controls. No significant association was found between rs1805377 and the risk of cancer (pooled OR = 1.107; 95% CI = 0.955-1.284) in the dominant genetic model. Similarly, no significant association was observed in the subgroup analysis.

conclusionsThrough this meta-analysis, we found no association between the rs1805377 polymorphism and cancer occurrence. This may provide useful information for relevant future studies into the etiology of cancer.

Indexed as

Genetic Predisposition to DiseaseCase-Control StudiesDNA-Binding ProteinsHealthy VolunteersHumansNeoplasmsPolymorphism, Single NucleotideRisk FactorsDNA-Binding ProteinsXRCC4 protein, humancancerDNA double-strand breaksmeta-analysispolymorphismsusceptibility geneXRCC4

Identifiers

PMID32493081
PMCPMC7273771
OpenAlexW3032123446

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.