Evidence map›Paper›PMID 34742352›Full record

ArticleGenes and environment : the official journal of the Japanese Environmental Mutagen Society2021

Associations between ADIPOQ rs2241766 SNP and breast cancer risk: a systematic review and a meta-analysis.

Xue Hu, Chunguo Cui, Tong Sun, Wan Wang

Abstract read
In one paragraph

Article in Genes and environment : the official journal of the Japanese Environmental Mutagen Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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.

Xue HuDepartment of Breast Surgery, China-Japan Union Hospital of Jilin University, 126 Xiantai Blvd, 130033, Changchun, China.
Chunguo CuiDepartment of Breast Surgery, China-Japan Union Hospital of Jilin University, 126 Xiantai Blvd, 130033, Changchun, China.
Tong SunDepartment of Breast Surgery, China-Japan Union Hospital of Jilin University, 126 Xiantai Blvd, 130033, Changchun, China.
Wan WangDepartment of Breast Surgery, China-Japan Union Hospital of Jilin University, 126 Xiantai Blvd, 130033, Changchun, China. wwan@jlu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe aimed to conduct a meta-analysis to accurately evaluate the potential association between ADIPOQ rs2241766 gene SNP and breast cancer risk.

methodsA systematic literature search on Cochrane Library, PubMed, Embase, Web of Science and China National Knowledge Infrastructure (CNKI) identified 8 articles with 1692 cases and 1890 controls. Strength of association was evaluated by pooled odds ratio (OR), 95 % confidence interval (CI) and p value. Funnel plots and Begger's regression test were applied for testing the publication bias. Statistical analysis of all data was performed by Stata 12.0.

resultsThe meta-analysis results indicated that the ADIPOQ rs2241766 gene polymorphism did not significantly associated with the risk of breast cancer for these genetic models (TT vs. TG + GG: OR = 1.20, 95 % CI = 0.77-1.89, p=0.417; TT + TG vs. GG: OR = 1.05, 95 % CI = 0.71-1.56, p=0.805; T vs. G: OR =1.17, 95 % CI = 0.79-1.74, p=0.437).

conclusionsThis study indicated that no significant relationship between the ADIPOQ rs2241766 SNP and breast cancer. Further large-scale and well-designed studies will be indispensable to confirm our result.

Indexed as

BreastCancerGeneticsMeta-analysisPolymorphism

Identifiers

PMID34742352
PMCPMC8572453

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