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糖尿病与前列腺癌风险:一项孟德尔随机化分析。

Diabetes mellitus and prostate cancer risk: A mendelian randomization analysis.

作者信息

Yuan Jian-Xu, Jiang Qing, Yu Sheng-Jie

机构信息

Department of Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.

出版信息

World J Diabetes. 2023 Dec 15;14(12):1839-1848. doi: 10.4239/wjd.v14.i12.1839.

DOI:10.4239/wjd.v14.i12.1839
PMID:38222791
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10784790/
Abstract

BACKGROUND

Some studies have directed towards an association between diabetes mellitus (DM) and prostate cancer (PCa); however, this specific relationship remains inconclusive. In recent years, Mendelian randomization (MR) has become a widely used analytical method for inferring epidemiological causes.

AIM

To investigated the potential relationship between DM and PCa using MR.

METHODS

We downloaded relevant data on "diabetes" and "PCa" from the IEU OpenGWAS project database, performed three different methods to conduct MR, and carried out sensitivity analysis for verification.

RESULTS

The results indicated that DM was an independent risk factor for PCa. The odds ratio (OR) values obtained using the inverse variance weighted method in this study were as follows: OR = 1.018 (95% confidence interval: 1.004-1.032), = 0.014.

CONCLUSION

We found that DM could increase the incidence rate of PCa.

摘要

背景

一些研究致力于探讨糖尿病(DM)与前列腺癌(PCa)之间的关联;然而,这种特定关系仍无定论。近年来,孟德尔随机化(MR)已成为一种广泛用于推断流行病学病因的分析方法。

目的

使用孟德尔随机化研究DM与PCa之间的潜在关系。

方法

我们从IEU OpenGWAS项目数据库下载了关于“糖尿病”和“PCa”的相关数据,采用三种不同方法进行孟德尔随机化,并进行敏感性分析以进行验证。

结果

结果表明,DM是PCa的独立危险因素。本研究使用逆方差加权法获得的比值比(OR)值如下:OR = 1.018(95%置信区间:1.004 - 1.032),P = 0.014。

结论

我们发现DM可增加PCa的发病率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04f4/10784790/8d949b8b9fc0/WJD-14-1839-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04f4/10784790/80ec4308ce9c/WJD-14-1839-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04f4/10784790/d7c05655f256/WJD-14-1839-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04f4/10784790/8d949b8b9fc0/WJD-14-1839-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04f4/10784790/80ec4308ce9c/WJD-14-1839-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04f4/10784790/d7c05655f256/WJD-14-1839-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04f4/10784790/8d949b8b9fc0/WJD-14-1839-g003.jpg

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World J Diabetes. 2024 Jun 15;15(6):1367-1373. doi: 10.4239/wjd.v15.i6.1367.
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