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6个单核苷酸多态性与卵巢癌风险关联的有力累积证据:一项伞状综述

Strong Cumulative Evidence of Associations of 6 Single Nucleotide Polymorphisms with Ovarian Cancer Risk: An Umbrella Review.

作者信息

Huo Ying-Jun, Li Xiao-Ying, Zhang Meng, Gao Chang, Xiao Qian, Zhao Yu-Hong, Gao Song, Gong Ting-Ting, Wu Qi-Jun

机构信息

Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang 110004, China.

Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang 110004, China.

出版信息

J Clin Med. 2023 Mar 3;12(5):2025. doi: 10.3390/jcm12052025.

Abstract

: An increasing number of studies have reported associations between single nucleotide polymorphisms (SNPs) and ovarian cancer (OC) risk. However, some of the findings were inconsistent. The objective of this umbrella review was to evaluate the associations comprehensively and quantitatively. The protocol of this review was registered in PROSPERO (No. CRD42022332222). We searched the PubMed, Web of Science, and Embase databases to identify related systematic reviews and meta-analyses from inception to 15 October 2021. In addition to estimating the summary effect size by using fixed and random effects models and calculating the 95% prediction interval, we evaluated the cumulative evidence for associations with nominally statistical significance based on the Venice criteria and false positive report probability (FPRP). : Forty articles were included in this umbrella review, which referred to a total of 54 SNPs. The median number of original studies per meta-analysis was four, while the median number of total subjects was 3455. All included articles had greater than moderate methodological quality. A total of 18 SNPs were nominally statistically associated with OC risk; 6 SNPs (8 genetic models), 5 SNPs (7 genetic models), and 16 SNPs (25 genetic models) were identified as strong, moderate, and weak cumulative evidence, respectively. : This umbrella review revealed associations between SNPs and OC risk and suggested strong cumulative evidence of associations of six SNPs (eight genetic models) with OC risk.

摘要

越来越多的研究报告了单核苷酸多态性(SNP)与卵巢癌(OC)风险之间的关联。然而,一些研究结果并不一致。本系统性综述的目的是全面、定量地评估这些关联。本综述方案已在国际前瞻性系统评价注册库(PROSPERO,注册号:CRD42022332222)登记。我们检索了PubMed、Web of Science和Embase数据库,以识别从数据库建库至2021年10月15日的相关系统性综述和荟萃分析。除了使用固定效应模型和随机效应模型估计汇总效应量并计算95%预测区间外,我们还根据威尼斯标准和假阳性报告概率(FPRP)评估了具有名义统计学意义的关联的累积证据。本系统性综述纳入了40篇文章,共涉及54个SNP。每项荟萃分析纳入的原始研究中位数为4项,而研究对象总数的中位数为3455名。所有纳入文章的方法学质量均高于中等水平。共有18个SNP与OC风险存在名义上的统计学关联;分别有6个SNP(8种遗传模型)、5个SNP(7种遗传模型)和16个SNP(25种遗传模型)被确定为具有强、中、弱累积证据。本系统性综述揭示了SNP与OC风险之间的关联,并表明6个SNP(8种遗传模型)与OC风险存在关联具有强有力的累积证据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06e8/10004083/08ab139b23ed/jcm-12-02025-g001.jpg

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