Suppr超能文献

环状 RNA-UCA1 在膀胱癌诊断中的应用:一项荟萃分析。

lncRNA-UCA1 in the diagnosis of bladder cancer: A meta-analysis.

机构信息

Department of Urology, China-Japan Friendship Hospital, Beijing 100029, China.

出版信息

Medicine (Baltimore). 2021 Mar 19;100(11):e24805. doi: 10.1097/MD.0000000000024805.

Abstract

BACKGROUND

The main purpose of this study is to systematically evaluate the diagnostic value of long-chain non-coding RNA urothelial carcinoembryonic antigen 1 (lncRNA-UCA1) for bladder cancer, and to provide a scientific basis for the diagnosis of bladder cancer.

METHODS

By searching PubMed, Web of Science, EMBASE, CNKI, Wanfang, Weipu and other databases, in order to collect relevant literature of lncRNA-UCA1 for diagnosis of bladder cancer. The starting and ending time of the search is from the establishment of the database to December 31, 2019. Screen documents and extract data according to inclusion and exclusion criteria. QUADAS entry tool was used to evaluate the quality of literature. Meta-Disc 1.4 and Stata 12.0 software were used for statistical analysis, and UCA1 was combined for the statistics of bladder cancer diagnosis.

RESULTS

A total of 7 articles were included in this study, including 954 cases of bladder cancer patients and 482 cases of non-bladder cancer patients. The receiver operating characteristic curve (ROC) curve AUC of lncRNA-UCA1 used to diagnose bladder cancer was 0.86. The sensitivity was 0.83 (95% CI: 0.80-0.85), and the specificity was 0.86 (95% CI: 0.82-0.89). The positive likelihood ratio is 6.38 (95% CI: 3.01-13.55), and the negative likelihood ratio is 0.20 (95% CI: 0.13-0.31). The diagnostic odds ratio is 33.13 (95% CI: 11.16-98.33).

CONCLUSION

lncRNA-UCA1 has a high value of clinical auxiliary diagnosis for bladder cancer, and it can be further promoted and applied clinically.

摘要

背景

本研究的主要目的是系统评价长链非编码 RNA 尿路上皮癌胚抗原 1(lncRNA-UCA1)在膀胱癌诊断中的价值,为膀胱癌的诊断提供科学依据。

方法

通过检索 PubMed、Web of Science、EMBASE、CNKI、万方、维普等数据库,收集 lncRNA-UCA1 诊断膀胱癌的相关文献。检索时间从数据库建立至 2019 年 12 月 31 日。根据纳入和排除标准筛选文献并提取数据。使用 QUADAS 条目工具评价文献质量。采用 Meta-Disc 1.4 和 Stata 12.0 软件进行统计学分析,对膀胱癌诊断进行 UCA1 联合统计。

结果

本研究共纳入 7 篇文献,包括膀胱癌患者 954 例,非膀胱癌患者 482 例。lncRNA-UCA1 诊断膀胱癌的受试者工作特征曲线(ROC)曲线下面积(AUC)为 0.86。敏感度为 0.83(95%CI:0.80-0.85),特异度为 0.86(95%CI:0.82-0.89)。阳性似然比为 6.38(95%CI:3.01-13.55),阴性似然比为 0.20(95%CI:0.13-0.31)。诊断比值比为 33.13(95%CI:11.16-98.33)。

结论

lncRNA-UCA1 对膀胱癌具有较高的临床辅助诊断价值,可进一步在临床上推广应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba65/7982181/216c24e3ffe8/medi-100-e24805-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验