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拉曼光谱技术诊断肝细胞癌的效能:系统评价和荟萃分析方案。

Efficacy of Raman spectroscopy in the diagnosis of hepatocellular carcinoma: A protocol for systematic review and meta-analysis.

机构信息

Department of Liver Surgery & Liver Transplantation Center, West China Hospital, Sichuan University.

Department of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University; Key Laboratory of Obstetric & Gynecologic and Pediatric Disease and Birth Defects of Ministry of Education.

出版信息

Medicine (Baltimore). 2020 Dec 24;99(52):e23884. doi: 10.1097/MD.0000000000023884.

Abstract

BACKGROUND

To comprehensively analyze the relative effectiveness of Raman spectroscopy (RS) in the diagnosis of suspected hepatocellular carcinoma (HCC).

METHODS

We will perform a complete systematic review based on studies from PubMed/Medline, EMBASE, Web of Science, Ovid, Web of Knowledge, Cochrane Library and CNKI. We plan to identify over 2000 spectra with strict criteria in several individual studies published between January 2008 and November 2020 in accordance to Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. We are going to summarize the test performance using random effects models.

RESULTS

This study will provide solid evidence and data on the sensitivity, specificity and accuracy of RS in the diagnosis of HCC.

CONCLUSION

Through this meta-analysis, we intend to provide the pooled sensitivity, specificity and diagnostic accuracy of RS in the diagnosis of suspected HCC. Other parameters like positive LR, negative LR, DOR and AUC of the SROC curve will also be calculated and drawn to help illustrate the efficacy of RS in the diagnosis of HCC.

摘要

背景

全面分析拉曼光谱(RS)在疑似肝细胞癌(HCC)诊断中的相对有效性。

方法

我们将根据 2008 年 1 月至 2020 年 11 月期间发表的几个单独研究中的严格标准,从 PubMed/Medline、EMBASE、Web of Science、Ovid、Web of Knowledge、Cochrane Library 和 CNKI 进行全面系统的综述。我们计划根据系统评价和荟萃分析的首选报告项目(PRISMA)准则,确定 2000 多个具有严格标准的光谱。我们将使用随机效应模型总结测试性能。

结果

这项研究将为 RS 在 HCC 诊断中的敏感性、特异性和准确性提供可靠的证据和数据。

结论

通过这项荟萃分析,我们旨在提供 RS 在疑似 HCC 诊断中的汇总敏感性、特异性和诊断准确性。还将计算和绘制阳性似然比、阴性似然比、诊断比值比和 SROC 曲线的 AUC 等其他参数,以帮助说明 RS 在 HCC 诊断中的疗效。

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