Department of Liver Surgery & Liver Transplantation Center.
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.
Medicine (Baltimore). 2021 Jan 8;100(1):e23900. doi: 10.1097/MD.0000000000023900.
We aim to evaluate the efficiency of Raman spectroscopy (RS) in diagnosing suspected patients with intrahepatic cholangiocarcinoma (ICC), manifested by diagnostic sensitivity, specificity, and accuracy.
We will research widely the articles concerning the use of RS in ICC through authenticated database including PubMed/Medline, EMBASE, Web of Science, Ovid, Web of Knowledge, Cochrane Library, and CNKI between January 2012 and November 2020, retrieving at least 1500 spectra with strict criteria. This study will be carried out 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.
Based on the pooled sensitivity, specificity, and diagnostic accuracy, we intend to provide the relative diagnostic efficiency in ICC through RS.
Through this systematic review and meta-analysis, we intend to provide the pooled sensitivity, specificity and diagnostic accuracy of RS in the diagnosis of suspected ICC. Other parameters like positive likelihood ratios (LR), negative LR, diagnostic odds ratio (DOR), and area under curve (AUC) of the summary receiver operating characteristics (SROC) curve will also be calculated and related figures will be drawn to help illustrate the efficacy of RS in the diagnosis of ICC.
本研究旨在评估拉曼光谱（RS）在诊断表现为肝内胆管癌（ICC）的疑似患者中的效率，通过诊断灵敏度、特异性和准确性进行评估。
我们将通过包括 PubMed/Medline、EMBASE、Web of Science、Ovid、Web of Knowledge、Cochrane Library 和中国知网在内的已验证数据库，广泛搜索 2012 年 1 月至 2020 年 11 月期间使用 RS 诊断 ICC 的文章，检索时将使用严格的标准至少检索 1500 个光谱。本研究将按照系统评价和荟萃分析的首选报告项目（PRISMA）指南进行。我们将使用随机效应模型总结测试性能。
基于汇总的敏感性、特异性和诊断准确性，我们旨在通过 RS 提供 ICC 相关的相对诊断效率。
通过本系统评价和荟萃分析，我们旨在提供 RS 在诊断疑似 ICC 中的汇总敏感性、特异性和诊断准确性。其他参数，如阳性似然比（LR）、阴性 LR、诊断比值比（DOR）和汇总受试者工作特征曲线（SROC）曲线下面积（AUC）也将被计算，并绘制相关图形以帮助说明 RS 在 ICC 诊断中的疗效。
