DTAmetasa：一个R shining应用程序，用于诊断试验准确性的荟萃分析和发表偏倚的敏感性分析
DTAmetasa: an R shiny application for meta-analysis of diagnostic test accuracy and sensitivity analysis of publication bias
摘要：
诊断试验准确性（DTA）的荟萃分析是综合和评价医学试验诊断能力的有力统计方法，已被临床医师和医疗决策者广泛应用。然而，发表偏倚（PB）威胁到DTA的荟萃分析的有效性。在DTA的荟萃分析中，已经开发了一些统计方法来处理PB，但实施这些方法需要高水平的统计知识和编程技能。为了帮助非技术用户在DTA的荟萃分析和PB处理中运行大多数例程，我们开发了一个交互式应用程序DTAmetasa。DTAmetasa是基于R shiny框架开发的基于Web的图形用户界面。它允许用户通过“点击”操作上传数据并进行DTA的荟萃分析。此外，DTAmetasa提供了PB的敏感性分析，并提供了图形结果，以评估各种出版机制下PB的大小。在这项研究中，我们介绍了DTAmetasa的功能，并使用现实世界的荟萃分析，以显示其处理PB的能力。
英文摘要：
Meta-analysis of diagnostic test accuracy (DTA) is the powerful statistical method for synthesizing and evaluating the diagnostic capacity of the medical tests and has been extensively used by clinical physicians and healthcare decision-makers. However, publication bias (PB) threatens the validity of meta-analysis of DTA. Some statistical methods have been developed to deal with PB in meta-analysis of DTA, but implementing these methods requires high-level statistical knowledge and programming skill. To assist non-technical users in running most routines in meta-analysis of DTA and handling with PB, we developed an interactive application, DTAmetasa. DTAmetasa is developed with the web-based graphical user interface based on the R shiny framework. It allows users to upload data and conduct meta-analysis of DTA by "point and click" operations. Moreover, DTAmetasa provides the sensitivity analysis of PB and presents the graphical results to evaluate the magnitude of the PB under various publication mechanisms. In this study, we introduce the functionalities of DTAmetasa and use the real-world meta-analysis to show its capacity for dealing with PB.
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