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.

翻译：诊断试验准确性（DTA）的Meta分析是用于综合和评估医学检验诊断能力的强大统计方法，已被临床医生和医疗决策者广泛使用。然而，发表偏倚（PB）对DTA meta分析的有效性构成威胁。目前已有一些统计方法用于处理DTA meta分析中的PB问题，但这些方法的实现需要高水平的统计学知识和编程技能。为帮助非技术用户完成DTA meta分析中的大多数常规操作并处理PB问题，我们开发了一个交互式应用程序——DTAmetasa。该程序基于R Shiny框架开发，具有基于Web的图形用户界面，允许用户通过"点击式"操作上传数据并进行DTA meta分析。此外，DTAmetasa还提供PB的敏感性分析，并以图形结果呈现多种发表机制下的PB程度。本研究介绍了DTAmetasa的功能，并使用实际meta分析案例展示了其处理PB的能力。