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Meta-analysis of diagnostic test accuracy (DTA) is the powerful statisticalmethod for synthesizing and evaluating the diagnostic capacity of the medicaltests and has been extensively used by clinical physicians and healthcaredecision-makers. However, publication bias (PB) threatens the validity ofmeta-analysis of DTA. Some statistical methods have been developed to deal withPB in meta-analysis of DTA, but implementing these methods requires high-levelstatistical knowledge and programming skill. To assist non-technical users inrunning most routines in meta-analysis of DTA and handling with PB, wedeveloped an interactive application, DTAmetasa. DTAmetasa is developed withthe web-based graphical user interface based on the R shiny framework. Itallows users to upload data and conduct meta-analysis of DTA by "point andclick" operations. Moreover, DTAmetasa provides the sensitivity analysis of PBand presents the graphical results to evaluate the magnitude of the PB undervarious publication mechanisms. In this study, we introduce the functionalitiesof DTAmetasa and use the real-world meta-analysis to show its capacity fordealing with PB.

DTAmetasa: an R shiny application for meta-analysis of diagnostic test accuracy and sensitivity analysis of publication bias