  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.
