MetaDTA

MetaDTA performs meta-analysis of diagnostic test accuracy to evaluate diagnostic test performance across studies and assess the impact of publication bias.

Key Features:

• R Shiny implementation: Implemented in R Shiny.
• Comprehensive meta-analysis capabilities: Tailored to synthesize and evaluate diagnostic test performance across studies using advanced statistical methods for diagnostic test accuracy meta-analysis.
• Publication bias sensitivity analysis: Includes functionality to conduct sensitivity analyses assessing publication bias under various hypothetical scenarios.
• Graphical result presentation: Produces graphical outputs illustrating the magnitude and implications of publication bias on diagnostic accuracy estimates.

Scientific Applications:

• Clinical evaluation of diagnostic tests: Provides meta-analytic estimates of diagnostic accuracy to support clinicians in evaluating test performance.
• Health policy and resource allocation: Informs healthcare policymakers about the robustness of diagnostic test evidence and potential effects of publication bias on policy decisions.

Methodology:

Performs diagnostic test accuracy meta-analysis and publication-bias sensitivity analyses, generates graphical visualizations of bias scenarios, and is implemented in R Shiny.