Meta-DTA

Generally, when performing a meta-analysis of diagnostic tests, summary measures, such as sensitivity, specificity, and diagnostic odds ratios, are employed. However, they may not be adequate to integrate studies of diseases with varying prevalence . On the other hand, the cutoff points of the different studies are often unknown or heterogeneous, which is an added problem while using the abovementioned summary measures because they depend on a direct form of the cutoff points of cutused . When performing meta-analyses, it is also essential to consider the heterogeneity between studies. Therefore, before meta-analyses, all these aspects should be carefully analyzed before selecting the appropriate model to be used. The literature provides several models for this purpose, but choosing the most appropriate model in each case is complicated., especially for low-prevalence diseases . In addition, several programs are available, and R, STATA, and SAS are among the most used. However, sel