Confidence interval for the AUC of SROC curve and some related methods using bootstrap for meta-analysis of diagnostic accuracy studies

–The area under the curve (AUC) of summary receiver operating characteristic (SROC) is a primary statistical outcome for meta-analysis diagnostic test accuracy studies (DTA). However, its confidence interval has not been reported in most DTA meta-analyses, because no certain methods and packages have provided. In this article, we provide bootstrap algorithm computing AUC. Also, using framework, can conduct assessing significance difference AUCs two tests. addition, an influence method based on AUC by leave-one-study-out analyses. We present illustrative examples met-analyses tests cervical cancer asthma. also developed easy-to-handle R package dmetatools these computations. The various quantitative evidence provided certainly supports interpretations precise evaluations meta-analyses.