Diagnostic accuracy of metagenomic next-generation sequencing in diagnosing infectious diseases: a meta-analysis.

ABSTRACT: Many common pathogens are difficult or impossible to detect using conventional microbiological tests. However, the rapid and untargeted nature of metagenomic next-generation sequencing (mNGS) appears to be a promising alternative. To perform a systematic review and meta-analysis of evidence regarding the diagnostic accuracy of mNGS in patients with infectious diseases. An electronic literature search of Embase, PubMed and Scopus databases was performed. Quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 tool. Summary receiver operating characteristics (sROC) and the area under the curve (AUC) were calculated; A random-effects model was used in cases of heterogeneity. A total of 20 papers were eligible for inclusion and synthesis. The sensitivity and specific

SUBMITTER: Liu J 

PROVIDER: S-EPMC9723114 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature