Increasing evidence points to a negative correlation between @entity984 mutations and @entity1 ' responses to anti- @entity470 monoclonal antibody treatment. Therefore, @entity1 must undergo @entity984 mutation detection to be eligible for treatment. @entity2101 ( @entity2101 ) is gaining increasing attention in @entity984 mutation detection. However, its accuracy has not been systematically evaluated. We conducted a meta-analysis of published articles, involving 13 articles with 1,520 samples, to assess its diagnostic accuracy compared with DNA sequencing. The quality of included articles was assessed using the revised Quality Assessment for Studies of Diagnostic Accuracy (QUADAS-2) tools. Random effects models were applied to analyze the performance of pooled characteristics. The overall sensitivity and specificity of @entity2101 were 0.99 (95% confidence interval [CI]: 0.98-1.00) and 0.96 (95%CI: 0.94-0.97), respectively. The area under the summary receiver operating characteristic curve was 0.996. High sensitivity and specificity, less labor, rapid turn-around and the closed-tube format of @entity2101 make it an attractive choice for rapid detection of @entity984 mutations in clinical practice. The burden of DNA sequencing can be reduced dramatically by the implementation of @entity2101 , but positive results still need to be sequenced for diagnostic confirmation.

Diagnostic accuracy of high resolution melting analysis for detection of XXXX mutations: a systematic review and meta-analysis.

@entity984 :: ('3845', 'Gene') :: ['KRAS'] @entity1 :: ('9606', 'Species') :: ['patients'] @entity2101 :: ('MESH:C538394', 'Disease') :: ['High resolution melting analysis', 'HRM'] @entity470 :: ('1956', 'Gene') :: ['EGFR']
@entity984 :: (3845,Gene) :: ['KRAS']
