UNASSIGNED: @entity5 is a class of diseases with high mortality rate, characterized by unregulated cell growth. Early diagnosis of @entity5 is currently the most effective method to prevent @entity5 development and improve the survival rate of @entity1 . Traditional diagnostic methods such as biopsy usually provoke discomfort and unpleasant experience. Recently, microRNAs (miRNAs) were widely reported to be potential biomarkers to detect @entity5 without @entity3 . @entity10017 ( @entity10017 , @entity10017 ) is one of the most prevalent miRNAs. This meta-analysis aims to make a comprehensive analysis of the potential role of circulating @entity10017 as a biomarker in @entity1 @entity189 diagnosis. A total of 36 articles involving 2920 @entity5 @entity1 and 1986 healthy controls with regard to the diagnostic value of the circulating @entity10017 for @entity5 detection were selected from online bibliographic databases. For pooled analysis, the sensitivity, specificity, and other basic characteristics were extracted from the 36 included articles. Then, bivariate random-effects model was selected to gain pooled results. Furthermore, to explore the sources of heterogeneity, we conducted stratified and meta-regression analyses based on different race/sample groups. The pooled characteristics of all included articles were as follows: sensitivity, 0.78 (95  % confidence intervals (CI), 0.73-0.82); specificity, 0.82 (95  % CI, 0.79-0.86); positive likelihood ratio (PLR), 4.4 (95  % CI, 3.6-5.4); negative likelihood ratio (NLR), 0.26 (95  % CI, 0.21-0.33); diagnostic odds ratio (DOR), 17 (95  % CI, 12-24); and area under the curve (AUC), 0.87 (95  % CI, 0.84-0.90). The subgroup analyses results based on different ethnic populations revealed that the diagnostic accuracy of @entity10017 tends to be higher in Asian populations than in Caucasian populations. Furthermore, another subgroup analysis performed on sample types suggested that the serum-based specimen used in @entity5 diagnosis appeared to be more accurate than the plasma-based specimen. Our meta-analysis shows that the circulating @entity10017 may be a potential biomarker as diagnostic tool for early-stage @entity5 diagnosis.

Circulating @entity10017 as a biomarker for the detection of various XXXX : an updated meta-analysis based on 36 studies.

@entity1 :: ('9606', 'Species') :: ['human', 'patients'] @entity5 :: ('MESH:D009369', 'Disease') :: ['cancers', 'cancer', 'Cancer'] @entity189 :: ('MESH:D002277', 'Disease') :: ['carcinoma'] @entity10017 :: ('406991', 'Gene') :: ['miRNA-21', 'miR-21', 'MicroRNA-21'] @entity3 :: ('MESH:D009362', 'Disease') :: ['invasiveness']
@entity189 :: (MESH:D002277,Disease) :: ['carcinomas']
