Paper Info
Title
Potential biomarker for breast cancer screening: A systematic review and meta-analysis.
Abstract
Abstract It is aimed of evaluating the clinical significance of miR-155 on diagnosing human breast cancer. Method: Eligible studies were identified through multiple search strategies. The search was updated up until April 10, 2017. Fagan’s nomogram, Publication bias, meta-regression, sensitive analysis, area under the summary receiver operating characteristic (AUC), diagnostic odds ratio (DOR) as well as pooled sensitivity and specificity were utilized to assess the capacity of miR-155 for diagnosis. The meta-analysis was conducted and the origin of heterogenic property was investigated by Stata SE 12.0 and Meta-Disc software. Results: The meta-analysis contained nine articles totally with the AUC, DOR, specificity, pooled sensitivity of 36.45 (95 % CI 9.77–136.04), 0.92 (95 % CI 0.89–0.94), 0.82 (95 % CI 0.67–0.91) and 0.89 (95 % CI 0.77–0.95) separately. The negative and positive likelihood ratios were 0.14 and 5. Moreover, the heterogeneity was obviously apparent but resulted from neither sensitivity analyses nor threshold effect. Conclusion: The evidence from this study indicates that miR-155 exhibits satisfactory performance on diagnosis for breast cancer (BC).
Year
DOI
Venue
2019
10.1016/j.future.2018.09.030
Future Generation Computer Systems
Keywords
Field
DocType
Diagnosis,MicroRNA-155,Biomarker,Breast cancer
Oncology,Receiver operating characteristic,Diagnostic odds ratio,Breast cancer,Nomogram,Computer science,Internal medicine,Breast cancer screening,Real-time computing,Biomarker (medicine),Meta-analysis,Publication bias
Journal
Volume
ISSN
Citations 
91
0167-739X
0
PageRank 
References 
Authors
0.34
0
9
Name
Order
Citations
PageRank
Yurong Wang100.68
Guijuan Zhang26713.28
Xiaoqian Hao300.68
Yi Ma400.68
Min Ma500.68
Xianxin Yan600.68
Xuefeng Jiang700.68
Fengjie Bie800.68
Naijun Yuan900.68