Literature DB >> 29064535

Diagnostic performance of microRNA-133a in acute myocardial infarction: A meta-analysis.

Lei Zhu1, Fuyuan Liu, Hua Xie, Jin Feng.   

Abstract

BACKGROUND: The aim of this study was to evaluate the diagnostic performance of microRNA-133a in the diagnosis of acute myocardial infarction (AMI).
METHODS: Major databases including PubMed, Embase and the Cochrane Library were searched for case-controlled studies comparing AMI and non-AMI patients. The outcome was evaluated by the relative expression of microRNA-133a in plasma or serum. The Mantel-Haenszel odds ratio (OR) was calculated using a fixed-effects model meta-analysis for the outcome. The primary outcomes of interest were pooled sensitivity, specificity and diagnostic accuracy of microRNA-133a for AMI.
RESULTS: Out of 137 identified related articles, 10 were found to conform with the inclusion and ex-clusion criteria of the study. The 10 case-controlled studies contained complete data for 1,074 patients (with no restrictions of race, age or sex), and a database containing 137 patients from the registry of each study. In addition to low heterogeneity, a statistically significant increase was found in overall microRNA-133a expression between AMI vs. non-AMI; the pooled OR was 22.84 (95% confidence interval [CI] 13.87-37.63), sensitivity was 0.84 (95% CI 0.75-0.90), specificity was 0.82 (95% CI 0.74-0.89) and area under curve (AUC) was 0.90 (95% CI 0.87-0.92).
CONCLUSIONS: Based on the meta-analysis of ten case-controlled studies including 1,074 patients,it was found that the level of microRNA-133a in blood serum or plasma maybe used as a diagnostic biomarker of AMI.

Entities:  

Keywords:  acute myocardial infarction; diagnostic accuracy/value/performance; meta-analysis; microRNA-133a/miR-133a

Mesh:

Substances:

Year:  2017        PMID: 29064535     DOI: 10.5603/CJ.a2017.0126

Source DB:  PubMed          Journal:  Cardiol J        ISSN: 1898-018X            Impact factor:   2.737


  3 in total

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Review 2.  A Roadmap for Fixing the Heart: RNA Regulatory Networks in Cardiac Disease.

Authors:  Rong Tang; Tianxin Long; Kathy O Lui; Yili Chen; Zhan-Peng Huang
Journal:  Mol Ther Nucleic Acids       Date:  2020-04-25       Impact factor: 8.886

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Authors:  Lijie Wang; Yuanzhe Jin
Journal:  Biomed Res Int       Date:  2020-04-01       Impact factor: 3.411

  3 in total

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