Evidence map›Paper›PMID 32522208›Full record

ArticleDiagnostic pathology2020

Diagnostic value of miR-92a in asymptomatic carotid artery stenosis patients and its ability to predict cerebrovascular events.

Gang Chen, Jianwei Gao, Yuguo Sheng, Xinqiang Han, Xingang Ji, Mengpeng Zhao, Jian Wu

Abstract read
In one paragraph

Article in Diagnostic pathology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Review
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  7. Genomic Variants and Multilevel Regulation ofJournal of cardiovascular development and disease · 2021
    Review
  8. Article
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  12. LncRNA NEXN-AS1 Serves as a Diagnostic Biomarker for Carotid Artery Stenosis, Forecasting Cerebral Ischemic Events.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    Article
4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Gang ChenDepartment of Vascular Interventional, Binzhou Medical University Hospital, Binzhou, 256603, China.
Jianwei GaoDepartment of Vascular Interventional, Binzhou Medical University Hospital, Binzhou, 256603, China.
Yuguo ShengDepartment of Vascular Interventional, Binzhou Medical University Hospital, Binzhou, 256603, China.
Xinqiang HanDepartment of Vascular Interventional, Binzhou Medical University Hospital, Binzhou, 256603, China.
Xingang JiDepartment of Vascular Interventional, Binzhou Medical University Hospital, Binzhou, 256603, China.
Mengpeng ZhaoDepartment of Vascular Interventional, Binzhou Medical University Hospital, Binzhou, 256603, China.
Jian WuDepartment of Vascular Interventional, Binzhou Medical University Hospital, Binzhou, 256603, China. tjewuo2@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly diagnosis of asymptomatic carotid artery stenosis (ACAS) is important to prevent the incidence of cerebrovascular events. This study aimed to investigate the circulating expression of microRNA-92a (miR-92a) in ACAS patients and evaluate its diagnostic value for ACAS and predictive value for cerebrovascular events.

methodsCirculating expression of miR-92a was measured using quantitative real-time PCR. Chi-square test was used to analyze the association of miR-92a with ACAS patients' clinical characteristics. A receiver operating characteristic (ROC) was used to evaluate the diagnostic value of miR-92a, and the Kaplan-Meier method and Cox regression analysis were used to assess the predictive value of miR-92a for cerebrovascular events.

resultsSerum expression of miR-92a was higher in ACAS patients than that in the healthy controls (P <  0.001), and associated with patients' degree of carotid stenosis (P = 0.013). The elevated miR-92a expression could distinguish ACAS patients from healthy individual, and was an independent predictive factor for the occurrence of cerebrovascular events (P = 0.015).

conclusionThe data from this study indicated that circulating increased miR-92a may serve as a noninvasive diagnostic biomarker for ACAS and a potential risk factor for the future onset of cerebrovascular events.

Indexed as

AgedBiomarkersCarotid StenosisCerebrovascular DisordersEarly DiagnosisFemaleHumansMaleMicroRNAsMiddle AgedBiomarkersMicroRNAsMIRN92 microRNA, humanAsymptomatic carotid artery stenosisCerebrovascular eventsDiagnosismicroRNA-92a

Identifiers

PMID32522208
PMCPMC7285548

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.