Evidence map›Paper›PMID 33019412›Full record

ArticleMedicine2020

Diagnostic performance of circulating MicroRNAs in acute ischemic stroke: A protocol for systematic review and meta-analysis.

Wenzhai Cao, Ting Zhang, Lizhen Wang, Jing Fu, Hongchuan Jin

Abstract read
In one paragraph

Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Wenzhai CaoLaboratory of Cancer Biology, Key Lab of Biotherapy in Zhejiang, Sir Run Run Shaw Hospital, Medical School of Zhejiang University, Hangzhou, Zhejiang.
Ting ZhangDepartment of Nursing, Sichuan Vocational College of Health and Rehabilitation, Zigong.
Lizhen WangSchool of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu.
Jing FuSchool of Nursing, SouthWest Medical University, Luzhou, Sichuan, P.R. China.
Hongchuan JinLaboratory of Cancer Biology, Key Lab of Biotherapy in Zhejiang, Sir Run Run Shaw Hospital, Medical School of Zhejiang University, Hangzhou, Zhejiang.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIncreasing evidences showed differential expression of circulating microRNAs (miRNAs) in patients with acute ischemic stroke (AIS), indicating that miRNAs might serve as promising biomakers in the diagnosis of AIS. However, their accuracy has not been systematically evaluated, so it is necessary to conducted a meta-analysis to evaluate the diagnostic value of miRNAs in AIS patients.

methodsPubMed, EMBASE, Cochrane Library, Web of Science, Medline, China National Knowledge Infrastructure (CNKI) will be searched for the relevant studies that explored the potential diagnostic values of miRNAs in AIS patients from inception to August 2020. Data will be extracted by two researchers independently; risk of bias of the meta-analysis will be evaluated by the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2). Data will be synthesised and heterogeneity will be evaluated. All of the above statistical analysis will be performed using Stata V.15.0 and Meta-disc V.1.4.

resultsThis study will assess the pooled diagnostic performance of circulating miRNAs in AIS.

conclusionThis study will clarify confusions about the specificity and sensitivity of circulating miRNAs in diagnosing AIS, which could further guide the promotion and application of them.Open Science Framework (OSF) registration number: 2020, August 19. https://osf.io/6tjf3.

Indexed as

Brain IschemiaCirculating MicroRNAHumansMeta-Analysis as TopicResearch DesignSensitivity and SpecificityStrokeSystematic Reviews as TopicCirculating MicroRNA

Identifiers

PMID33019412
PMCPMC7535693

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Registered trials

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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.