Evidence map›Paper›PMID 33670057›Full record

ReviewMolecules (Basel, Switzerland)2021

Circular RNAs in Sudden Cardiac Death Related Diseases: Novel Biomarker for Clinical and Forensic Diagnosis.

Meihui Tian, Zhipeng Cao, Hao Pang

Open access · goldAbstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 26% of its field
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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Observational
  2. Review
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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

3 authors at 1 institution in 1 country.

Meihui TianDepartment of Forensic Genetics and Biology, School of Forensic Medicine, China Medical University, No.77 Puhe Road, Shenyang North New Area, Shenyang 110122, China.
Zhipeng CaoDepartment of Forensic Pathology, School of Forensic Medicine, China Medical University, No.77 Puhe Road, Shenyang North New Area, Shenyang 110122, China.ORCID 0000-0002-4275-0788
Hao PangDepartment of Forensic Genetics and Biology, School of Forensic Medicine, China Medical University, No.77 Puhe Road, Shenyang North New Area, Shenyang 110122, China.
China Medical University · CN

Funding

National Natural Science Foundation of China 82002001the Natural Science Foundation of Liaoning Province 20180530004
6 · The paper itself

Abstract

The prevention and diagnosis of sudden cardiac death (SCD) are among the most important keystones and challenges in clinical and forensic practice. However, the diagnostic value of the current biomarkers remains unresolved issues. Therefore, novel diagnostic biomarkers are urgently required to identify patients with early-stage cardiovascular diseases (CVD), and to assist in the postmortem diagnosis of SCD cases without typical cardiac damage. An increasing number of studies show that circular RNAs (circRNAs) have stable expressions in myocardial tissue, and their time- and tissue-specific expression levels might reflect the pathophysiological status of the heart, which makes them potential CVD biomarkers. In this article, we briefly introduced the biogenesis and functional characteristics of circRNAs. Moreover, we described the roles of circRNAs in multiple SCD-related diseases, including coronary artery disease (CAD), myocardial ischemia or infarction, arrhythmia, cardiomyopathy, and myocarditis, and discussed the application prospects and challenges of circRNAs as a novel biomarker in the clinical and forensic diagnosis of SCD.

Indexed as

Forensic MedicineBiomarkersCoronary Artery DiseaseDeath, Sudden, CardiacHumansRNA, CircularBiomarkersRNA, Circularbiomarkercircular RNAdiagnosisforensicsudden cardiac death

Identifiers

PMID33670057
PMCPMC7926443
OpenAlexW3131918325

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.