Evidence map›Paper›PMID 33392270›Full record

ReviewFrontiers in cardiovascular medicine2020

Role of Exosomal miRNAs in Heart Failure.

Ruicong Xue, Weiping Tan, Yuzhong Wu, Bin Dong, Zengshuo Xie, Peisen Huang, Jiangui He, Yugang Dong, Chen Liu

Abstract readReview
In one paragraph

Review in Frontiers in cardiovascular medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 3 pooled it
–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

30 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

9 authors.

Ruicong XueDepartment of Cardiology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Weiping TanDepartment of Respiratory, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Yuzhong WuDepartment of Cardiology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Bin DongDepartment of Cardiology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Zengshuo XieDepartment of Cardiology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Peisen HuangDepartment of Cardiology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Jiangui HeDepartment of Cardiology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Yugang DongDepartment of Cardiology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Chen LiuDepartment of Cardiology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heart failure is the terminal outcome of the majority of cardiovascular diseases, which lacks specific diagnostic biomarkers and therapeutic targets. It contributes to most of cardiovascular hospitalizations and death despite of the current therapy. Therefore, it is important to explore potential molecules improving the diagnosis and treatment of heart failure. MicroRNAs (miRNAs) are small non-coding RNAs that have been reported to be involved in regulating processes of heart failure. After the discovery of miRNAs in exosomes, the subcellular distribution analysis of miRNAs is raising researchers' attention. Growing evidence demonstrates that exosomal miRNAs may be promising diagnostic and therapeutic molecules for heart failure. This review summarizes the role of exosomal miRNAs in heart failure in the prospect of molecular and clinical researches.

Indexed as

cardiac fibrosiscardiomyocyte hypertrophyexosomal miRNAsheart failuremyocardial angiogenesis

Identifiers

PMID33392270
PMCPMC7773699

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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.