Evidence map›Paper›PMID 32285405›Full record

ReviewAdvances in experimental medicine and biology2020

Online Databases and Non-coding RNAs in Cardiovascular Diseases.

Rui Chen, Chao Shi, Jianhua Yao, Wei Chen

Open access · bronzeAbstract readReview
In one paragraph

Review in Advances in experimental medicine and biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.9field-weighted citation impact, top 12% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Non-coding RNA and arrhythmias: expression, function, and molecular mechanism.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2023
    Review
  2. Review
  3. Review
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

4 authors at 3 institutions in 1 country.

Rui ChenShanghai Applied Radiation Institute, School of Environmental and Chemical Engineering, Shanghai University, Shanghai, China.
Chao ShiCardiac Regeneration and Ageing Lab, Institute of Cardiovascular Sciences, School of Life Science, Shanghai University, Shanghai, China.
Jianhua YaoDepartment of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China. yaojianhua@tongji.edu.cn.
Wei ChenEmergency Department, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, China. chenwei_17@126.com.
Shanghai University · CNTongji Hospital · CNTongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular disease is characterized by its highest morbidity and mortality. One of the main pathological basis of this disease is the dysregulation of gene expression. Non-coding RNA (ncRNA) is a kind of functional RNA, which is transcript from DNA but not translated into proteins. More and more studies have established the important roles of ncRNAs, including transcription, RNA maturation, translation, protein degradation, and their involvement in the pathogenesis of diseases such as cancer and cardiovascular diseases. This chapter will focus on the biological functions of ncRNAs and their advances in cardiovascular disease. With the development of sequencing and computer technology, more and more databases can be easily obtained on the internet. In another part of this chapter, we will summarize some commonly used non-coding RNA databases, which can be easily and quickly used for relevant research.

Indexed as

Cardiovascular DiseasesDatabases, Nucleic AcidInternetRNA, UntranslatedGene ExpressionHumansRNA, UntranslatedCardiovascular diseaseNon-coding RNAOnline database

Identifiers

PMID32285405
PMCPMC7153034
OpenAlexW3016469228

What OpenQuestion holds

Textmetadata
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.