Evidence map›Paper›PMID 31323768›Full record

ReviewCells2019

MicroRNAs in Cardiac Diseases.

Robin M W Colpaert, Martina Calore

Abstract readReview
In one paragraph

Review in Cells, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 108 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
108citing 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

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

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
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  7. Urinary biomarkers of diabetic kidney disease.World journal of diabetes · 2026
    Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Biomarkers in Heart Failure: A Review and a Wish.International journal of molecular sciences · 2025
    Review
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. Article

48 more citing papers are in PubMed but not listed here.

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

2 authors.

Robin M W ColpaertIMAiA-Institute for Molecular Biology and RNA Technology, Faculty of Science and Engineering, Faculty of Health, Medicine and Life Sciences, Maastricht University, 6229 ER Maastricht, The Netherlands.
Martina CaloreIMAiA-Institute for Molecular Biology and RNA Technology, Faculty of Science and Engineering, Faculty of Health, Medicine and Life Sciences, Maastricht University, 6229 ER Maastricht, The Netherlands. m.calore@maastrichtuniversity.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since their discovery 20 years ago, microRNAs have been related to posttranscriptional regulation of gene expression in major cardiac physiological and pathological processes. We know now that cardiac muscle phenotypes are tightly regulated by multiple noncoding RNA species to maintain cardiac homeostasis. Upon stress or various pathological conditions, this class of non-coding RNAs has been found to modulate different cardiac pathological conditions, such as contractility, arrhythmia, myocardial infarction, hypertrophy, and inherited cardiomyopathies. This review summarizes and updates microRNAs playing a role in the different processes underlying the pathogenic phenotypes of cardiac muscle and highlights their potential role as disease biomarkers and therapeutic targets.

Indexed as

AnimalsBiomarkersCirculating MicroRNAHeart DiseasesHumansRNAi TherapeuticsBiomarkersCirculating MicroRNAcardiac diseasesheartinherited cardiomyopathiesmiRNA

Identifiers

PMID31323768
PMCPMC6678080

What OpenQuestion holds

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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.