Evidence map›Paper›PMID 33291434›Full record

ReviewInternational journal of molecular sciences2020

Non-Coding RNAs as Blood-Based Biomarkers in Cardiovascular Disease.

Raquel Figuinha Videira, Paula A da Costa Martins, Inês Falcão-Pires

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Microproteins in skeletal muscle: hidden keys in muscle physiology.Journal of cachexia, sarcopenia and muscle · 2022
    Review
  8. Review
  9. The critical role of epigenetic mechanism in PMGenes and environment : the official journal of the Japanese Environmental Mutagen Society · 2021
    Review
  10. Association betweenJournal of personalized medicine · 2021
    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

3 authors.

Raquel Figuinha VideiraCARIM School for Cardiovascular Diseases, Faculty of Health, Medicine and Life Sciences, Maastricht University, 6229 ER Maastricht, The Netherlands.
Paula A da Costa MartinsCARIM School for Cardiovascular Diseases, Faculty of Health, Medicine and Life Sciences, Maastricht University, 6229 ER Maastricht, The Netherlands.
Inês Falcão-PiresCardiovascular Research and Development Center, Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal.

Funding

Dutch Cardiovascular Alliance (DCVA) 2012-08, 2014-11, Phaedra Impact ConsortiumFundação para a Ciência e a Tecnologia SFHR/BD/129507/2017Hartstichting NHS2015T066
6 · The paper itself

Abstract

In 2020, cardiovascular diseases (CVDs) remain a leading cause of mortality and morbidity, contributing to the burden of the already overloaded health system. Late or incorrect diagnosis of patients with CVDs compromises treatment efficiency and patient's outcome. Diagnosis of CVDs could be facilitated by detection of blood-based biomarkers that reliably reflect the current condition of the heart. In the last decade, non-coding RNAs (ncRNAs) present on human biofluids including serum, plasma, and blood have been reported as potential biomarkers for CVDs. This paper reviews recent studies that focus on the use of ncRNAs as biomarkers of CVDs.

Indexed as

BiomarkersCell-Free Nucleic AcidsAnimalsCardiovascular DiseasesDisease ManagementDisease SusceptibilityHumansPrognosisRNA, UntranslatedBiomarkersCell-Free Nucleic AcidsRNA, Untranslatedbiomarkerscardiovascular diseasesdiagnosisncRNAs

Identifiers

PMID33291434
PMCPMC7730567

What OpenQuestion holds

Textmetadata
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.