Evidence map›Paper›PMID 32195449›Full record

ReviewNon-coding RNA research2020

Aortic valve calcification in the era of non-coding RNAs: The revolution to come in aortic stenosis management?

Joseph Nader, Laurent Metzinger, Pierre Maitrias, Thierry Caus, Valérie Metzinger-Le Meuth

Erratum issuedOpen access · goldAbstract readReview
In one paragraph

Review in Non-coding RNA research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 14% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Aortic valve disease in diabetes: Molecular mechanisms and novel therapies.Journal of cellular and molecular medicine · 2021
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Joseph NaderDepartment of Cardiac Surgery, Amiens University Hospital, Amiens, France.
Laurent MetzingerHEMATIM EA4666, C.U.R.S, Université de Picardie Jules Verne, 80025, AMIENS Cedex 1, France.
Pierre MaitriasDepartment of Vascular Surgery, Polyclinique Saint Côme, Compiègne, France.
Thierry CausDepartment of Cardiac Surgery, Amiens University Hospital, Amiens, France.
Valérie Metzinger-Le MeuthHEMATIM EA4666, C.U.R.S, Université de Picardie Jules Verne, 80025, AMIENS Cedex 1, France.
Centre Hospitalier Universitaire Amiens-Picardie · FRHématopoïèse et immunologie · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aortic valve stenosis remains the most frequent structural heart disease, especially in the elderly. During the last decade, we noticed an important consideration and a huge number of publications related to the medical and surgical treatment of this disease. However, the molecular aspect of this degenerative issue has also been more widely studied recently. As evidenced in oncologic but also cardiac research fields, the emergence of microRNAs in the molecular screening and follow-up makes them potential biomarkers in the future, for the diagnosis, follow-up and treatment of aortic stenosis. Herein, we present a review on the implication of microRNAs in the aortic valve disease management. After listing and describing the main miRNAs of interest in the field, we provide an outline to develop miRNAs as innovative biomarkers and innovative therapeutic strategies, and describe a groundbreaking pre-clinical study using inhibitors of miR-34a in a pre-clinical model of aortic valve stenosis.

Indexed as

Aortic stenosisBiomarkermicroRNATranslational research

Identifiers

PMID32195449
PMCPMC7075756
OpenAlexW3008535669

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.