Evidence map›Paper›PMID 36139082›Full record

ArticleBiomolecules2022

MiR-223 and MiR-186 Are Associated with Long-Term Mortality after Myocardial Infarction.

Meyer Elbaz, Julien Faccini, Clémence Laperche, Marie-Hélène Grazide, Jean-Bernard Ruidavets, Cécile Vindis

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. The interplay of hydrogen sulfide and microRNAs in cardiovascular diseases: insights and future perspectives.Mammalian genome : official journal of the International Mammalian Genome Society · 2024
    Review
  4. Article
  5. Noncoding RNAs as Key Regulators for Cardiac Development and Cardiovascular Diseases.Journal of cardiovascular development and disease · 2023
    Review
  6. Article
  7. 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

6 authors at 1 institution in 1 country.

Meyer ElbazDepartment of Cardiology, Rangueil University Hospital, 31400 Toulouse, France.
Julien FacciniINSERM UMR 1048, 31400 Toulouse, France.
Clémence LapercheDepartment of Cardiology, Rangueil University Hospital, 31400 Toulouse, France.
Marie-Hélène GrazideCenter for Clinical Investigation (CIC1436)/CARDIOMET, Rangueil University Hospital, 31400 Toulouse, France.
Jean-Bernard RuidavetsDepartment of Epidemiology, INSERM UMR 1027, 31400 Toulouse, France.
Cécile VindisCenter for Clinical Investigation (CIC1436)/CARDIOMET, Rangueil University Hospital, 31400 Toulouse, France.ORCID 0000-0003-2421-1155
Inserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background-The identification and stratification of patients at risk of fatal outcomes after myocardial infarction (MI) is of considerable interest to guide secondary prevention therapies. Currently, no accurate biomarkers are available to identify subjects who are at risk of suffering acute manifestations of coronary heart disease as well as to predict adverse events after MI. Non-coding circulating microRNAs (miRNAs) have been proposed as novel diagnostic and prognostic biomarkers in cardiovascular diseases. The aims of the study were to investigate the clinical value of a panel of circulating miRNAs as accurate biomarkers associated with MI and mortality risk prediction in patients with documented MI. Methods and Results-seven circulating plasma miRNAs were analyzed in 67 MI patients and 80 control subjects at a high cardiovascular risk but without known coronary diseases. Multivariate logistic regression analyses demonstrated that six miRNAs were independently associated with MI occurrence. Among them, miR-223 and miR-186 reliably predicted long-term mortality in MI patients, in particular miR-223 (HR 1.57 per one-unit increase,

Indexed as

Circulating MicroRNAMicroRNAsMyocardial InfarctionBiomarkersHumansStroke VolumeVentricular Function, LeftBiomarkersCirculating MicroRNAMicroRNAsMIR223, humanMIRN186 microRNA, humanbiomarkercardiovascular diseasemicroRNAmyocardial infarction

Identifiers

PMID36139082
PMCPMC9496068
OpenAlexW4295063287

What OpenQuestion holds

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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.