Evidence map›Paper›PMID 31600281›Full record

ArticlePloS one2019

Micro-RNA 150-5p predicts overt heart failure in patients with univentricular hearts.

Masood Abu-Halima, Eckart Meese, Mohamad Ali Saleh, Andreas Keller, Hashim Abdul-Khaliq, Tanja Raedle-Hurst

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 21% 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.

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  9. Ferroptosis: A New Mechanism in Diabetic Cardiomyopathy.International journal of medical sciences · 2024
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  11. Determinants of soluble angiotensin-converting enzyme 2 concentrations in adult patients with complex congenital heart disease.Clinical research in cardiology : official journal of the German Cardiac Society · 2022
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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.

Masood Abu-HalimaInstitute of Human Genetics, Saarland University Medical Center, Homburg/Saar, Germany.
Eckart MeeseInstitute of Human Genetics, Saarland University Medical Center, Homburg/Saar, Germany.
Mohamad Ali SalehDepartment of Pediatric Cardiology, Saarland University Medical Center, Homburg/Saar, Germany.
Andreas KellerCenter for Clinical Bioinformatics, Saarland University, Saarbruecken, Germany.
Hashim Abdul-KhaliqDepartment of Pediatric Cardiology, Saarland University Medical Center, Homburg/Saar, Germany.
Tanja Raedle-HurstDepartment of Pediatric Cardiology, Saarland University Medical Center, Homburg/Saar, Germany.ORCID 0000-0002-8893-171X
Saarland University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn patients with left heart failure, micro-RNAs (miRNAs) have been shown to be of diagnostic and prognostic value. The present study aims to identify those miRNAs in patients with univentricular heart (UVH) disease that may be associated with overt heart failure.

methodsA large panel of human miRNA arrays were used to determine miRNA expression profiles in the blood of 48 UVH patients and 32 healthy controls. For further selection, the most abundantly expressed miRNA arrays were related to clinical measures of heart failure and selected miRNAs validated by polymerase chain reaction were used for the prediction of overt heart failure and all-cause mortality.

resultsAccording to microarray analysis, 50 miRNAs were found to be significantly abundant in UVH patients of which miR-150-5p was best related to heart failure parameters. According to ROC analysis, NT-proBNP levels (AUC 0.940, 95% CI 0.873-1.000; p = 0.001), miR-150-5p (AUC 0.905, 95% CI 0.779-1.000; p = 0.001) and a higher NYHA class ≥ III (AUC 0.893, 95% CI 0.713-1.000; p = 0.002) were the 3 most significant predictors of overt heart failure. Using a combined biomarker model, AUC increased to 0.980 indicating an additive value of miR-150-5p. Moreover, in the multivariate analysis, a higher NYHA class ≥ III (p = 0.005) and miR-150-5p (p = 0.006) turned out to be independent predictors of overt heart failure.

conclusionIn patients with UVH, miR-150-5p is an independent predictor of overt heart failure and thus may be used in the risk assessment of these patients.

Indexed as

AdolescentAdultChildFemaleGene Expression RegulationHeart FailureHumansMaleMicroRNAsMiddle AgedMultivariate AnalysisNatriuretic Peptide, BrainPeptide FragmentsPrognosisROC CurveUniventricular HeartMicroRNAsMIR150, humanNatriuretic Peptide, BrainPeptide Fragmentspro-brain natriuretic peptide (1-76)

Identifiers

PMID31600281
PMCPMC6786722
OpenAlexW2979622358

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.