Evidence map›Paper›PMID 31781298›Full record

Trial reportDisease markers2019

Prognostic Value of MicroRNAs in Patients after Myocardial Infarction: A Substudy of PRAGUE-18.

M Hromádka, V Černá, M Pešta, A Kučerová, J Jarkovský, D Rajdl, R Rokyta, Z Moťovská

Open access · hybridAbstract readClinical Trial, Phase IVMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Disease markers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 13% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

M HromádkaDepartment of Cardiology, University Hospital and Faculty of Medicine of Charles University, Pilsen, Czech Republic.
V ČernáDepartment of Biology, Faculty of Medicine in Pilsen, Charles University, Czech Republic.ORCID https://orcid.org/0000-0002-2789-1435
M PeštaDepartment of Biology, Faculty of Medicine in Pilsen, Charles University, Czech Republic.ORCID https://orcid.org/0000-0001-8187-0566
A KučerováDepartment of Biology, Faculty of Medicine in Pilsen, Charles University, Czech Republic.
J JarkovskýInstitute of Biostatistics and Analyses, Faculty of Medicine and the Faculty of Science, Masaryk University, Brno, Czech Republic.ORCID https://orcid.org/0000-0002-1400-0111
D RajdlDepartment of Clinical Biochemistry and Hematology, University Hospital and Faculty of Medicine in Pilsen, Czech Republic.
R RokytaDepartment of Cardiology, University Hospital and Faculty of Medicine of Charles University, Pilsen, Czech Republic.
Z MoťovskáCardiocentre, Third Faculty of Medicine, Charles University and University Hospital Kralovske Vinohrady, Prague, Czech Republic.
Charles University · CZGeneral University Hospital in Prague · CZMasaryk University · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe evaluation of the long-term risk of major adverse cardiovascular events and cardiac death in patients after acute myocardial infarction (AMI) is an established clinical process. Laboratory markers may significantly help with the risk stratification of these patients. Our objective was to find the relation of selected microRNAs to the standard markers of AMI and determine if these microRNAs can be used to identify patients at increased risk.

methodsSelected microRNAs (miR-1, miR-133a, and miR-499) were measured in a cohort of 122 patients from the PRAGUE-18 study (ticagrelor vs. prasugrel in AMI treated with primary percutaneous coronary intervention (pPCI)). The cohort was split into two subgroups: 116 patients who did not die (survivors) and 6 patients who died (nonsurvivors) during the 365-day period after AMI. Plasma levels of selected circulating miRNAs were then assessed in combination with high-sensitivity cardiac troponin T (hsTnT) and N-terminal probrain natriuretic peptide (NT-proBNP).

resultsmiR-1, miR-133a, and miR-499 correlated positively with NT-proBNP and hsTnT 24 hours after admission and negatively with left ventricular ejection fraction (LVEF). Both miR-1 and miR-133a positively correlated with hsTnT at admission. Median relative levels of all selected miRNAs were higher in the subgroup of nonsurvivors (

conclusionsStatistically significant correlation was found between miR-1, miR-133a, and miR-499 and hsTnT, NT-proBNP, and LVEF. In addition, this analysis suggests that plasma levels of circulating miR-499 could contribute to the identification of patients at increased risk of death during the first year after AMI, especially when combined with NT-proBNP levels.

Indexed as

Gene Expression Regulation, NeoplasticAdultAgedAged, 80 and overBiomarkersFemaleFollow-Up StudiesHumansMaleMicroRNAsMiddle AgedMyocardial InfarctionPrognosisRetrospective StudiesSurvival RateBiomarkersMicroRNAsMIRN133 microRNA, humanMIRN1 microRNA, humanMIRN499 microRNA, human

Identifiers

PMID31781298
PMCPMC6875251
OpenAlexW2983952219

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.