Evidence map›Paper›PMID 31601014›Full record

ArticleJournal of clinical medicine2019

A Combined Score of Circulating miRNAs Allows Outcome Prediction in Critically Ill Patients.

Christoph Roderburg, Fabian Benz, Alexander Koch, Sven H Loosen, Martina Spehlmann, Mark Luedde, Alexander Wree, Mihael Vucur, Christian Trautwein, Frank Tacke and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 45% 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, 8 citations in OpenAlex.

  1. Review
  2. Role of miRNA dysregulation in sepsis.Molecular medicine (Cambridge, Mass.) · 2022
    Review
  3. Review
  4. Article
  5. Differential Gene Expression in Circulating CD14Journal of clinical medicine · 2020
    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

11 authors at 3 institutions in 1 country.

Christoph RoderburgDepartment of Medicine III, University Hospital RWTH Aachen, Pauwelsstrasse 30, 52074 Aachen, Germany. Christoph.roderburg@charite.de.
Fabian BenzDepartment of Medicine III, University Hospital RWTH Aachen, Pauwelsstrasse 30, 52074 Aachen, Germany. fabian.benz@charite.de.
Alexander KochDepartment of Medicine III, University Hospital RWTH Aachen, Pauwelsstrasse 30, 52074 Aachen, Germany. aKoch@ukaachen.de.
Sven H LoosenDepartment of Medicine III, University Hospital RWTH Aachen, Pauwelsstrasse 30, 52074 Aachen, Germany. sloosen@ukaachen.de.
Martina SpehlmannDepartment of Cardiology and Angiology, University of Kiel, Schittenhelmstrasse 12, 24105 Kiel, Germany. martina.spehlmann@uksh.de.
Mark LueddeDepartment of Cardiology and Angiology, University of Kiel, Schittenhelmstrasse 12, 24105 Kiel, Germany. Mark.Luedde@uksh.de.
Alexander WreeDepartment of Medicine III, University Hospital RWTH Aachen, Pauwelsstrasse 30, 52074 Aachen, Germany. alexander.wree@charite.de.
Mihael VucurDepartment of Medicine III, University Hospital RWTH Aachen, Pauwelsstrasse 30, 52074 Aachen, Germany. mvucur@ukaachen.de.
Christian TrautweinDepartment of Medicine III, University Hospital RWTH Aachen, Pauwelsstrasse 30, 52074 Aachen, Germany. ctautwein@ukaachen.de.
Frank TackeDepartment of Medicine III, University Hospital RWTH Aachen, Pauwelsstrasse 30, 52074 Aachen, Germany. frank.tacke@charite.de.
Tom LueddeDepartment of Medicine III, University Hospital RWTH Aachen, Pauwelsstrasse 30, 52074 Aachen, Germany. tluedde@ukaachen.de.
RWTH Aachen University · DECharité - Universitätsmedizin Berlin · DEChristian-Albrechts-Universität zu Kiel · DE

Funding

Deutsche Forschungsgemeinschaft (DFG RO 4317/4-1)German Center for Cardiovascular Diseases DZHK, B18-005Ext
6 · The paper itself

Abstract

BACKGROUND AND

aimsIdentification of patients with increased risk of mortality represents an important prerequisite for an adapted adequate and individualized treatment of critically ill patients. Circulating micro-RNA (miRNA) levels have been suggested as potential biomarkers at the intensive care unit (ICU), but none of the investigated miRNAs displayed a sufficient sensitivity or specificity to be routinely employed as a single marker in clinical practice. METHODS AND

resultsWe recently described alterations in serum levels of 7 miRNAs (miR-122, miR-133a, miR-143, miR-150, miR-155, miR-192, and miR-223) in critically ill patients at a medical ICU. In this study, we re-analyzed these previously published data and performed a combined analysis of these markers to unravel their potential as a prognostic scoring system in the context of critical illness. Based on the Youden's index method, cut-off values were systematically defined for dysregulated miRNAs, and a "miRNA survival score" was calculated. Patients with high scores displayed a dramatically impaired prognosis compared to patients with low values. Additionally, the predictive power of our score could be further increased when the patient's age was additionally incorporated into this score.

conclusionsWe describe the first miRNA-based biomarker score for prediction of medical patients' outcome during and after ICU treatment. Adding the patients' age into this score was associated with a further increase in its predictive power. Further studies are needed to validate the clinical utility of this score in risk-stratifying critically ill patients.

Indexed as

biomarkercritical illnessmiRNAprognosissepsis

Identifiers

PMID31601014
PMCPMC6832199
OpenAlexW2979837710

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.