Evidence map›Paper›PMID 33839767›Full record

ArticleCardiovascular research2021

Cardiovascular RNA markers and artificial intelligence may improve COVID-19 outcome: a position paper from the EU-CardioRNA COST Action CA17129.

Lina Badimon, Emma L Robinson, Amela Jusic, Irina Carpusca, Leon J deWindt, Costanza Emanueli, Péter Ferdinandy, Wei Gu, Mariann Gyöngyösi, Matthias Hackl and 9 more

Open access · hybridAbstract readConsensus Statement
In one paragraph

Article in Cardiovascular research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

17 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Prediction of COVID-19 severity using machine learning.Clinical and translational medicine · 2024
    Article
  5. Multiomic biomarkers after cardiac arrest.Intensive care medicine experimental · 2024
    Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. (Epi)transcriptomics in cardiovascular and neurological complications of COVID-19.Journal of molecular and cellular cardiology plus · 2022
    Review
  14. Review
  15. Article
  16. Article
  17. 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

19 authors at 12 institutions in 12 countries.

Lina BadimonCardiovascular Science Program-ICCC, IR-Hospital de la Santa Creu i Santa Pau, Ciber CV, Autonomous University of Barcelona, Barcelona, Spain.ORCID 0000-0002-9162-2459
Emma L RobinsonDepartment of Cardiology, School for Cardiovascular Diseases, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands.ORCID 0000-0002-4866-731X
Amela JusicCardiovascular Research Unit, Department of Population Health, Luxembourg Institute of Health, 1A-B rue Edison, L-1445 Strassen, Luxembourg.ORCID 0000-0003-2835-4284
Irina CarpuscaCardiovascular Research Unit, Department of Population Health, Luxembourg Institute of Health, 1A-B rue Edison, L-1445 Strassen, Luxembourg.ORCID 0000-0001-5231-996X
Leon J deWindtDepartment of Molecular Genetics, Faculty of Science and Engineering, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands.
Costanza EmanueliNational Heart & Lung Institute, Faculty of Medicine, Imperial College London, London, UK.ORCID 0000-0002-2392-0702
Péter FerdinandyCardiometabolic Research Group and MTA-SE System Pharmacology Research Group, Department of Pharmacology and Pharmacotherapy, Semmelweis University, Budapest,Hungary.ORCID 0000-0002-6424-6806
Wei GuLuxembourg Center for Systems Biomedicine, University of Luxembourg, Esch sur Alzette, Luxembourg.ORCID 0000-0003-3951-6680
Mariann GyöngyösiDepartment of Cardiology, Medical University of Vienna, Vienna, Austria.
Matthias HacklTAmiRNA GmbH, Vienna, Austria.ORCID 0000-0002-4136-7293
Kanita Karaduzovic-HadziabdicFaculty of Engineering and Natural Sciences, International University of Sarajevo, Sarajevo, Bosnia and Herzegovina.ORCID 0000-0001-5097-9147
Mitja LustrekDepartment of Intelligent Systems, Jozef Stefan Institute, Ljubljana, Slovenia.ORCID 0000-0003-3219-2935
Fabio MartelliMolecular Cardiology Laboratory, IRCCS Policlinico San Donato, San Donato Milanese, Milan 20097, Italy.ORCID 0000-0002-8624-7738
Eric NhamUniversity of Zagreb School of Medicine, Zagreb, Croatia.ORCID 0000-0001-5993-6581
Ines PotočnjakInstitute for Clinical Medical Research and Education, University Hospital Centre Sisters of Charity, Zagreb, Croatia.
Venkata SatagopamLuxembourg Center for Systems Biomedicine, University of Luxembourg, Esch sur Alzette, Luxembourg.ORCID 0000-0002-6532-5880
Reinhard SchneiderLuxembourg Center for Systems Biomedicine, University of Luxembourg, Esch sur Alzette, Luxembourg.ORCID 0000-0002-8278-1618
Thomas ThumInstitute of Molecular and Translational Therapeutic Strategies (IMTTS), Fraunhofer Institute for Toxicology and Experimental Medicine, Hannover,Germany.ORCID 0000-0003-4360-1511
Yvan DevauxCardiovascular Research Unit, Department of Population Health, Luxembourg Institute of Health, 1A-B rue Edison, L-1445 Strassen, Luxembourg.ORCID 0000-0002-5321-8543
Luxembourg Institute of Health · LUUniversity of Luxembourg · LUMaastricht University · NLImperial College London · GBInternational University of Sarajevo · BAIRCCS Policlinico San Donato · ITJožef Stefan Institute · SIMedical University of Vienna · ATMedizinische Hochschule Hannover · DESemmelweis University · HUUniversitat Autònoma de Barcelona · ESUniversity of Zagreb · HR

Funding

British Heart Foundation CH/15/1/31199British Heart Foundation RG/20/9/35101
6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) pandemic has been as unprecedented as unexpected, affecting more than 105 million people worldwide as of 8 February 2020 and causing more than 2.3 million deaths according to the World Health Organization (WHO). Not only affecting the lungs but also provoking acute respiratory distress, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is able to infect multiple cell types including cardiac and vascular cells. Hence a significant proportion of infected patients develop cardiac events, such as arrhythmias and heart failure. Patients with cardiovascular comorbidities are at highest risk of cardiac death. To face the pandemic and limit its burden, health authorities have launched several fast-track calls for research projects aiming to develop rapid strategies to combat the disease, as well as longer-term projects to prepare for the future. Biomarkers have the possibility to aid in clinical decision-making and tailoring healthcare in order to improve patient quality of life. The biomarker potential of circulating RNAs has been recognized in several disease conditions, including cardiovascular disease. RNA biomarkers may be useful in the current COVID-19 situation. The discovery, validation, and marketing of novel biomarkers, including RNA biomarkers, require multi-centre studies by large and interdisciplinary collaborative networks, involving both the academia and the industry. Here, members of the EU-CardioRNA COST Action CA17129 summarize the current knowledge about the strain that COVID-19 places on the cardiovascular system and discuss how RNA biomarkers can aid to limit this burden. They present the benefits and challenges of the discovery of novel RNA biomarkers, the need for networking efforts, and the added value of artificial intelligence to achieve reliable advances.

Indexed as

Artificial IntelligenceBiomarkersCardiovascular DiseasesCardiovascular SystemCOVID-19HumansQuality of LifeRNASARS-CoV-2BiomarkersRNAArtificial intelligenceBiomarkersGenomicsRNAs

Identifiers

PMID33839767
PMCPMC8083253
OpenAlexW3153369925

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.