Evidence map›Paper›PMID 32128588›Full record

ArticleEuropean heart journal2020

The 'Digital Twin' to enable the vision of precision cardiology.

Jorge Corral-Acero, Francesca Margara, Maciej Marciniak, Cristobal Rodero, Filip Loncaric, Yingjing Feng, Andrew Gilbert, Joao F Fernandes, Hassaan A Bukhari, Ali Wajdan and 29 more

Registry-linked trialAbstract read
In one paragraph

Article in European heart journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07719621 (Implication of Albuminuria Reduction and Other Cardiorenal Effects on The Risk of Heart Failure in Patients With CKD and T2D), which is not on this map. Cited by 346 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
346citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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.

NCT07719621 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Implication of Albuminuria Reduction and Other Cardiorenal Effects on The Risk of Heart Failure in Patients With CKD and T2D

TypeobservationalSponsorAeterna Medical Solutions SLRan2026 to 2026Enrolled50,000ConditionsCKD - Chronic Kidney Disease, Diabetes Mellitus Type 2
3 · Its place in the literature

Who cites it

346 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Digital Twins and Health Care: an Umbrella Review.Journal of medical systems · 2025
    Pooled it
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286 more citing papers are in PubMed but not listed here.

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

39 authors.

Jorge Corral-AceroDepartment of Engineering Science, University of Oxford, Oxford, UK.
Francesca MargaraDepartment of Computer Science, British Heart Foundation Centre of Research Excellence, University of Oxford, Oxford, UK.
Maciej MarciniakDepartment of Biomedical Engineering, Division of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.
Cristobal RoderoDepartment of Biomedical Engineering, Division of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.
Filip LoncaricInstitut Clínic Cardiovascular, Hospital Clínic, Universitat de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.
Yingjing FengIHU Liryc, Electrophysiology and Heart Modeling Institute, fondation Bordeaux Université, Pessac-Bordeaux F-33600, France.
Andrew GilbertGE Vingmed Ultrasound AS, Horton, Norway.
Joao F FernandesDepartment of Biomedical Engineering, Division of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.
Hassaan A BukhariIMB, UMR 5251, University of Bordeaux, Talence F-33400, France.
Ali WajdanThe Intervention Centre, Oslo University Hospital, Rikshospitalet, Oslo, Norway.
Manuel Villegas MartinezThe Intervention Centre, Oslo University Hospital, Rikshospitalet, Oslo, Norway.
Mariana Sousa SantosFEops NV, Ghent, Belgium.
Mehrdad ShamohammdiCARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands.
Hongxing LuoCARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands.
Philip WestphalMedtronic PLC, Bakken Research Center, Maastricht, the Netherlands.
Paul LeesonRadcliffe Department of Medicine, Division of Cardiovascular Medicine, Oxford Cardiovascular Clinical Research Facility, John Radcliffe Hospital, University of Oxford, Oxford, UK.
Paolo DiAchilleHealthcare and Life Sciences Research, IBM T.J. Watson Research Center, Yorktown Heights, NY, USA.
Viatcheslav GurevHealthcare and Life Sciences Research, IBM T.J. Watson Research Center, Yorktown Heights, NY, USA.
Manuel MayrKing's British Heart Foundation Centre, King's College London, London, UK.
Liesbet GerisVirtual Physiological Human Institute, Leuven, Belgium.
Pras PathmanathanCenter for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, MD, USA.
Tina MorrisonCenter for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, MD, USA.
Richard CornelussenMedtronic PLC, Bakken Research Center, Maastricht, the Netherlands.
Frits PrinzenCARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands.
Tammo DelhaasCARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands.
Ada DoltraInstitut Clínic Cardiovascular, Hospital Clínic, Universitat de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.
Marta SitgesInstitut Clínic Cardiovascular, Hospital Clínic, Universitat de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.
Edward J VigmondIHU Liryc, Electrophysiology and Heart Modeling Institute, fondation Bordeaux Université, Pessac-Bordeaux F-33600, France.
Ernesto ZacurDepartment of Engineering Science, University of Oxford, Oxford, UK.
Vicente GrauDepartment of Engineering Science, University of Oxford, Oxford, UK.
Blanca RodriguezDepartment of Computer Science, British Heart Foundation Centre of Research Excellence, University of Oxford, Oxford, UK.
Espen W RemmeThe Intervention Centre, Oslo University Hospital, Rikshospitalet, Oslo, Norway.
Steven NiedererDepartment of Biomedical Engineering, Division of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.
Peter MortierFEops NV, Ghent, Belgium.
Kristin McLeodGE Vingmed Ultrasound AS, Horton, Norway.
Mark PotseIHU Liryc, Electrophysiology and Heart Modeling Institute, fondation Bordeaux Université, Pessac-Bordeaux F-33600, France.
Esther PueyoAragón Institute of Engineering Research, Universidad de Zaragoza, IIS Aragón, Zaragoza, Spain.
Alfonso Bueno-OrovioDepartment of Computer Science, British Heart Foundation Centre of Research Excellence, University of Oxford, Oxford, UK.
Pablo LamataDepartment of Biomedical Engineering, Division of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.

Funding

British Heart Foundation CH/16/3/32406British Heart Foundation FS/17/22/32644British Heart Foundation PG/16/75/32383British Heart Foundation RG/16/14/32397British Heart Foundation TG/17/3/33406National Centre for the Replacement, Refinement and Reduction of Animals in Research NC/P001076/1Wellcome TrustWellcome Trust 209450/Z/17/ZWellcome Trust 214290/Z/18/Z
6 · The paper itself

Abstract

Providing therapies tailored to each patient is the vision of precision medicine, enabled by the increasing ability to capture extensive data about individual patients. In this position paper, we argue that the second enabling pillar towards this vision is the increasing power of computers and algorithms to learn, reason, and build the 'digital twin' of a patient. Computational models are boosting the capacity to draw diagnosis and prognosis, and future treatments will be tailored not only to current health status and data, but also to an accurate projection of the pathways to restore health by model predictions. The early steps of the digital twin in the area of cardiovascular medicine are reviewed in this article, together with a discussion of the challenges and opportunities ahead. We emphasize the synergies between mechanistic and statistical models in accelerating cardiovascular research and enabling the vision of precision medicine.

Indexed as

Artificial IntelligenceCardiologyAlgorithmsHumansPrecision MedicineArtificial intelligenceComputational modellingDigital twinPrecision medicine

Identifiers

PMID32128588
PMCPMC7774470

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Registered trials

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.