Evidence map›Paper›PMID 31868580›Full record

ArticleeLife2019

Development, calibration, and validation of a novel human ventricular myocyte model in health, disease, and drug block.

Jakub Tomek, Alfonso Bueno-Orovio, Elisa Passini, Xin Zhou, Ana Minchole, Oliver Britton, Chiara Bartolucci, Stefano Severi, Alvin Shrier, Laszlo Virag and 2 more

Abstract read
In one paragraph

Article in eLife, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 128 papers.

0numbers the graph read from it
0cells of the map it votes in
128citing papers in PubMed
–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.

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

128 citing papers in PubMed.

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  9. Sex-specific virtual population for the prediction and assessment of arrhythmia risk.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2026
    Article
  10. Article
  11. A new phosphorus-rhodamine voltage-sensing dye for optical membrane potential imaging.Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology · 2026
    Article
  12. Article
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  17. Mechano-electrical feedback in transgenic rabbit models of long QT syndrome Type 2 and short QT syndrome Type 1.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2026
    Article
  18. Population Modeling Approach for Human Cardiac Arrhythmia Risk Prediction.Circulation. Arrhythmia and electrophysiology · 2026
    Article
  19. Article
  20. PersonalizedFrontiers in physiology · 2026
    Article

68 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

12 authors.

Jakub TomekDepartment of Computer Science, British Heart Foundation Centre of Research Excellence, University of Oxford, Oxford, United Kingdom.ORCID https://orcid.org/0000-0002-0157-4386
Alfonso Bueno-OrovioDepartment of Computer Science, British Heart Foundation Centre of Research Excellence, University of Oxford, Oxford, United Kingdom.
Elisa PassiniDepartment of Computer Science, British Heart Foundation Centre of Research Excellence, University of Oxford, Oxford, United Kingdom.
Xin ZhouDepartment of Computer Science, British Heart Foundation Centre of Research Excellence, University of Oxford, Oxford, United Kingdom.
Ana MincholeDepartment of Computer Science, British Heart Foundation Centre of Research Excellence, University of Oxford, Oxford, United Kingdom.
Oliver BrittonDepartment of Computer Science, British Heart Foundation Centre of Research Excellence, University of Oxford, Oxford, United Kingdom.
Chiara BartolucciDepartment of Electrical, Electronic, and Information Engineering "Guglielmo Marconi", University of Bologna, Bologna, Italy.
Stefano SeveriDepartment of Electrical, Electronic, and Information Engineering "Guglielmo Marconi", University of Bologna, Bologna, Italy.ORCID http://orcid.org/0000-0003-4306-8294
Alvin ShrierDepartment of Physiology, McGill University, Montreal, Canada.
Laszlo ViragDepartment of Pharmacology and Pharmacotherapy, Faculty of Medicine, University of Szeged, Szeged, Hungary.
Andras VarroDepartment of Pharmacology and Pharmacotherapy, Faculty of Medicine, University of Szeged, Szeged, Hungary.
Blanca RodriguezDepartment of Computer Science, British Heart Foundation Centre of Research Excellence, University of Oxford, Oxford, United Kingdom.

Funding

Amazon Web Services Machine learning research awardBHF Centre of Research Excellence, Oxford RE/13/1/30181British Heart Foundation FS/17/22/32644European Commission 675451European Federation of Pharmaceutical Industries and Associations TransQST project (Innovative Medicines Initiative 2 Joint Undertaking 116030)Horizon 2020 TransQST project (Innovative Medicines Initiative 2 Joint Undertaking 116030)National Centre for the Replacement, Refinement and Reduction of Animals in Research NC/P001076/1Partnership for Advanced Computing in Europe AISBL 2017174226TransQST 116030UK National Supercomputing Archer RAP award (322 00180)UK National Supercomputing PRACE (2017174226)Wellcome 100246/Z/12/ZWellcome 214290/Z/18/Z
6 · The paper itself

Abstract

Human-based modelling and simulations are becoming ubiquitous in biomedical science due to their ability to augment experimental and clinical investigations. Cardiac electrophysiology is one of the most advanced areas, with cardiac modelling and simulation being considered for virtual testing of pharmacological therapies and medical devices. Current models present inconsistencies with experimental data, which limit further progress. In this study, we present the design, development, calibration and independent validation of a human-based ventricular model (ToR-ORd) for simulations of electrophysiology and excitation-contraction coupling, from ionic to whole-organ dynamics, including the electrocardiogram. Validation based on substantial multiscale simulations supports the credibility of the ToR-ORd model under healthy and key disease conditions, as well as drug blockade. In addition, the process uncovers new theoretical insights into the biophysical properties of the L-type calcium current, which are critical for sodium and calcium dynamics. These insights enable the reformulation of L-type calcium current, as well as replacement of the hERG current model.

Indexed as

Models, CardiovascularMyocytes, CardiacAction PotentialsAlgorithmsBiophysicsCalciumCalcium ChannelsCalibrationComputer SimulationElectrocardiographyElectrophysiological PhenomenaElectrophysiologyExcitation Contraction CouplingHeart DiseasesHeart VentriclesHumansCalciumCalcium ChannelsSodiumcalibration validationcell biologycomputational biologycomputer simulationshearthumansystems biologyventricular myocyte

Identifiers

PMID31868580
PMCPMC6970534

What OpenQuestion holds

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Registered trials

None linked

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.