Evidence map›Paper›PMID 32084308›Full record

ReviewWiley interdisciplinary reviews. Systems biology and medicine2020

Calibration of ionic and cellular cardiac electrophysiology models.

Dominic G Whittaker, Michael Clerx, Chon Lok Lei, David J Christini, Gary R Mirams

Abstract readReview
In one paragraph

Review in Wiley interdisciplinary reviews. Systems biology and medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing 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

59 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. The electrophysiology of ventricular cell pairs.Pflugers Archiv : European journal of physiology · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Evaluating the predictive accuracy of ion-channel models using data from multiple experimental designs.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Guidelines for mechanistic modeling and analysis in cardiovascular research.American journal of physiology. Heart and circulatory physiology · 2024
    Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

5 authors.

Dominic G WhittakerCentre for Mathematical Medicine & Biology, School of Mathematical Sciences, University of Nottingham, Nottingham, UK.ORCID 0000-0002-2757-5491
Michael ClerxComputational Biology & Health Informatics, Department of Computer Science, University of Oxford, Oxford, UK.ORCID 0000-0003-4062-3061
Chon Lok LeiComputational Biology & Health Informatics, Department of Computer Science, University of Oxford, Oxford, UK.ORCID 0000-0003-0904-554X
David J ChristiniCardiovascular Research Institute, Weill Cornell Medicine, New York.ORCID 0000-0003-0852-2922
Gary R MiramsCentre for Mathematical Medicine & Biology, School of Mathematical Sciences, University of Nottingham, Nottingham, UK.ORCID 0000-0002-4569-4312

Funding

Multiscale modeling to map cardiac electrophysiology between speciesU01HL136297 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CHRISTINI, DAVID J., SOBIE, ERIC A · 2017 to 2021
$3.2M
Biotechnology and Biological Sciences Research Council BB/P010008/1Engineering and Physical Sciences Research Council EP/L016044/1NHLBI NIH HHS U01 HL136297NIH HHS U01HL136297Wellcome Trust 212203/Z/18/Z
6 · The paper itself

Abstract

Cardiac electrophysiology models are among the most mature and well-studied mathematical models of biological systems. This maturity is bringing new challenges as models are being used increasingly to make quantitative rather than qualitative predictions. As such, calibrating the parameters within ion current and action potential (AP) models to experimental data sets is a crucial step in constructing a predictive model. This review highlights some of the fundamental concepts in cardiac model calibration and is intended to be readily understood by computational and mathematical modelers working in other fields of biology. We discuss the classic and latest approaches to calibration in the electrophysiology field, at both the ion channel and cellular AP scales. We end with a discussion of the many challenges that work to date has raised and the need for reproducible descriptions of the calibration process to enable models to be recalibrated to new data sets and built upon for new studies. This article is categorized under: Analytical and Computational Methods > Computational Methods Physiology > Mammalian Physiology in Health and Disease Models of Systems Properties and Processes > Cellular Models.

Indexed as

Models, CardiovascularAction PotentialsAnimalsHumansIon ChannelsLigandsMarkov ChainsMyocytes, CardiacIon ChannelsLigandscardiacelectrophysiologyidentificationinferencemathematical modelingoptimizationparameterization

Identifiers

PMID32084308
PMCPMC8614115

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.