Evidence map›Paper›PMID 25451525›Full record

ArticleJournal of theoretical biology2015

Application of stochastic phenomenological modelling to cell-to-cell and beat-to-beat electrophysiological variability in cardiac tissue.

John Walmsley, Gary R Mirams, Joe Pitt-Francis, Blanca Rodriguez, Kevin Burrage

Abstract read
In one paragraph

Article in Journal of theoretical biology, 2015. 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
–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

5 citing papers in PubMed.

  1. An audit of uncertainty in multi-scale cardiac electrophysiology models.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2020
    Review
  2. Article
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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.

John WalmsleyDepartment of Computer Science, University of Oxford, Oxford, United Kingdom. Electronic address: j.walmsley@maastrichtuniversity.nl.
Gary R MiramsDepartment of Computer Science, University of Oxford, Oxford, United Kingdom.
Joe Pitt-FrancisDepartment of Computer Science, University of Oxford, Oxford, United Kingdom.
Blanca RodriguezDepartment of Computer Science, University of Oxford, Oxford, United Kingdom.
Kevin BurrageDepartment of Computer Science, University of Oxford, Oxford, United Kingdom; School of Mathematical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.

Funding

National Centre for the Replacement, Refinement and Reduction of Animals in Research NC/K001337/1Wellcome Trust 100246Wellcome Trust 101222
6 · The paper itself

Abstract

Variability in the action potential of isolated myocytes and tissue samples is observed in experimental studies. Variability is manifested as both differences in the action potential (AP) morphology between cells (extrinsic variability), and also 'intrinsic' or beat-to-beat variability of repolarization (BVR) in the AP duration of each cell. We studied the relative contributions of experimentally recorded intrinsic and extrinsic variability to dispersion of repolarization in tissue. We developed four cell-specific parameterizations of a phenomenological stochastic differential equation AP model exhibiting intrinsic variability using APs recorded from isolated guinea pig ventricular myocytes exhibiting BVR. We performed simulations in tissue using the four different model parameterizations in the presence and the absence of both intrinsic and extrinsic variability. We altered the coupling of the tissue to determine how inter-cellular coupling affected the dispersion of the AP duration in tissue. Both intrinsic and extrinsic variability were gradually revealed by reduction of tissue coupling. However, the recorded extrinsic variability between individual myocytes produced a greater degree of dispersion in repolarization in tissue than the intrinsic variability of each myocyte.

Indexed as

Electrophysiological PhenomenaModels, CardiovascularAction PotentialsAnimalsComputer SimulationGuinea PigsHeartHeart RateStochastic ProcessesTime FactorsCardiac electrophysiologyInter-cellular couplingStochastic simulation

Identifiers

PMID25451525
PMCPMC4271765

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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.