Evidence map›Paper›PMID 29686626›Full record

ReviewFrontiers in physiology2018

Modeling the Electrophysiological Properties of the Infarct Border Zone.

Caroline Mendonca Costa, Gernot Plank, Christopher A Rinaldi, Steven A Niederer, Martin J Bishop

Abstract readReview
In one paragraph

Review in Frontiers in physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

47 citing papers in PubMed.

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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.

Caroline Mendonca CostaSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Gernot PlankDepartment of Biophysics, Medical University of Graz, Graz, Austria.
Christopher A RinaldiCardiac Department, St. Thomas' Hospital, London, United Kingdom.
Steven A NiedererSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Martin J BishopSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.

Funding

British Heart Foundation PG/15/91/31812British Heart Foundation PG/16/81/32441British Heart Foundation RE/08/003Medical Research Council MR/N011007/1
6 · The paper itself

Abstract

Ventricular arrhythmias (VA) in patients with myocardial infarction (MI) are thought to be associated with structural and electrophysiological remodeling within the infarct border zone (BZ). Personalized computational models have been used to investigate the potential role of the infarct BZ in arrhythmogenesis, which still remains incompletely understood. Most recent models have relied on experimental data to assign BZ properties. However, experimental measurements vary significantly resulting in different computational representations of this region. Here, we review experimental data available in the literature to determine the most prominent properties of the infarct BZ. Computational models are then used to investigate the effect of different representations of the BZ on activation and repolarization properties, which may be associated with VA. Experimental data obtained from several animal species and patients with infarct show that BZ properties vary significantly depending on disease's stage, with the early disease stage dominated by ionic remodeling and the chronic stage by structural remodeling. In addition, our simulations show that ionic remodeling in the BZ leads to large repolarization gradients in the vicinity of the scar, which may have a significant impact on arrhythmia simulations, while structural remodeling plays a secondary role. We conclude that it is imperative to faithfully represent the properties of regions of infarction within computational models specific to the disease stage under investigation in order to conduct

Indexed as

cardiac electrophysiologycomputational modelinggray zoneinfarct border zonemyocardial infarct

Identifiers

PMID29686626
PMCPMC5900020

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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.