Evidence map›Paper›PMID 31388869›Full record

ArticleBiomechanics and modeling in mechanobiology2020

Evaluation of stimulus-effect relations in left ventricular growth using a simple multiscale model.

Emanuele Rondanina, Peter H M Bovendeerd

Abstract readEvaluation Study
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
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

2 authors.

Emanuele RondaninaEindhoven University of Technology, PO Box 513, 5600 MB, Eindhoven, The Netherlands. e.rondanina@tue.nl.ORCID http://orcid.org/0000-0002-3249-3167
Peter H M BovendeerdEindhoven University of Technology, PO Box 513, 5600 MB, Eindhoven, The Netherlands.

Funding

H2020 Marie Skłodowska-Curie Actions () 642458
6 · The paper itself

Abstract

Cardiac growth is the natural capability of the heart to change size in response to changes in blood flow demand of the growing body. Cardiac diseases can trigger the same process leading to an abnormal type of growth. Prediction of cardiac growth would be clinically valuable, but so far published models on cardiac growth differ with respect to the stimulus-effect relation and constraints used for maximum growth. In this study, we use a zero-dimensional, multiscale model of the left ventricle to evaluate cardiac growth in response to three valve diseases, aortic and mitral regurgitation along with aortic stenosis. We investigate how different combinations of stress- and strain-based stimuli affect growth in terms of cavity volume and wall volume and hemodynamic performance. All of our simulations are able to reach a converged state without any growth constraint, with the most promising results obtained while considering at least one stress-based stimulus. With this study, we demonstrate how a simple model of left ventricular mechanics can be used to have a first evaluation on a designed growth law.

Indexed as

Models, BiologicalAortic Valve StenosisComputer SimulationHeart VentriclesHumansMitral Valve InsufficiencyPressureSarcomeresAortic regurgitationAortic stenosisConcentric growthEccentric growthLeft ventricleMitral regurgitation

Identifiers

PMID31388869
PMCPMC7005098

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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.