Evidence map›Paper›PMID 32014305›Full record

ArticleJournal of biomechanics2020

Simulating ventricular systolic motion in a four-chamber heart model with spatially varying robin boundary conditions to model the effect of the pericardium.

Marina Strocchi, Matthias A F Gsell, Christoph M Augustin, Orod Razeghi, Caroline H Roney, Anton J Prassl, Edward J Vigmond, Jonathan M Behar, Justin S Gould, Christopher A Rinaldi and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of biomechanics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
9.1field-weighted citation impact, top 1% of its field
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

50 citing papers in PubMed, 1 synthesis or guideline pooled it, 98 citations in OpenAlex.

  1. Pooled it
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  3. Review
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  5. Article
  6. Coupling Models of Resistive Valves to Muscle Mechanics in Cardiac Fluid-Structure Interaction Simulations.International journal for numerical methods in biomedical engineering · 2025
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  12. Probabilistic Richardson extrapolation.Journal of the Royal Statistical Society. Series B, Statistical methodology · 2025
    Article
  13. Article
  14. Identification of the Unloaded Heart Configuration Including External Interactions.Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH (Conference) · 2025
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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

13 authors at 4 institutions in 3 countries.

Marina StrocchiDepartment of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK. Electronic address: marina.strocchi@kcl.ac.uk.
Matthias A F GsellDepartment of Biophysics, Medical University of Graz, Graz, Austria.
Christoph M AugustinDepartment of Biophysics, Medical University of Graz, Graz, Austria.
Orod RazeghiDepartment of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Caroline H RoneyDepartment of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Anton J PrasslDepartment of Biophysics, Medical University of Graz, Graz, Austria.
Edward J VigmondUniversity of Bordeaux, Talence, France; LIRYC Electrophysiology and Heart Modeling Institute, Campus Xavier Arnozan, Pessac, France.
Jonathan M BeharDepartment of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK; Cardiology Department, Guys and St Thomas' NHS Foundation Trust, London, UK.
Justin S GouldDepartment of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK; Cardiology Department, Guys and St Thomas' NHS Foundation Trust, London, UK.
Christopher A RinaldiDepartment of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK; Cardiology Department, Guys and St Thomas' NHS Foundation Trust, London, UK.
Martin J BishopDepartment of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Gernot PlankDepartment of Biophysics, Medical University of Graz, Graz, Austria.
Steven A NiedererDepartment of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
King's College London · GBMedical University of Graz · ATElectrophysiology and Heart Modeling Institute · FRGuy's and St Thomas' NHS Foundation Trust · GB

Funding

Austrian Science Fund FWF I 2760British Heart Foundation PG/13/37/30280British Heart Foundation PG/15/91/31812Department of Health II-LB-1116-20001Medical Research Council MR/N011007/1
6 · The paper itself

Abstract

The pericardium affects cardiac motion by limiting epicardial displacement normal to the surface. In computational studies, it is important for the model to replicate realistic motion, as this affects the physiological fidelity of the model. Previous computational studies showed that accounting for the effect of the pericardium allows for a more realistic motion simulation. In this study, we describe the mechanism through which the pericardium causes improved cardiac motion. We simulated electrical activation and contraction of the ventricles on a four-chamber heart in the presence and absence of the effect of the pericardium. We simulated the mechanical constraints imposed by the pericardium by applying normal Robin boundary conditions on the ventricular epicardium. We defined a regional scaling of normal springs stiffness based on image-derived motion from CT images. The presence of the pericardium reduced the error between simulated and image-derived end-systolic configurations from 12.8±4.1 mm to 5.7±2.5 mm. First, the pericardium prevents the ventricles from spherising during isovolumic contraction, reducing the outward motion of the free walls normal to the surface and the upwards motion of the apex. Second, by restricting the inward motion of the free and apical walls of the ventricles the pericardium increases atrioventricular plane displacement by four folds during ejection. Our results provide a mechanistic explanation of the importance of the pericardium in physiological simulations of electromechanical cardiac function.

Indexed as

Models, CardiovascularVentricular FunctionHumansMyocardial ContractionPericardiumSystoleApico-basal shorteningCardiac electromechanicsComputer modelsHeart failurePericardiumVentricular systolic motion

Identifiers

PMID32014305
PMCPMC7677892
OpenAlexW3002101747

What OpenQuestion holds

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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.