Evidence map›Paper›PMID 37274842›Full record

ArticleComputational mechanics2022

How viscous is the beating heart?: Insights from a computational study.

Oğuz Ziya Tikenoğulları, Francisco Sahli Costabal, Jiang Yao, Alison Marsden, Ellen Kuhl

Abstract read
In one paragraph

Article in Computational mechanics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Stress relaxation rates of myocardium from failing and non-failing hearts.Biomechanics and modeling in mechanobiology · 2025
    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.

Oğuz Ziya TikenoğullarıDepartment of Mechanical Engineering · Stanford University · Stanford, California, United States.
Francisco Sahli CostabalDepartment of Mechanical and Metallurgical Engineering and Institute for Biological and Medical Engineering · Pontificia Universidad Catolica de Chile, Chile.
Jiang YaoDassault Systèmes Simulia Corporation · Johnston, Rhode Island, United States.
Alison MarsdenDepartments of Pediatrics and Bioengineering · Stanford University · Stanford, California, United States.
Ellen KuhlDepartment of Mechanical Engineering · Stanford University · Stanford, California, United States.

Funding

A New Framework for Understanding the Mechanisms of Diastolic DysfunctionR01HL131823 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ENNIS, DANIEL B · 2017 to 2020
$2.3M
NHLBI NIH HHS R01 HL131823
6 · The paper itself

Abstract

Understanding tissue rheology is critical to accurately model the human heart. While the elastic properties of cardiac tissue have been extensively studied, its viscous properties remain an issue of ongoing debate. Here we adopt a viscoelastic version of the classical Holzapfel Ogden model to study the viscous timescales of human cardiac tissue. We perform a series of simulations and explore stress-relaxation curves, pressure-volume loops, strain profiles, and ventricular wall strains for varying viscosity parameters. We show that the time window for model calibration strongly influences the parameter identification. Using a four-chamber human heart model, we observe that, during the physiologically relevant time scales of the cardiac cycle, viscous relaxation has a negligible effect on the overall behavior of the heart. While viscosity could have important consequences in pathological conditions with compromised contraction or relaxation properties, we conclude that, for simulations within the physiological range of a human heart beat, we can reasonably approximate the human heart as hyperelastic.

Indexed as

cardiac mechanicsfinite element methodhuman heartmyocardiumviscoelasticity

Identifiers

PMID37274842
PMCPMC10237084

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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.