Evidence map›Paper›PMID 34630765›Full record

ArticleComputer methods in applied mechanics and engineering2021

A computationally efficient physiologically comprehensive 3D-0D closed-loop model of the heart and circulation.

Christoph M Augustin, Matthias A F Gsell, Elias Karabelas, Erik Willemen, Frits W Prinzen, Joost Lumens, Edward J Vigmond, Gernot Plank

Abstract read
In one paragraph

Article in Computer methods in applied mechanics and engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
–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

28 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. 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. Review
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  17. A Modular Framework for Implicit 3D-0D Coupling in Cardiac Mechanics.Computer methods in applied mechanics and engineering · 2024
    Article
  18. Review
  19. Article
  20. 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

8 authors.

Christoph M AugustinGottfried Schatz Research Center: Division of Biophysics, Medical University of Graz, Graz, Austria.
Matthias A F GsellGottfried Schatz Research Center: Division of Biophysics, Medical University of Graz, Graz, Austria.
Elias KarabelasGottfried Schatz Research Center: Division of Biophysics, Medical University of Graz, Graz, Austria.
Erik WillemenDepartment of Biomedical Engineering, CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, Netherlands.
Frits W PrinzenDepartment of Biomedical Engineering, CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, Netherlands.
Joost LumensDepartment of Biomedical Engineering, CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, Netherlands.
Edward J VigmondIHU Liryc, Electrophysiology and Heart Modeling Institute, fondation Bordeaux Université, Pessac-Bordeaux, France.
Gernot PlankGottfried Schatz Research Center: Division of Biophysics, Medical University of Graz, Graz, Austria.

Funding

Austrian Science Fund FWF I 2760Austrian Science Fund FWF I 4652
6 · The paper itself

Abstract

Computer models of cardiac electro-mechanics (EM) show promise as an effective means for the quantitative analysis of clinical data and, potentially, for predicting therapeutic responses. To realize such advanced applications methodological key challenges must be addressed. Enhanced computational efficiency and robustness is crucial to facilitate, within tractable time frames, model personalization, the simulation of prolonged observation periods under a broad range of conditions, and physiological completeness encompassing therapy-relevant mechanisms is needed to endow models with predictive capabilities beyond the mere replication of observations. Here, we introduce a universal feature-complete cardiac EM modeling framework that builds on a flexible method for coupling a 3D model of bi-ventricular EM to the physiologically comprehensive 0D

Indexed as

Frank–Starling mechanismVentricular loadVentricular pressure–volume relation

Identifiers

PMID34630765
PMCPMC7611781

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.