Evidence map›Paper›PMID 29896107›Full record

ArticleFrontiers in physiology2018

Construction and Validation of Subject-Specific Biventricular Finite-Element Models of Healthy and Failing Swine Hearts From High-Resolution DT-MRI.

Kevin L Sack, Eric Aliotta, Daniel B Ennis, Jenny S Choy, Ghassan S Kassab, Julius M Guccione, Thomas Franz

Abstract read
In one paragraph

Article 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 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
  2. A modelling study of right ventricular growth with valvular regurgitation.Biomechanics and modeling in mechanobiology · 2026
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  18. Bayesian optimisation for efficient parameter inference in a cardiac mechanics model of the left ventricle.International journal for numerical methods in biomedical engineering · 2022
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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

7 authors.

Kevin L SackDivision of Biomedical Engineering, Department of Human Biology, University of Cape Town, Cape Town, South Africa.
Eric AliottaDepartment of Radiological Sciences, University of California, Los Angeles, Los Angeles, CA, United States.
Daniel B EnnisDepartment of Radiological Sciences, University of California, Los Angeles, Los Angeles, CA, United States.
Jenny S ChoyCalifornia Medical Innovations Institute, Inc., San Diego, CA, United States.
Ghassan S KassabCalifornia Medical Innovations Institute, Inc., San Diego, CA, United States.
Julius M GuccioneDepartment of Surgery, University of California, San Francisco, San Francisco, CA, United States.
Thomas FranzDivision of Biomedical Engineering, Department of Human Biology, University of Cape Town, Cape Town, South Africa.

Funding

Multi-Scale Laws of Myocardial Growth and RemodelingU01HL119578 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GUCCIONE, JULIUS MATTEO, KASSAB, GHASSAN S · 2014 to 2018
$3.8M
VIRTUAL TOOLS FOR CARDIAC VENTRICULAR REMODELING SURGERYR01HL077921 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GUCCIONE, JULIUS MATTEO · 2006 to 2015
$3.4M
Minimally Invasive Ventricular Polymeric Injection for Treatment of Heart FailureR01HL118627 · NHLBI · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI GUCCIONE, JULIUS MATTEO, KASSAB, GHASSAN S · 2013 to 2016
$3.0M
NHLBI NIH HHS R01 HL077921NHLBI NIH HHS R01 HL118627NHLBI NIH HHS U01 HL119578
6 · The paper itself

Abstract

Predictive computational modeling has revolutionized classical engineering disciplines and is in the process of transforming cardiovascular research. This is particularly relevant for investigating emergent therapies for heart failure, which remains a leading cause of death globally. The creation of subject-specific biventricular computational cardiac models has been a long-term endeavor within the biomedical engineering community. Using high resolution (0.3 × 0.3 × 0.8 mm)

Indexed as

finite element methodheart failurerealistic simulationsubject-specificventricular function

Identifiers

PMID29896107
PMCPMC5986944

What OpenQuestion holds

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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.