Evidence map›Paper›PMID 33013489›Full record

ArticleFrontiers in physiology2020

Impact of Aortic Stenosis on Myofiber Stress: Translational Application of Left Ventricle-Aortic Coupling Simulation.

Andrew D Wisneski, Yunjie Wang, Tobias Deuse, Arthur C Hill, Salvatore Pasta, Kevin L Sack, Jiang Yao, Julius M Guccione

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Frontiers in bioengineering and biotechnology · 2026
    Article
  4. Article
  5. Aortic stenosis and right ventricular dysfunction.The international journal of cardiovascular imaging · 2024
    Article
  6. Article
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  8. Article
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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

8 authors at 5 institutions in 2 countries.

Andrew D WisneskiDepartment of Surgery, University of California, San Francisco, San Francisco, CA, United States.
Yunjie WangThornton Tomassetti Lifesciences Division, Santa Clara, CA, United States.
Tobias DeuseDepartment of Surgery, University of California, San Francisco, San Francisco, CA, United States.
Arthur C HillDepartment of Surgery, University of California, San Francisco, San Francisco, CA, United States.
Salvatore PastaDepartment of Engineering, Universita degli Studi di Palermo, Palermo, Italy.
Kevin L SackCardiovascular Research Division, Medtronic Inc., Minneapolis, MN, United States.
Jiang YaoDassault Systèmes Simulia, Johnston, RI, United States.
Julius M GuccioneDepartment of Surgery, University of California, San Francisco, San Francisco, CA, United States.
University of California, San Francisco · USDassault Systèmes (United States) · USMedtronic (United States) · USThornton Tomasetti (United States) · USUniversity of Palermo · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The severity of aortic stenosis (AS) has traditionally been graded by measuring hemodynamic parameters of transvalvular pressure gradient, ejection jet velocity, or estimating valve orifice area. Recent research has highlighted limitations of these criteria at effectively grading AS in presence of left ventricle (LV) dysfunction. We hypothesized that simulations coupling the aorta and LV could provide meaningful insight into myocardial biomechanical derangements that accompany AS. A realistic finite element model of the human heart with a coupled lumped-parameter circulatory system was used to simulate AS. Finite element analysis was performed with Abaqus FEA. An anisotropic hyperelastic model was assigned to LV passive properties, and a time-varying elastance function governed the LV active response. Global LV myofiber peak systolic stress (mean ± standard deviation) was 9.31 ± 10.33 kPa at baseline, 13.13 ± 10.29 kPa for moderate AS, and 16.18 ± 10.59 kPa for severe AS. Mean LV myofiber peak systolic strains were -22.40 ± 8.73%, -22.24 ± 8.91%, and -21.97 ± 9.18%, respectively. Stress was significantly elevated compared to baseline for moderate (

Indexed as

aortic stenosisfinite element methodmyofiber stressrealistic simulationventricle-aortic couplingventricular function

Identifiers

PMID33013489
PMCPMC7506067
OpenAlexW3083968953

What OpenQuestion holds

Textmetadata
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.