Evidence map›Paper›PMID 32175314›Full record

ArticleFrontiers in bioengineering and biotechnology2020

Impact of Aortoseptal Angle Abnormalities and Discrete Subaortic Stenosis on Left-Ventricular Outflow Tract Hemodynamics: Preliminary Computational Assessment.

Jason A Shar, Kathleen N Brown, Sundeep G Keswani, Jane Grande-Allen, Philippe Sucosky

Open access · goldAbstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

13 citing papers in PubMed, 23 citations in OpenAlex.

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  8. Current state of the art in hypoplastic left heart syndrome.Frontiers in cardiovascular medicine · 2022
    Review
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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

5 authors at 3 institutions in 1 country.

Jason A SharDepartment of Mechanical and Materials Engineering, Wright State University, Dayton, OH, United States.
Kathleen N BrownDepartment of Bioengineering, Rice University, Houston, TX, United States.
Sundeep G KeswaniDivision of Pediatric Surgery, Texas Children's Hospital, Houston, TX, United States.
Jane Grande-AllenDepartment of Bioengineering, Rice University, Houston, TX, United States.
Philippe SucoskyDepartment of Mechanical and Materials Engineering, Wright State University, Dayton, OH, United States.
Rice University · USWright State University · USTexas Children's Hospital · US

Funding

Differential Shear Forces on Endocardial Endothelial Cells Regulate a Fibrotic Spectrum in the Left Ventricular Outflow TractR01HL140305 · NHLBI · RICE UNIVERSITY · PI GRANDE-ALLEN, KATHRYN JANE, KESWANI, SUNDEEP G · 2018 to 2021
$2.2M
NHLBI NIH HHS R01 HL140305
6 · The paper itself

Abstract

Discrete subaortic stenosis (DSS) is an obstruction of the left ventricular outflow tract (LVOT) due to the formation of a fibromuscular membrane upstream of the aortic valve. DSS is a major risk factor for aortic regurgitation (AR), which often persists after surgical resection of the membrane. While the etiology of DSS and secondary AR is largely unknown, the frequent association between DSS and aortoseptal angle (AoSA) abnormalities has supported the emergence of a mechanobiological pathway by which hemodynamic stress alterations on the septal wall could trigger a biological cascade leading to fibrosis and membrane formation. The resulting LVOT flow disturbances could activate the valve endothelium and contribute to AR. In an effort to assess this hypothetical mechano-etiology, this study aimed at isolating computationally the effects of AoSA abnormalities on septal wall shear stress (WSS), and the impact of DSS on LVOT hemodynamics. Two-dimensional computational fluid dynamics models featuring a normal AoSA (N-LV), a steep AoSA (S-LV), and a steep AoSA with a DSS lesion (DSS-LV) were designed to compute the flow in patient-specific left ventricles (LVs). Boundary conditions consisted of transient velocity profiles at the mitral inlet and LVOT outlet, and patient-specific LV wall motion. The deformation of the DSS lesion was computed using a two-way fluid-structure interaction modeling strategy. Turbulence was accounted for via implementation of the

Indexed as

aortoseptal anglecomputational fluid dynamicsdiscrete subaortic stenosisfibrosishemodynamicsleft ventricular outflow tractwall shear stress

Identifiers

PMID32175314
PMCPMC7056880
OpenAlexW3008057530

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.