Evidence map›Paper›PMID 28980492›Full record

ReviewExpert review of medical devices2017

Computational methods for the aortic heart valve and its replacements.

Rana Zakerzadeh, Ming-Chen Hsu, Michael S Sacks

Abstract readReview
In one paragraph

Review in Expert review of medical devices, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
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  8. Review
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  15. Article
  16. Review
  17. Review
  18. Clinical Impact of Computational Heart Valve Models.Materials (Basel, Switzerland) · 2022
    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

3 authors.

Rana Zakerzadeha Center for Cardiovascular Simulation, Institute for Computational Engineering & Sciences, Department of Biomedical Engineering , The University of Texas at Austin , Austin , TX , USA.
Ming-Chen Hsub Department of Mechanical Engineering , Iowa State University , Ames , IA , USA.
Michael S Sacksa Center for Cardiovascular Simulation, Institute for Computational Engineering & Sciences, Department of Biomedical Engineering , The University of Texas at Austin , Austin , TX , USA.

Funding

Surgery to Prevent Post Infarction Ventricular RemodelingR01HL063954 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI GORMAN, ROBERT C · 2001 to 2018
$9.8M
Remodeling potential of the mitral valve following surgical repairR01HL119297 · NHLBI · UNIVERSITY OF TEXAS AT AUSTIN · PI GORMAN, JOSEPH H, SACKS, MICHAEL S · 2013 to 2017
$6.6M
Echocardiography to Predict Recurrent IMR After Surgical Mitral Valve ReplacementR01HL103723 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI GORMAN, ROBERT C, HUNG, JUDY W · 2011 to 2020
$5.3M
Biomechanical indicators of bicuspid aortic valve dysfunctionR01HL142504 · NHLBI · UNIVERSITY OF TEXAS AT AUSTIN · PI GORMAN, ROBERT C, HSU, MING-CHEN · 2018 to 2021
$2.9M
Novel Simulation Technologies for BHV Long-Term DurabilityR01HL129077 · NHLBI · UNIVERSITY OF TEXAS AT AUSTIN · PI HUGHES, THOMAS J., MANNING, KEEFE B · 2016 to 2019
$2.1M
NHLBI NIH HHS R01 HL063954NHLBI NIH HHS R01 HL119297NHLBI NIH HHS R01 HL129077NHLBI NIH HHS R01 HL142504
6 · The paper itself

Abstract

introductionReplacement with a prosthetic device remains a major treatment option for the patients suffering from heart valve disease, with prevalence growing resulting from an ageing population. While the most popular replacement heart valve continues to be the bioprosthetic heart valve (BHV), its durability remains limited. There is thus a continued need to develop a general understanding of the underlying mechanisms limiting BHV durability to facilitate development of a more durable prosthesis. In this regard, computational models can play a pivotal role as they can evaluate our understanding of the underlying mechanisms and be used to optimize designs that may not always be intuitive. Areas covered: This review covers recent progress in computational models for the simulation of BHV, with a focus on aortic valve (AV) replacement. Recent contributions in valve geometry, leaflet material models, novel methods for numerical simulation, and applications to BHV optimization are discussed. This information should serve not only to infer reliable and dependable BHV function, but also to establish guidelines and insight for the design of future prosthetic valves by analyzing the influence of design, hemodynamics and tissue mechanics. Expert commentary: The paradigm of predictive modeling of heart valve prosthesis are becoming a reality which can simultaneously improve clinical outcomes and reduce costs. It can also lead to patient-specific valve design.

Indexed as

Cardiovascular Physiological PhenomenaHeart Valve ProsthesisModels, CardiovascularAnisotropyAortic ValveBiocompatible MaterialsBioprosthesisHeart Valve Prosthesis ImplantationHumansMaterials TestingProsthesis DesignBiocompatible MaterialsBioprosthetic heart valveconstitutive modelingfluid–structure interactionmodeling and simulationvalve dynamics

Identifiers

PMID28980492
PMCPMC6542368

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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.