Evidence map›Paper›PMID 33489295›Full record

ArticleRoyal Society open science2020

Numerical models for assessing the risk of leaflet thrombosis post-transcatheter aortic valve-in-valve implantation.

Romina Plitman Mayo, Halit Yaakobovich, Ariel Finkelstein, Shawn C Shadden, Gil Marom

Open access · goldAbstract read
In one paragraph

Article in Royal Society open science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.1field-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

17 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
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  9. Decoding thrombosis through code: a review of computational models.Journal of thrombosis and haemostasis : JTH · 2024
    Review
  10. Article
  11. Tissue-growth-based synthetic tree generation and perfusion simulation.Biomechanics and modeling in mechanobiology · 2023
    Article
  12. A model of fluid-structure and biochemical interactions for applications to subclinical leaflet thrombosis.International journal for numerical methods in biomedical engineering · 2023
    Article
  13. Article
  14. 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 2 institutions in 2 countries.

Romina Plitman MayoSchool of Mechanical Engineering, Tel Aviv University, Tel Aviv, Israel.ORCID 0000-0002-3013-0717
Halit YaakobovichDepartment of Biomedical Engineering, Tel Aviv University, Tel Aviv, Israel.
Ariel FinkelsteinDivision of Cardiology, Tel Aviv Medical Center, Tel Aviv, Israel.
Shawn C ShaddenDepartment of Mechanical Engineering, University of California, Berkeley, CA, USA.
Gil MaromSchool of Mechanical Engineering, Tel Aviv University, Tel Aviv, Israel.ORCID 0000-0003-3130-3402
Tel Aviv University · ILUniversity of California, Berkeley · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Leaflet thrombosis has been suggested as the reason for the reduced leaflet motion in cases of hypoattenuated leaflet thickening of bioprosthetic aortic valves. This work aimed to estimate the risk of leaflet thrombosis in two post-valve-in-valve (ViV) configurations, using five different numerical approaches. Realistic ViV configurations were calculated by modelling the deployments of the latest version of transcatheter aortic valve devices (Medtronic Evolut PRO, Edwards SAPIEN 3) in the surgical Sorin Mitroflow. Computational fluid dynamics simulations of blood flow followed the dry models. Lagrangian and Eulerian measures of near-wall stagnation were implemented by particle and concentration tracking, respectively, to estimate the thrombogenicity and to predict the risk locations. Most of the numerical approaches indicate a higher leaflet thrombosis risk in the Edwards SAPIEN 3 device because of its intra-annular implantation. The Eulerian approaches estimated high-risk locations in agreement with the wall sheer stress (WSS) separation points. On the other hand, the Lagrangian approaches predicted high-risk locations at the proximal regions of the leaflets matching the low WSS magnitude regions of both transcatheter aortic valve implantation models and reported clinical and experimental data. The proposed methods can help optimizing future designs of transcatheter aortic valves with minimal thrombotic risks.

Indexed as

computational fluid dynamicsleaflet thrombosistranscatheter aortic valve implantation (TAVI)valve-in-valve (ViV)

Identifiers

PMID33489295
PMCPMC7813235
OpenAlexW3115544496

What OpenQuestion holds

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LicenceCC BY
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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.