Evidence map›Paper›PMID 37139164›Full record

ArticleEngineering with computers2022

Texas TriValve 1.0 : a reverse‑engineered, open model of the human tricuspid valve.

Mrudang Mathur, William D Meador, Marcin Malinowski, Tomasz Jazwiec, Tomasz A Timek, Manuel K Rausch

Open access · greenAbstract read
In one paragraph

Article in Engineering with computers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

16 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. A modelling study of right ventricular growth with valvular regurgitation.Biomechanics and modeling in mechanobiology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Leaflet remodeling reduces tricuspid valve function in a computational model.Journal of the mechanical behavior of biomedical materials · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. A Brief Note on Building Augmented Reality Models for Scientific Visualization.Finite elements in analysis and design : the international journal of applied finite elements and computer aided engineering · 2023
    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

6 authors at 2 institutions in 2 countries.

Mrudang MathurDepartment of Mechanical Engineering, University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0002-9273-5586
William D MeadorDepartment of Biomedical Engineering, University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0001-5797-9553
Marcin MalinowskiCardiothoracic Surgery, Spectrum Health, Grand Rapids, MI 49503, USA.
Tomasz JazwiecCardiothoracic Surgery, Spectrum Health, Grand Rapids, MI 49503, USA.
Tomasz A TimekCardiothoracic Surgery, Spectrum Health, Grand Rapids, MI 49503, USA.
Manuel K RauschDepartment of Biomedical Engineering, University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0003-1337-6472
Spectrum Health · USThe University of Texas at Austin · US

Funding

Using an Electrospun Surrogate Model to Investigate Mechanisms of Tricuspid Valve MaladaptationR01HL165251 · NHLBI · UNIVERSITY OF TEXAS AT AUSTIN · PI MANUEL Karl RAUSCH · 2022 to 2026
$4.3M
Human-Specific Prediction, Training, and Visualization Tools for the Tricuspid Valve from Existing DataR21HL161832 · NHLBI · UNIVERSITY OF TEXAS AT AUSTIN · PI RAUSCH, MANUEL KARL · 2022 to 2023
$222k
Tricuspid valve adaptation to right heart disease: A multiscale, histomechanical study in sheepF31HL145976 · NHLBI · UNIVERSITY OF TEXAS AT AUSTIN · PI MEADOR, WILLIAM D · 2019 to 2021
$90k
American Heart Association-American Stroke Association 18CDA34120028NHLBI NIH HHS F31 HL145976NHLBI NIH HHS R01 HL165251NHLBI NIH HHS R21 HL161832
6 · The paper itself

Abstract

Nearly 1.6 million Americans suffer from a leaking tricuspid heart valve. To make matters worse, current valve repair options are far from optimal leading to recurrence of leakage in up to 30% of patients. We submit that a critical step toward improving outcomes is to better understand the "forgotten" valve. High-fidelity computer models may help in this endeavour. However, the existing models are limited by averaged or idealized geometries, material properties, and boundary conditions. In our current work, we overcome the limitations of existing models by (reverse) engineering the tricuspid valve from a beating human heart in an organ preservation system. The resulting finite-element model faithfully captures the kinematics and kinetics of the native tricuspid valve as validated against echocardiographic data and others' previous work. To showcase the value of our model, we also use it to simulate disease-induced and repair-induced changes to valve geometry and mechanics. Specifically, we simulate and compare the effectiveness of tricuspid valve repair via surgical annuloplasty and via transcatheter edge-to-edge repair. Importantly, our model is openly available for others to use. Thus, our model will allow us and others to perform virtual experiments on the healthy, diseased, and repaired tricuspid valve to better understand the valve itself and to optimize tricuspid valve repair for better patient outcomes.

Indexed as

AnnuloplastyPrecision medicinePredictive simulationRepairTranscatheter

Identifiers

PMID37139164
PMCPMC10153581
OpenAlexW4293064737

What OpenQuestion holds

Textmetadata
LicenceTDM
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.