ArticleCurrent opinion in biomedical engineering2021
Mathematical and Computational Modeling of Device-Induced Thrombosis.
Article in Current opinion in biomedical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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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.
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.
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Who cites it
13 citing papers in PubMed, 23 citations in OpenAlex.
- Influence of breathing-induced motion on hemodynamics following fEVAR with renal stenting.Annals of biomedical engineering · 2026Article
- Protruding Objects in the Membrane Lung Outlet May Increase Thrombogenicity: Fluid Dynamical Insights.ASAIO journal (American Society for Artificial Internal Organs : 1992) · 2026Article
- Air, Noise, and Light Pollution and Thromboembolic Cardiovascular Complications: A TH Scientific Statement.Thrombosis and haemostasis · 2026Article
- Impact of occluder device configurations in in-silico left atrial hemodynamics for the analysis of device-related thrombus.PLoS computational biology · 2024Article
- Numerical Study on the Impact of Central Venous Catheter Placement on Blood Flow in the Cavo-Atrial Junction.Annals of biomedical engineering · 2024Article
- [Progress in the analysis of hemolysis and coagulation models for interventional micro-axial flow blood pumps].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024Review
- A homogenized two-phase computational framework for meso- and macroscale blood flow simulations.Computer methods and programs in biomedicine · 2024Article
- Influence of Hematocrit Level and Integrin αCellular and molecular bioengineering · 2024Article
- Characterizing thrombus adhesion strength on common cardiovascular device materials.Frontiers in bioengineering and biotechnology · 2024Article
- Performance of a Hydrogel Coated Nitinol with Oligonucleotide-Modified Nanoparticles Within Turbulent Conditions of Blood-Contacting Devices.Cardiovascular engineering and technology · 2023Article
- von Willebrand factor unfolding mediates platelet deposition in a model of high-shear thrombosis.Biophysical journal · 2022Article
- A fibrin enhanced thrombosis model for medical devices operating at low shear regimes or large surface areas.PLoS computational biology · 2022Article
- Toward modeling thrombosis and thromboembolism in laminar and turbulent flow regimes.International journal for numerical methods in biomedical engineering · 2022Article
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
Abstract
Given the extensive and routine use of cardiovascular devices, a major limiting factor to their success is the thrombotic rate that occurs. This both poses direct risk to the patient and requires counterbalancing with anticoagulation and other treatment strategies, contributing additional risks. Developing a better understanding of the mechanisms of device-induced thrombosis to aid in device design and medical management of patients is critical to advance the ubiquitous use and durability. Thus, mathematical and computational modelling of device-induced thrombosis has received significant attention recently, but challenges remain. Additional areas that need to be explored include microscopic/macroscopic approaches, reconciling physical and numerical timescales, immune/inflammatory responses, experimental validation, and incorporating pathologies and blood conditions. Addressing these areas will provide engineers and clinicians the tools to provide safe and effective cardiovascular devices.
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Registered trials
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.