ArticleJournal of the Royal Society, Interface2014
Endothelial repair process and its relevance to longitudinal neointimal tissue patterns: comparing histology with in silico modelling.
Article in Journal of the Royal Society, Interface, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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.
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.
Who cites it
18 citing papers in PubMed, 35 citations in OpenAlex.
- Impact of Tissue Damage and Hemodynamics on Restenosis Following Percutaneous Transluminal Angioplasty: A Patient-Specific Multiscale Model.Annals of biomedical engineering · 2024Article
- A predictive multiscale model of in-stent restenosis in femoral arteries: linking haemodynamics and gene expression with an agent-based model of cellular dynamics.Journal of the Royal Society, Interface · 2022Article
- Uncertainty quantification of a three-dimensional in-stent restenosis model with surrogate modelling.Journal of the Royal Society, Interface · 2022Article
- Integrating particle tracking with computational fluid dynamics to assess haemodynamic perturbation by coronary artery stents.PloS one · 2022Article
- A homogenized constrained mixture model of restenosis and vascular remodelling after balloon angioplasty.Journal of the Royal Society, Interface · 2021Article
- Multiscale Computational Modeling of Vascular Adaptation: A Systems Biology Approach Using Agent-Based Models.Frontiers in bioengineering and biotechnology · 2021Review
- Multiscale Modeling of Vascular Remodeling Induced by Wall Shear Stress.Frontiers in physiology · 2021Article
- A particle-based model for endothelial cell migration under flow conditions.Biomechanics and modeling in mechanobiology · 2020Article
- Location-Specific Comparison Between a 3D In-Stent Restenosis Model and Micro-CT and Histology Data from Porcine In Vivo Experiments.Cardiovascular engineering and technology · 2019Article
- A versatile hybrid agent-based, particle and partial differential equations method to analyze vascular adaptation.Biomechanics and modeling in mechanobiology · 2019Article
- Uncertainty Quantification of a Multiscale Model for In-Stent Restenosis.Cardiovascular engineering and technology · 2018Article
- A cell-based mechanical model of coronary artery tunica media.Journal of the Royal Society, Interface · 2017Article
- A Comparison of Fully-Coupled 3D In-Stent Restenosis Simulations toFrontiers in physiology · 2017Article
- The stentable in vitro artery: an instrumented platform for endovascular device development and optimization.Journal of the Royal Society, Interface · 2016Article
- Towards the virtual artery: a multiscale model for vascular physiology at the physics-chemistry-biology interface.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2016Article
- An in silico study on the role of smooth muscle cell migration in neointimal formation after coronary stenting.Journal of the Royal Society, Interface · 2015Article
- Effects of endothelium, stent design and deployment on the nitric oxide transport in stented artery: a potential role in stent restenosis and thrombosis.Medical & biological engineering & computing · 2015Article
- A Multiscale Computational Framework to Understand Vascular Adaptation.Journal of computational science · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 3 countries.
Funding
Abstract
Re-establishing a functional endothelium following endovascular treatment is an important factor in arresting neointimal proliferation. In this study, both histology (in vivo) and computational simulations (in silico) are used to evaluate neointimal growth patterns within coronary arteries along the axial direction of the stent. Comparison of the growth configurations in vivo and in silico was undertaken to identify candidate mechanisms for endothelial repair. Stent, lumen and neointimal areas were measured from histological sections obtained from eight right coronary stented porcine arteries. Two re-endothelialization scenarios (endothelial cell (EC) random seeding and EC growth from proximal and distal ends) were implemented in silico to evaluate their influence on the morphology of the simulated lesions. Subject to the assumptions made in the current simulations, comparison between in vivo and in silico results suggests that endothelial growth does not occur from the proximal and distal ends alone, but is more consistent with the assumption of a random seeding process. This may occur either from the patches of endothelium which survive following stent implantation or from attachment of circulating endothelial progenitor cells.
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What OpenQuestion holds
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.