ReviewHeart failure reviews2016
Personalised computational cardiology: Patient-specific modelling in cardiac mechanics and biomaterial injection therapies for myocardial infarction.
Review in Heart failure reviews, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 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
26 citing papers in PubMed, 44 citations in OpenAlex.
- Post-MI Remodeling Mechanics of Left Ventricle: Microstructure-Informed Models, Identifiability, and Uncertainty for Patient-Specific Prediction.Bioengineering (Basel, Switzerland) · 2026Review
- Patient-Specific In Silico Prediction of Outcomes of Partial Continuous-Flow LVAD Treatment in Peripartum Cardiomyopathy.International journal for numerical methods in biomedical engineering · 2026Article
- Article
- Computational Medicine: What Electrophysiologists Should Know to Stay Ahead of the Curve.Current cardiology reports · 2024Review
- Long-term inhaling ultrafine zinc particles increases cardiac wall stresses elevated by myocardial infarction.Biomedical engineering online · 2024Article
- A numerical study of a left ventricular expander for heart failure with preserved ejection fraction.Royal Society open science · 2023Article
- A cell-based framework for modeling cardiac mechanics.Biomechanics and modeling in mechanobiology · 2023Article
- Combining Cell Technologies With Biomimetic Tissue Engineering Applications: A New Paradigm for Translational Cardiovascular Therapies.Stem cells translational medicine · 2023Review
- Mapping the use of computational modelling and simulation in clinics: A survey.Frontiers in medical technology · 2023Article
- Graph-based homogenisation for modelling cardiac fibrosis.Journal of computational physics · 2022Article
- Personalization of biomechanical simulations of the left ventricle by in-vivo cardiac DTI data: Impact of fiber interpolation methods.Frontiers in physiology · 2022Article
- Computational models of ventricular mechanics and adaptation in response to right-ventricular pressure overload.Frontiers in physiology · 2022Review
- Characterization of Exercise-Induced Myocardium Growth Using Finite Element Modeling and Bayesian Optimization.Frontiers in physiology · 2021Article
- Biomechanics of infarcted left ventricle: a review of modelling.Biomedical engineering letters · 2020Review
- In-silico study of the cardiac arrhythmogenic potential of biomaterial injection therapy.Scientific reports · 2020Article
- Uncertainty quantification and sensitivity analysis of left ventricular function during the full cardiac cycle.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2020Article
- Effect of myofibre architecture on ventricular pump function by using a neonatal porcine heart model: from DT-MRI to rule-based methods.Royal Society open science · 2020Article
- Uncertainty in cardiac myofiber orientation and stiffnesses dominate the variability of left ventricle deformation response.International journal for numerical methods in biomedical engineering · 2019Article
- Position Paper Computational Cardiology.IEEE journal of biomedical and health informatics · 2019Article
- Quest for cardiovascular interventions: precise modeling and 3D printing of heart valves.Journal of biological engineering · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
Predictive computational modelling in biomedical research offers the potential to integrate diverse data, uncover biological mechanisms that are not easily accessible through experimental methods and expose gaps in knowledge requiring further research. Recent developments in computing and diagnostic technologies have initiated the advancement of computational models in terms of complexity and specificity. Consequently, computational modelling can increasingly be utilised as enabling and complementing modality in the clinic-with medical decisions and interventions being personalised. Myocardial infarction and heart failure are amongst the leading causes of death globally despite optimal modern treatment. The development of novel MI therapies is challenging and may be greatly facilitated through predictive modelling. Here, we review the advances in patient-specific modelling of cardiac mechanics, distinguishing specificity in cardiac geometry, myofibre architecture and mechanical tissue properties. Thereafter, the focus narrows to the mechanics of the infarcted heart and treatment of myocardial infarction with particular attention on intramyocardial biomaterial delivery.
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Identifiers
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.