ReviewJournal of cardiovascular translational research2018
Computational Modeling for Cardiac Resynchronization Therapy.
Review in Journal of cardiovascular translational research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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
24 citing papers in PubMed.
- Assessing the importance of sex and disease-specific anatomy in electrophysiology and mechanical simulations with a newly developed public virtual cohort of four-chamber heart models.PLoS computational biology · 2026Article
- Effects of Purkinje Fiber Conduction Block on Cardiac Pump Function: Computational Modeling Study.Bioengineering (Basel, Switzerland) · 2026Article
- Rapid prediction of cardiac activation in the left ventricle with geometric deep learning: a step towards cardiac resynchronization therapy planning.NPJ digital medicine · 2026Article
- Resynchronisation efficacy of pacing strategies depends on the assessment metric: a computational study.Frontiers in physiology · 2026Article
- Acute effects of mechanical dyssynchrony on left ventricular function and coronary perfusion.Frontiers in bioengineering and biotechnology · 2025Article
- Computational Modelling Enabling In Silico Trials for Cardiac Physiologic Pacing.Journal of cardiovascular translational research · 2024Review
- Effects of cardiac growth on electrical dyssynchrony in the single ventricle patient.Computer methods in biomechanics and biomedical engineering · 2024Article
- Chaos control in cardiac dynamics: terminating chaotic states with local minima pacing.Frontiers in network physiology · 2024Article
- The saga of dyssynchrony imaging: Are we getting to the point.Frontiers in cardiovascular medicine · 2023Review
- Combination of personalized computational modeling and machine learning for optimization of left ventricular pacing site in cardiac resynchronization therapy.Frontiers in physiology · 2023Article
- Optimization of cardiac resynchronization therapy based on a cardiac electromechanics-perfusion computational model.Computers in biology and medicine · 2022Article
- Optimization of Left Ventricle Pace Maker Location Using Echo-Based Fluid-Structure Interaction Models.Frontiers in physiology · 2022Article
- Echocardiographic Parameters as Predictors for the Efficiency of Resynchronization Therapy in Patients with Dilated Cardiomyopathy and HFrEF.Diagnostics (Basel, Switzerland) · 2021Article
- Clinical Utility of Body Surface Potential Mapping in CRT Patients.Arrhythmia & electrophysiology review · 2021Review
- Data integration for the numerical simulation of cardiac electrophysiology.Pacing and clinical electrophysiology : PACE · 2021Review
- Machine Learning Prediction of Cardiac Resynchronisation Therapy Response From Combination of Clinical and Model-Driven Data.Frontiers in physiology · 2021Article
- Multipoint left ventricular pacing as an addition to cardiac resynchronization therapy: a bridge to the holy grail?American journal of cardiovascular disease · 2021Review
- Patient-specific heart simulation can identify non-responders to cardiac resynchronization therapy.Heart and vessels · 2020Article
- Simulating ventricular systolic motion in a four-chamber heart model with spatially varying robin boundary conditions to model the effect of the pericardium.Journal of biomechanics · 2020Article
- An Introductory Overview of Image-Based Computational Modeling in Personalized Cardiovascular Medicine.Frontiers in bioengineering and biotechnology · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Cardiac resynchronization therapy (CRT) is an effective treatment for heart failure (HF) patients with an electrical substrate pathology causing ventricular dyssynchrony. However 40-50% of patients do not respond to treatment. Cardiac modeling of the electrophysiology, electromechanics, and hemodynamics of the heart has been used to study mechanisms behind HF pathology and CRT response. Recently, multi-scale dyssynchronous HF models have been used to study optimal device settings and optimal lead locations, investigate the underlying cardiac pathophysiology, as well as investigate emerging technologies proposed to treat cardiac dyssynchrony. However the breadth of patient and experimental data required to create and parameterize these models and the computational resources required currently limits the use of these models to small patient numbers. In the future, once these technical challenges are overcome, biophysically based models of the heart have the potential to become a clinical tool to aid in the diagnosis and treatment of HF.
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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.