ArticleMethodsX2017
Logistic regression analysis of populations of electrophysiological models to assess proarrythmic risk.
Article in MethodsX, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 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.
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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
42 citing papers in PubMed.
- Predicting Sex-Specific Antiarrhythmic Strategies for Atrial Fibrillation through a Regression-Guided Computational Modeling Pipeline.bioRxiv : the preprint server for biology · 2026Article
- Interplay between variability in intrinsic cellular properties and heart failure-associated remodeling in a simulated population with human heart failure.Journal of molecular and cellular cardiology · 2026Article
- Development and Clinical Validation of a Cross-Sex Translator of ECG Drug Responses.JACC. Clinical electrophysiology · 2025Article
- Exploring the mechanisms of sex-specific proarrhythmia in long QT syndrome through computational modeling.American journal of physiology. Heart and circulatory physiology · 2025Article
- A large population of cell-specific action potential models replicating fluorescence recordings of voltage in rabbit ventricular myocytes.Royal Society open science · 2025Article
- Computational Modeling of Cardiac Electrophysiology.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Assessing drug safety by identifying the axis of arrhythmia in cardiomyocyte electrophysiology.eLife · 2023Article
- Predictive Male-to-Female Translation of Cardiac Electrophysiological Response to Drugs.JACC. Clinical electrophysiology · 2023Review
- Integrative human atrial modelling unravels interactive protein kinase A and Ca2+/calmodulin-dependent protein kinase II signalling as key determinants of atrial arrhythmogenesis.Cardiovascular research · 2023Article
- Estimating the probability of early afterdepolarizations and predicting arrhythmic risk associated with long QT syndrome type 1 mutations.Biophysical journal · 2023Article
- Dual effects of the small-conductance CaAmerican journal of physiology. Heart and circulatory physiology · 2023Article
- Multiplatform modeling of atrial fibrillation identifies phospholamban as a central regulator of cardiac rhythm.Disease models & mechanisms · 2023Article
- Electrophysiological heterogeneity in large populations of rabbit ventricular cardiomyocytes.Cardiovascular research · 2022Article
- Coupling and heterogeneity modulate pacemaking capability in healthy and diseased two-dimensional sinoatrial node tissue models.PLoS computational biology · 2022Article
- How synergy between mechanistic and statistical models is impacting research in atrial fibrillation.Frontiers in physiology · 2022Review
- Quantitative cross-species translators of cardiac myocyte electrophysiology: Model training, experimental validation, and applications.Science advances · 2021Article
- Mechanisms of phase-3 early afterdepolarizations and triggered activities in ventricular myocyte models.Physiological reports · 2021Article
- Investigational Treatments for COVID-19 may Increase Ventricular Arrhythmia Risk Through Drug Interactions.CPT: pharmacometrics & systems pharmacology · 2021Article
- The transient outward potassium current plays a key role in spiral wave breakup in ventricular tissue.American journal of physiology. Heart and circulatory physiology · 2021Article
- In Silico Assessment of Class I Antiarrhythmic Drug Effects onInternational journal of molecular sciences · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Population-based computational approaches have been developed in recent years and helped to gain insight into arrhythmia mechanisms, and intra- and inter-patient variability (e.g., in drug responses). Here, we illustrate the use of multivariable logistic regression to analyze the factors that enhance or reduce the susceptibility to cellular arrhythmogenic events. As an example, we generate 1000 model variants by randomly modifying ionic conductances and maximal rates of ion transports in our atrial myocyte model and simulate an arrhythmia-provoking protocol that enhances early afterdepolarization (EAD) proclivity. We then treat EAD occurrence as a categorical, yes or no variable, and perform logistic regression to relate perturbations in model parameters to the presence/absence of EADs. We find that EAD formation is sensitive to the conductance of the voltage-gated Na
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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.