ArticlePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2020
Considering discrepancy when calibrating a mechanistic electrophysiology model.
Article in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 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.
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Who cites it
32 citing papers in PubMed.
- Resolving Artifacts in Voltage-Clamp Experiments with Computational Modeling: An Application to Fast Sodium Current Recordings.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Challenges and opportunities in uncertainty quantification for healthcare and biological systems.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025Review
- Evaluating the predictive accuracy of ion-channel models using data from multiple experimental designs.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025Article
- A large population of cell-specific action potential models replicating fluorescence recordings of voltage in rabbit ventricular myocytes.Royal Society open science · 2025Article
- Guidelines for mechanistic modeling and analysis in cardiovascular research.American journal of physiology. Heart and circulatory physiology · 2024Review
- Implementing measurement error models with mechanistic mathematical models in a likelihood-based framework for estimation, identifiability analysis and prediction in the life sciences.Journal of the Royal Society, Interface · 2024Review
- A range of voltage-clamp protocol designs for rapid capture of hERG kinetics.Wellcome open research · 2024Article
- Empirical Quantification of Predictive Uncertainty Due to Model Discrepancy by Training with an Ensemble of Experimental Designs: An Application to Ion Channel Kinetics.Bulletin of mathematical biology · 2023Article
- Biventricular Interaction During Acute Left Ventricular Ischemia in Mice: A Combined In-Vivo and In-Silico Approach.Annals of biomedical engineering · 2023Article
- Importance of modelling hERG binding in predicting drug-induced action potential prolongations for drug safety assessment.Frontiers in pharmacology · 2023Article
- A pilot study of ion current estimation by ANN from action potential waveforms.Journal of biological physics · 2022Article
- Ion channel model reduction using manifold boundaries.Journal of the Royal Society, Interface · 2022Article
- Sensitivity analysis and inverse uncertainty quantification for the left ventricular passive mechanics.Biomechanics and modeling in mechanobiology · 2022Article
- Timing the race of vaccination, new variants, and relaxing restrictions during COVID-19 pandemic.Journal of computational science · 2022Article
- Characterisation of Omicron Variant during COVID-19 Pandemic and the Impact of Vaccination, Transmission Rate, Mortality, and Reinfection in South Africa, Germany, and Brazil.Biotech (Basel (Switzerland)) · 2022Article
- A Quantitative Systems Pharmacology Perspective on the Importance of Parameter Identifiability.Bulletin of mathematical biology · 2022Article
- An ensemble of parameters from a robust Markov-based model reproduces L-type calcium currents from different human cardiac myocytes.PloS one · 2022Article
- Shut and re-open: the role of schools in the spread of COVID-19 in Europe.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021Article
- Enabling forward uncertainty quantification and sensitivity analysis in cardiac electrophysiology by reduced order modeling and machine learning.International journal for numerical methods in biomedical engineering · 2021Article
- Markov chain Monte Carlo with Gaussian processes for fast parameter estimation and uncertainty quantification in a 1D fluid-dynamics model of the pulmonary circulation.International journal for numerical methods in biomedical engineering · 2021Article
Corrections and comments
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Authors and funding
17 authors.
Funding
Abstract
Uncertainty quantification (UQ) is a vital step in using mathematical models and simulations to take decisions. The field of cardiac simulation has begun to explore and adopt UQ methods to characterize uncertainty in model inputs and how that propagates through to outputs or predictions; examples of this can be seen in the papers of this issue. In this review and perspective piece, we draw attention to an important and under-addressed source of uncertainty in our predictions-that of uncertainty in the model structure or the equations themselves. The difference between imperfect models and reality is termed
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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.