ArticleFrontiers in physiology2017
Uncertainty Quantification Reveals the Importance of Data Variability and Experimental Design Considerations for
Registry-linked trialOpen access · goldAbstract read
In one paragraph
Article in Frontiers in physiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05716854 (Clinical ECG Study to Evaluate Electrophysiological Effects of Potential QT Prolonging Drugs With Novel ECG Biomarkers With Exposure-Response Analysis), which is not on this map. Cited by 57 papers.
0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
7.3field-weighted citation impact, top 2% of its field
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.
Clinical ECG Study to Evaluate Electrophysiological Effects of Potential QT Prolonging Drugs With Novel ECG Biomarkers With Exposure-Response Analysis
Who cites it
57 citing papers in PubMed, 101 citations in OpenAlex.
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- Proarrhythmic Risk Assessment of Sildenafil under High-Dose Misuse Conditions Using the Comprehensive In Vitro Proarrhythmia Assay (CiPA).Biomolecules & therapeutics · 2026Article
- 25 years of applying the 3Rs principles in safety pharmacology: success stories and future perspectives.Frontiers in physiology · 2026Review
- Toward Standardized Methodologies for Drug-Induced Proarrhythmia Classification: An In Silico Proof of Concept.Computational and structural biotechnology journal · 2026Article
- A multiscale computational model of cardiac electrophysiology for drug-induced pro-arrhythmic risk stratification.Biomedical engineering letters · 2026Article
- Digital twin for sex-specific identification of class III antiarrhythmic drugs based on in vitro measurements, computer models, and machine learning tools.PLoS computational biology · 2025Article
- Article
- A stacking ensemble machine learning model for evaluating cardiac toxicity of drugs based on in silico biomarkers.CPT: pharmacometrics & systems pharmacology · 2024Article
- Cardiotoxicity evaluation of two-drug fixed-dose combination therapy under CiPA: a computational study.Translational and clinical pharmacology · 2024Article
- Explainable artificial intelligence (XAI) to find optimal in-silico biomarkers for cardiac drug toxicity evaluation.Scientific reports · 2024Article
- Computational modeling of cardiac electrophysiology and arrhythmogenesis: toward clinical translation.Physiological reviews · 2024Review
- Development ofTranslational and clinical pharmacology · 2024Article
- Article
- Evaluation of cardiac pro-arrhythmic risks using the artificial neural network with ToR-ORdFrontiers in physiology · 2024Article
- Neural network emulation of the human ventricular cardiomyocyte action potential: a tool for more efficient computation in pharmacological studies.bioRxiv : the preprint server for biology · 2023Article
- Uncertainty assessment of proarrhythmia predictions derived from multi-level in silico models.Archives of toxicology · 2023Article
- In silico assessment on TdP risks of drug combinations under CiPA paradigm.Scientific reports · 2023Article
- Application of Convolutional Neural Networks Using Action Potential Shape for In-Silico Proarrhythmic Risk Assessment.Biomedicines · 2023Article
- Bayesian inference for fitting cardiac models to experiments: estimating parameter distributions using Hamiltonian Monte Carlo and approximate Bayesian computation.Medical & biological engineering & computing · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 3 institutions in 2 countries.
Kelly C ChangDivision of Applied Regulatory Science, Center for Drug Evaluation and Research, Office of Translational Sciences, Office of Clinical Pharmacology, Food and Drug Administration, Silver Spring, MD, United States.
Sara DuttaDivision of Applied Regulatory Science, Center for Drug Evaluation and Research, Office of Translational Sciences, Office of Clinical Pharmacology, Food and Drug Administration, Silver Spring, MD, United States.
Gary R MiramsCentre for Mathematical Medicine and Biology, School of Mathematical Sciences, University of Nottingham, Nottingham, United Kingdom.
Kylie A BeattieDivision of Applied Regulatory Science, Center for Drug Evaluation and Research, Office of Translational Sciences, Office of Clinical Pharmacology, Food and Drug Administration, Silver Spring, MD, United States.
Jiansong ShengDivision of Applied Regulatory Science, Center for Drug Evaluation and Research, Office of Translational Sciences, Office of Clinical Pharmacology, Food and Drug Administration, Silver Spring, MD, United States.
Phu N TranDivision of Applied Regulatory Science, Center for Drug Evaluation and Research, Office of Translational Sciences, Office of Clinical Pharmacology, Food and Drug Administration, Silver Spring, MD, United States.
Min WuDivision of Applied Regulatory Science, Center for Drug Evaluation and Research, Office of Translational Sciences, Office of Clinical Pharmacology, Food and Drug Administration, Silver Spring, MD, United States.
Wendy W WuDivision of Applied Regulatory Science, Center for Drug Evaluation and Research, Office of Translational Sciences, Office of Clinical Pharmacology, Food and Drug Administration, Silver Spring, MD, United States.
Thomas ColatskyMarshview Life Science Advisors, Seabrook Island, SC, United States.
David G StraussDivision of Applied Regulatory Science, Center for Drug Evaluation and Research, Office of Translational Sciences, Office of Clinical Pharmacology, Food and Drug Administration, Silver Spring, MD, United States.
Zhihua LiDivision of Applied Regulatory Science, Center for Drug Evaluation and Research, Office of Translational Sciences, Office of Clinical Pharmacology, Food and Drug Administration, Silver Spring, MD, United States.
Center for Drug Evaluation and Research · USSeabrook · USUniversity of Nottingham · GB
Funding
Wellcome Trust
Abstract
The Comprehensive
Indexed as
action potentialcardiac electrophysiologycomputational modelingexperimental variabilityion channelpharmacologyTorsade de Pointesuncertainty quantification
Identifiers
What OpenQuestion holds
Textmetadata
LicenceCC BY
Read underepoch 390
Registered trials
NCT05716854ClinicalTrials.gov
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.