ArticleCPT: pharmacometrics & systems pharmacology2014
Predicting QTc Prolongation in Man From Only In Vitro Data.
Article in CPT: pharmacometrics & systems pharmacology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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.
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
2 citing papers in PubMed, 4 citations in OpenAlex.
- Comprehensive in vitro pro-arrhythmic assays demonstrate that omecamtiv mecarbil has low pro-arrhythmic risk.Clinical and translational science · 2021Article
- Application of a systems pharmacology model for translational prediction of hERG-mediated QTc prolongation.Pharmacology research & perspectives · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mishra et al.(1) in their article "Interaction between domperidone and ketoconazole: toward prediction of consequent QTc prolongation using purely in vitro information" describe the use of physiologically based pharmacokinetic (PBPK) modeling and pharmacodynamic models of cardiac repolarization to predict clinical data from preclinical data. Eliminating the risk of cardiac arrhythmias through delayed repolarization often relies on preclinical data during compound selection. Although there are some limitations, there appears to be significant promise in using this modeling approach.
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.