ArticleClinical and translational science2023
Physiologically based absorption modeling to predict the bioequivalence of two cilostazol formulations.
Article in Clinical and translational science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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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Who cites it
3 citing papers in PubMed.
- From In Vivo Predictive Dissolution to Virtual Bioequivalence: A GastroPlusPharmaceuticals (Basel, Switzerland) · 2025Article
- Physiologically based absorption modeling to predict the bioequivalence of two apixaban formulations.Clinical and translational science · 2024Article
- Physiologically based absorption modeling to predict the bioequivalence of two cilostazol formulations.Clinical and translational science · 2023Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In vivo pharmacokinetic simulations and virtual bioequivalence (BE) evaluation of cilostazol have not yet been described for humans. Here, we successfully developed a physiologically based absorption model to simulate plasma concentrations of cilostazol. In addition, virtual population simulations integrating dissolution of 0.3% sodium dodecyl sulfate water media were executed to evaluate the BE of test and reference formulations. Simulation results show that test and reference formulations were bioequivalent among 28 subjects, but not nine subjects, consistent with clinical studies. The model proved to be an important tool to show potential BE for cilostazol. This finding may facilitate understanding of the potential risks during the development of generic products.
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