ArticleJournal of pharmacokinetics and pharmacodynamics2011
A population approach to in vitro-in vivo correlation modelling for compounds with nonlinear kinetics.
Article in Journal of pharmacokinetics and pharmacodynamics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- A convolution-based in vitro-in vivo correlation model for methylphenidate hydrochloride delayed-release and extended-release capsule.CPT: pharmacometrics & systems pharmacology · 2024Article
- Comparison of Alternative Population Modeling Approaches for Implementing a Level A IVIVC and for Assessing the Time-Scaling Factor Using Deconvolution and Convolution-Based Methods.The AAPS journal · 2020Article
- In Vitro Dissolution and in Silico Modeling Shortcuts in Bioequivalence Testing.Pharmaceutics · 2020Review
- Deconvolution Analysis by Non-linear Regression Using a Convolution-Based Model: Comparison of Nonparametric and Parametric Approaches.The AAPS journal · 2019Article
- Bioavailability, bioequivalence, and in vitro-in vivo correlation of oxybutynin transdermal patch in rabbits.Drug delivery and translational research · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Developing an In Vitro-In Vivo Correlation (IVIVC) model is becoming an important part of the drug development process. Traditional methods such as deconvolution and convolution make the assumption of linearity of the system being studied and are, therefore, unsuitable for use with compounds exhibiting nonlinear kinetics. This study proposes the use of a compartmental approach which may be based on systems of differential equations, a method which can comfortably accommodate nonlinearity. This technique can easily be implemented using existing NONMEM libraries and is an accurate, fast and straightforward method of developing an IVIVC model.
Indexed as
Identifiers
21409407What 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.