ReviewClinical pharmacokinetics2008
Towards quantitative prediction of oral drug absorption.
Review in Clinical pharmacokinetics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Improving In Vitro-In Vivo Correlation (IVIVC) for Lipid-Based Formulations: Overcoming Challenges and Exploring Opportunities.Pharmaceutics · 2025Review
- Critical aspects in dissolution testing of nanomaterials in the oro-gastrointestinal tract: the relevance of juice composition for hazard identification and grouping.Nanoscale advances · 2024Article
- Improving ADMET Prediction Accuracy for Candidate Drugs: Factors to Consider in QSPR Modeling Approaches.Current topics in medicinal chemistry · 2024Review
- Simulation Models for Prediction of Bioavailability of Medicinal Drugs-the Interface Between Experiment and Computation.AAPS PharmSciTech · 2022Review
- Modeling and Simulation of Process Technology for Nanoparticulate Drug Formulations-A Particle Technology Perspective.Pharmaceutics · 2020Review
- The Segregated Intestinal Flow Model (SFM) for Drug Absorption and Drug Metabolism: Implications on Intestinal and Liver Metabolism and Drug-Drug Interactions.Pharmaceutics · 2020Review
- The improvement of the dissolution rate of ziprasidone free base from solid oral formulations.AAPS PharmSciTech · 2015Article
- Serine side chain-linked peptidomimetic conjugates of cyclic HPMPC and HPMPA: synthesis and interaction with hPEPT1.Molecular pharmaceutics · 2010Article
- Pyrazolylthiazole as DeltaF508-cystic fibrosis transmembrane conductance regulator correctors with improved hydrophilicity compared to bithiazoles.Journal of medicinal chemistry · 2010Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although several routes of administration can be considered for new drug entities, the oral route remains the most popular. To predict the in vivo performance of a drug after oral administration from in vitro data, it is essential that the factors limiting absorption can be modelled. Factors limiting oral drug absorption are typically slow and/or incomplete dissolution, formation of insoluble complexes and/or decomposition in the gastrointestinal lumen, poor net permeability and first-pass metabolism. Although many attempts have been made to make global forecasts of oral bioavailability based on a single parameter (ranging from the partition coefficient [logP] to the polar surface area), it is clear from the diversity of properties that can influence delivery of drugs via the oral route that such an approach can at best lead to a qualitative estimation. To predict in vivo performance in a more quantitative way, it is instead necessary to identify the extent to which each of the aforementioned factors can limit absorption, and then combine the information into a comprehensive model of the absorptive processes. Much progress has been made in the last 10 years on developing methods to pin down the extent to which each of the factors actually limits the absorption of a given compound and, concomitantly, physiological models have been evolved, which show promise in terms of being able to integrate the information generated about each of the individual limiting factors. This article attempts to summarize recent progress on the various fronts as a kind of 'progress report' towards quantitative prediction of oral drug absorption.
Indexed as
Identifiers
18783296What 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.