Evidence map›Paper›PMID 25518025›Full record

ArticleCPT: pharmacometrics & systems pharmacology2014

Prediction of Metabolic Interactions With Oxycodone via CYP2D6 and CYP3A Inhibition Using a Physiologically Based Pharmacokinetic Model.

N Marsousi, Y Daali, S Rudaz, L Almond, H Humphries, J Desmeules, C F Samer

Abstract read
In one paragraph

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

N Marsousi1] Department of Clinical Pharmacology and Toxicology, Geneva University Hospitals, Geneva University, Geneva, Switzerland [2] Department of Pharmaceutical Analytical Chemistry, School of Pharmaceutical Sciences, Geneva University, Geneva, Switzerland.
Y Daali1] Department of Clinical Pharmacology and Toxicology, Geneva University Hospitals, Geneva University, Geneva, Switzerland [2] Swiss Centre for Applied Human Toxicology, Geneva, Switzerland.
S Rudaz1] Department of Pharmaceutical Analytical Chemistry, School of Pharmaceutical Sciences, Geneva University, Geneva, Switzerland [2] Swiss Centre for Applied Human Toxicology, Geneva, Switzerland.
L AlmondSimcyp Limited (a Certara Company), Blades Enterprise Centre, Sheffield, UK.
H HumphriesSimcyp Limited (a Certara Company), Blades Enterprise Centre, Sheffield, UK.
J Desmeules1] Department of Clinical Pharmacology and Toxicology, Geneva University Hospitals, Geneva University, Geneva, Switzerland [2] Swiss Centre for Applied Human Toxicology, Geneva, Switzerland.
C F Samer1] Department of Clinical Pharmacology and Toxicology, Geneva University Hospitals, Geneva University, Geneva, Switzerland [2] Swiss Centre for Applied Human Toxicology, Geneva, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evaluation of a potential risk of metabolic drug-drug interactions (DDI) is of high importance in the clinical setting. In this study, a physiologically based pharmacokinetic (PBPK) model was developed for oxycodone and its two primary metabolites, oxymorphone and noroxycodone, in order to assess different DDI scenarios using published in vitro and in vivo data. Once developed and refined, the model was able to simulate pharmacokinetics of the three compounds and the DDI extent in case of coadministration with an inhibitor, as well as the oxymorphone concentration variation between CYP2D6 extensive metabolizers (EM) and poor metabolizers (PM). The reliability of the model was tested against published clinical studies monitoring different inhibitors and dose regimens, and all predicted area under the concentration-time curve (AUC) ratios were within the twofold acceptance range. This approach represents a strategy to evaluate the impact of coadministration of different CYP inhibitors using mechanistic incorporation of drug-dependent and system-dependent available in vitro and in vivo data.

Identifiers

PMID25518025
PMCPMC4288002

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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.