Trial reportEuropean journal of drug metabolism and pharmacokinetics2021
Population Pharmacokinetics of Ibrutinib in Healthy Adults.
Trial report in European journal of drug metabolism and pharmacokinetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed, 1 citations in OpenAlex.
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
objectivesIbrutinib is an antineoplastic agent that reduces B-cell proliferation by inhibiting Bruton's tyrosine kinase. We describes population pharmacokinetics of ibrutinib in healthy adults, and explores potential patient characteristics associated with ibrutinib pharmacokinetics.
methodsA population pharmacokinetic modeling approach was applied to 39 healthy subjects. Modeling was performed using Monolix (v.2019R2). Serial blood samples to measure the plasma ibrutinib concentration were collected following the oral administration of 140 mg ibrutinib on two different occasions under fasting conditions. Demographic and clinical information were evaluated as possible predictors of ibrutinib pharmacokinetics during model development. Simulations (using mlxR: R package v.4.0.2) following the administration of therapeutic doses were performed to explore the clinical implications of identified covariates on ibrutinib steady-state concentrations.
resultsA two-compartment model with zero order absorption best fit the data. Inter-individual and inter-occasion variability were quantified by the proposed model. We identified smoking status as a significant covariate associated with ibrutinib clearance. Smoking was found to increase ibrutinib clearance by approximately 60%, which resulted in a reduction in simulated steady-state concentrations by around 40%.
conclusionThe model can be used to simulate clinical trials or various dosing scenarios. The proposed model can be used to optimize ibrutinib dosing based on the smoking status.
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