ArticleThe Journal of pharmacology and experimental therapeutics2020
Sampling Site Has a Critical Impact on Physiologically Based Pharmacokinetic Modeling.
Article in The Journal of pharmacology and experimental therapeutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 23 citations in OpenAlex.
- Advances and Challenges in Pharmacokinetic Modeling for PET Imaging: Compartment Models, Input Functions, and Quantitative Techniques.Tomography (Ann Arbor, Mich.) · 2026Review
- Manuscript DMD-D-25-00346 The impact of glycocalyx on partitioning and distribution of basic drugs.Drug metabolism and disposition: the biological fate of chemicals · 2026Article
- Role of metabolites in drug-drug interactions.Drug metabolism and pharmacokinetics · 2026Review
- 3D Hepatocyte Model with Composite Nanofibers That Reproduced Human In Vivo Drug Clearance Profiles.ACS pharmacology & translational science · 2025Article
- Rat PermQ: A permeability- and perfusion-based physiologically based pharmacokinetic model for improved prediction of drug concentration-time profiles in rat.Drug metabolism and disposition: the biological fate of chemicals · 2025Article
- Physiologically based pharmacokinetic modeling of small molecules: How much progress have we made?Drug metabolism and disposition: the biological fate of chemicals · 2025Review
- Review
- A permeability- and perfusion-based PBPK model for improved prediction of concentration-time profiles.Clinical and translational science · 2022Article
- Predicting Regional Respiratory Tissue and Systemic Concentrations of Orally Inhaled Drugs through a Novel PBPK Model.Drug metabolism and disposition: the biological fate of chemicals · 2022Article
- Bridging the gap between in silico and in vivo by modeling opioid disposition in a kidney proximal tubule microphysiological system.Scientific reports · 2021Article
- Predicting Maternal-Fetal Disposition of Fentanyl Following Intravenous and Epidural Administration Using Physiologically Based Pharmacokinetic Modeling.Drug metabolism and disposition: the biological fate of chemicals · 2021Article
- Physiologically Based Pharmacokinetics of Lysosomotropic Chloroquine in Rat and Human.The Journal of pharmacology and experimental therapeutics · 2021Article
- Novel Mechanistic PBPK Model to Predict Renal Clearance in Varying Stages of CKD by Incorporating Tubular Adaptation and Dynamic Passive Reabsorption.CPT: pharmacometrics & systems pharmacology · 2020Article
- Mechanistic PBPK Modeling of Urine pH Effect on Renal and Systemic Disposition of Methamphetamine and Amphetamine.The Journal of pharmacology and experimental therapeutics · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
It has been shown that arterial (central) and venous (peripheral) plasma drug concentrations can be very different. While pharmacokinetic studies typically measure drug concentrations from the peripheral vein such as the arm vein, physiologically based pharmacokinetic (PBPK) models generally output simulated concentrations from the central venous compartment that physiologically represents the right atrium, a merge of the superior and inferior vena cava. In this study, a physiologically based peripheral forearm sampling site model was developed and verified using nicotine, ketamine, lidocaine, and fentanyl as model drugs. This verified model allows output of simulated peripheral venous concentrations that can be meaningfully compared with observed pharmacokinetic data from the arm vein. The generalized effect of PBPK model sampling site on simulation output was investigated. Drugs and metabolites with large volumes of distribution showed considerable concentration discrepancy between the simulated central venous compartment and the peripheral arm vein after intravenous or oral administration, resulting in significant differences in values for
Indexed as
Identifiers
What 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.