Evidence map›Paper›PMID 27448198›Full record

ArticleClinical pharmacology and therapeutics2016

Transport vs. Metabolism: What Determines the Pharmacokinetics and Pharmacodynamics of Drugs? Insights From the Extended Clearance Model.

G Patilea-Vrana, J D Unadkat

Abstract read
In one paragraph

Article in Clinical pharmacology and therapeutics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 citing papers in PubMed.

  1. Positron Emission Tomography Imaging of [Clinical pharmacology and therapeutics · 2019
    Trial
  2. Article
  3. Dysregulation of Human Hepatic Drug Transporters by Proinflammatory Cytokines.The Journal of pharmacology and experimental therapeutics · 2024
    Article
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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

2 authors.

G Patilea-VranaDepartment of Pharmaceutics, University of Washington, Seattle, Washington, USA.
J D UnadkatDepartment of Pharmaceutics, University of Washington, Seattle, Washington, USA. jash@uw.edu.

Funding

Understanding Fetal Exposure to Cannabinoids Through In Vitro and In Vivo StudiesP01DA032507 · NIDA · UNIVERSITY OF WASHINGTON · PI UNADKAT, JASHVANT D · 2013 to 2023
$12.4M
NRSA Training CoreTL1TR002318 · NCATS · UNIVERSITY OF WASHINGTON · PI Megan Moore · 2017 to 2026
$8.4M
Institute of Translational Health SciencesTL1TR000422 · NCATS · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2012 to 2016
$2.1M
NCATS NIH HHS TL1 TR000422NCATS NIH HHS TL1 TR002318NIDA NIH HHS P01 DA032507
6 · The paper itself

Abstract

The well-stirred hepatic clearance model (WSHM) has been expanded to include drug transporters (i.e., extended clearance model [ECM]). However, the consequences of this expansion in understanding when transporters vs. metabolic enzymes will affect the pharmacokinetic (PK) and pharmacodynamic (PD) of drugs remains opaque. Identifying the rate-determining step(s) in systemic or tissue drug PK/PD will allow accurate predictions of drug PK/PD and drug-drug interactions (DDIs). Here, we clarify the implications of the ECM on PK/PD of drugs.

Indexed as

Inactivation, MetabolicModels, BiologicalPharmacokineticsBiological TransportHumansLiverMembrane Transport ProteinsPharmaceutical PreparationsMembrane Transport ProteinsPharmaceutical Preparations

Identifiers

PMID27448198
PMCPMC5056141

What OpenQuestion holds

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Registered trials

None linked

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.