Evidence map›Paper›PMID 33147873›Full record

ArticlePharmaceutics2020

Physiologically Based Pharmacokinetic/Pharmacodynamic Modeling to Predict the Impact of CYP2C9 Genetic Polymorphisms, Co-Medication and Formulation on the Pharmacokinetics and Pharmacodynamics of Flurbiprofen.

Ioannis Loisios-Konstantinidis, Rodrigo Cristofoletti, Masoud Jamei, David Turner, Jennifer Dressman

Open access · goldAbstract read
In one paragraph

Article in Pharmaceutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% of its field
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Metabolites · 2022
    Article
  5. Article
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

5 authors at 3 institutions in 3 countries.

Ioannis Loisios-KonstantinidisInstitute of Pharmaceutical Technology, Goethe University, Max-von-Laue str. 9, 60438 Frankfurt am Main, Germany.ORCID 0000-0003-2586-3577
Rodrigo CristofolettiCenter for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando, FL 32827, USA.
Masoud JameiCertara UK Limited, Simcyp Division, 1 Concourse Way, Sheffield S1 2BJ, UK.ORCID 0000-0002-3443-0194
David TurnerCertara UK Limited, Simcyp Division, 1 Concourse Way, Sheffield S1 2BJ, UK.
Jennifer DressmanInstitute of Pharmaceutical Technology, Goethe University, Max-von-Laue str. 9, 60438 Frankfurt am Main, Germany.
Goethe University Frankfurt · DESimcyp (United Kingdom) · GBUniversity of Florida · US

Funding

H2020 Marie Skłodowska-Curie Actions 674909
6 · The paper itself

Abstract

Physiologically based pharmacokinetic/pharmacodynamic (PBPK/PD) models can serve as a powerful framework for predicting the influence as well as the interaction of formulation, genetic polymorphism and co-medication on the pharmacokinetics and pharmacodynamics of drug substances. In this study, flurbiprofen, a potent non-steroid anti-inflammatory drug, was chosen as a model drug. Flurbiprofen has absolute bioavailability of ~95% and linear pharmacokinetics in the dose range of 50-300 mg. Its absorption is considered variable and complex, often associated with double peak phenomena, and its pharmacokinetics are characterized by high inter-subject variability, mainly due to its metabolism by the polymorphic CYP2C9 (fmCYP2C9 ≥ 0.71). In this study, by leveraging

Indexed as

drug–drug interaction (DDI)in vitro in vivo extrapolation (IVIVE)mechanistic oral absorption modelingpharmacogeneticspharmacokinetics/pharmacodynamics (PK/PD)physiologically based pharmacokinetic (PBPK) modeling

Identifiers

PMID33147873
PMCPMC7693160
OpenAlexW3097307756

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.