Evidence map›Paper›PMID 31215774›Full record

ArticleCPT: pharmacometrics & systems pharmacology2019

Recommendations for the Design of Clinical Drug-Drug Interaction Studies With Itraconazole Using a Mechanistic Physiologically-Based Pharmacokinetic Model.

Yuan Chen, Tamara D Cabalu, Ernesto Callegari, Heidi Einolf, Lichuan Liu, Neil Parrott, Sheila Annie Peters, Edgar Schuck, Pradeep Sharma, Helen Tracey and 4 more

Abstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Pharmacokinetics and Drug-Drug Interaction of Ocedurenone (KBP-5074) in vitro and in vivo.European journal of drug metabolism and pharmacokinetics · 2023
    Article
  18. Article
  19. Article
  20. 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

14 authors.

Yuan ChenDepartment of Drug Metabolism and Pharmacokinetics, Genentech Inc., a member of the Roche Group, South San Francisco, California, USA.
Tamara D CabaluDepartment of Pharmacokinetics, Pharmacodynamics, and Drug Metabolism, Merck & Co., Inc., Kenilworth, New Jersey, USA.
Ernesto CallegariPharmacokinetics, Dynamics and Metabolism, Pfizer Inc., Groton, Connecticut, USA.
Heidi EinolfModeling & Simulation, PK Sciences, Novartis Institutes for Biomedical Research, East Hanover, New Jersey, USA.
Lichuan LiuGenentech Inc., a member of the Roche Group, South San Francisco, California, USA.
Neil ParrottPharmaceutical Sciences, Pharmaceutical Research and Early Development, Roche Innovation Centre, Basel, F. Hoffmann-La Roche Ltd., Basel, Switzerland.
Sheila Annie PetersTranslational Quantitative Pharmacology, Merck KGaA, Darmstadt, Germany.ORCID 0000-0002-7436-8743
Edgar SchuckModeling & Simulation, Clinical Pharmacology Science/Medicine Development Center (MDC), Eisai Inc., Woodcliff Lake, New Jersey, USA.
Pradeep SharmaMechanistic Safety and ADME Sciences, Drug Safety and Metabolism, Innovative Medicines (IMED) Biotech Unit , AstraZeneca R&D, Cambridge, UK.
Helen TraceyDepartment of Mechanistic Safety and Disposition, GlaxoSmithKline, Hertfordshire, UK.
Vijay V UpretiClinical Pharmacology Modeling and Simulation, Amgen Inc., South San Francisco, California, USA.
Ming ZhengClinical Pharmacology and Pharmacometrics, Bristol-Myers Squibb Company, Princeton, New Jersey, USA.
Andy Z X ZhuDepartment of Drug Metabolism and Pharmacokinetics, Takeda Pharmaceuticals International Co., Cambridge, Massachusetts, USA.
Stephen D HallLilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Regulatory agencies currently recommend itraconazole (ITZ) as a strong cytochrome P450 3A (CYP3A) inhibitor for clinical drug-drug interaction (DDI) studies. This work by an International Consortium for Innovation and Quality in Pharmaceutical Development working group (WG) is to develop and verify a mechanistic ITZ physiologically-based pharmacokinetic model and provide recommendations for optimal DDI study design based on model simulations. To support model development and verification, in vitro and clinical PK data for ITZ and its metabolites were collected from WG member companies. The model predictions of ITZ DDIs with seven different CYP3A substrates were within the guest criteria for 92% of area under the concentration-time curve ratios and 95% of maximum plasma concentration ratios, thus verifying the model for DDI predictions. The verified model was used to simulate various clinical DDI study scenarios considering formulation, duration of dosing, dose regimen, and food status to recommend the optimal design for maximal inhibitory effect by ITZ.

Indexed as

Area Under CurveCytochrome P-450 CYP3ADrug Dosage CalculationsDrug InteractionsFood-Drug InteractionsHumansItraconazoleModels, StatisticalCYP3A protein, humanCytochrome P-450 CYP3AItraconazole

Identifiers

PMID31215774
PMCPMC6765698

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.