Evidence map›Paper›PMID 32405699›Full record

ReviewPharmaceutical research2020

Translational Modeling Strategies for Orally Administered Drug Products: Academic, Industrial and Regulatory Perspectives.

Sandra Suarez-Sharp, Anders Lindahl, Tycho Heimbach, Amin Rostami-Hodjegan, Michael B Bolger, Siladitya Ray Chaudhuri, Bart Hens

Abstract readReview
PubMed Publisher
In one paragraph

Review in Pharmaceutical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. PBPK Modeling: Empowering Drug Development and Precision Dosing in China.CPT: pharmacometrics & systems pharmacology · 2025
    Review
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

7 authors.

Sandra Suarez-SharpDivision of Biopharmaceutics, Office of New Drug Products, Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland, USA.
Anders LindahlSwedish Medical Products Agency, Uppsala, Sweden.
Tycho HeimbachNovartis Institutes for BioMedical Research, East Hanover, New Jersey, USA.
Amin Rostami-HodjeganCentre for Applied Pharmacokinetic Research, School of Pharmacy and Pharmaceutical Sciences, University of Manchester, Manchester, UK.
Michael B BolgerSimulations Plus, Inc., 42505 10th Street West, Lancaster, California, USA.
Siladitya Ray ChaudhuriJanssen Research & Development, LLC, San Diego, California, USA.
Bart HensDrug Delivery & Disposition, Department of Pharmaceutical & Pharmacological Sciences, KU Leuven, Herestraat 49, Box 921, Gasthuisberg, 3000, Leuven, Belgium. bart.hens@kuleuven.be.ORCID http://orcid.org/0000-0002-4229-9843

Funding

Fonds Wetenschappelijk Onderzoek (BE) 12R2119N)
6 · The paper itself

Abstract

During non-clinical and clinical development of a new molecular entity (NME), modeling and simulation (M&S) are routinely used to predict the exposure and pharmacokinetics (PK) of the drug compound in humans. The basic methodology and output are generally understood across all functional disciplines. However, this understanding is mostly restricted to traditional methods such as those in simplified kinetic models and void of adequate mechanistic foundation to address questions beyond the observed clinical data. In the past two decades, alternative and more mechanistic methods, particularly for describing absorption, distribution, excretion and metabolism (ADME) of drugs have been developed and applied under the general umbrella of physiologically-based pharmacokinetic (PBPK) methods. Their mechanistic nature gives the ability to ask many other questions which were not traditionally asked and provide some logically and evidenced-based potential answers. Whilst traditional PK methods are mainstream and understood by most scientists, mechanistic absorption models alongside other PBPK approaches are still deemed eclectic, despite making significant strides in the fundamental science as well as regulatory acceptance. On November 3rd, a short course was held at the annual American Association of Pharmaceutical Scientists (AAPS) meeting in San Antonio, Texas. The different talks were tailored to provide a basis or rationale for the subject, introduction to fundamental principles with historical perspective, a critique of the state-of-the-art, examples of successful application of the methods across different phases of the drug development process and the specific standards these mechanistic models should meet to be fully reliable from a regulatory perspective.

Indexed as

Models, BiologicalModels, ChemicalAdministration, OralAnimalsHumansIntestinal AbsorptionMetabolic Clearance RatePermeabilityPharmaceutical PreparationsPharmacokineticsSolubilityTechnology, PharmaceuticalTissue DistributionPharmaceutical Preparationsoral absorptionphysiologically-based biopharmaceutics modelingphysiologically-based pharmacokinetic modelingproduct qualityregulatory

Identifiers

What OpenQuestion holds

Textmetadata
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.