Evidence map›Paper›PMID 36456539›Full record

ReviewCPT: pharmacometrics & systems pharmacology2023

Mechanistic modeling of drug products applied to the skin: A workshop summary report.

Eleftheria Tsakalozou, Khondoker Alam, Priyanka Ghosh, Jessica Spires, Sebastian Polak, Lanyan Fang, Srinivasa Sammeta, Ping Zhao, Sumit Arora, Sam G Raney

Open access · goldAbstract readReview
In one paragraph

Review in CPT: pharmacometrics & systems pharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 17% 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, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  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

10 authors at 6 institutions in 5 countries.

Eleftheria TsakalozouDivision of Quantitative Methods and Modeling, Office of Research and Standards (ORS), Office of Generic Drugs (OGD), Center for Drug Evaluation and Research (CDER), U.S. Food and Drug Administration (FDA), Silver Spring, Maryland, USA.
Khondoker AlamDivision of Quantitative Methods and Modeling, Office of Research and Standards (ORS), Office of Generic Drugs (OGD), Center for Drug Evaluation and Research (CDER), U.S. Food and Drug Administration (FDA), Silver Spring, Maryland, USA.
Priyanka GhoshDivision of Therapeutic Performance I, Office of Research and Standards (ORS), Office of Generic Drugs (OGD), Center for Drug Evaluation and Research (CDER), U.S. Food and Drug Administration (FDA), Silver Spring, Maryland, USA.
Jessica SpiresSimulations Plus, Inc., Lancaster, California, USA.
Sebastian PolakCertara UK, Simcyp Division, Sheffield, UK.
Lanyan FangDivision of Quantitative Methods and Modeling, Office of Research and Standards (ORS), Office of Generic Drugs (OGD), Center for Drug Evaluation and Research (CDER), U.S. Food and Drug Administration (FDA), Silver Spring, Maryland, USA.
Srinivasa SammetaTeva Pharmaceuticals, Salt Lake City, Utah, USA.
Ping ZhaoBill & Melinda Gates Foundation, Seattle, Washington, USA.
Sumit AroraCertara UK, Simcyp Division, Sheffield, UK.
Sam G RaneyDivision of Therapeutic Performance I, Office of Research and Standards (ORS), Office of Generic Drugs (OGD), Center for Drug Evaluation and Research (CDER), U.S. Food and Drug Administration (FDA), Silver Spring, Maryland, USA.ORCID 0000-0003-3562-8175
United States Food and Drug Administration · USGates Foundation · USJagiellonian University · PLJohnson & Johnson (United States) · USSimulations Plus (United States) · USTeva Pharmaceuticals (United States) · US

Funding

Assessment of Transdermal Drug Product Quality and Performance Attributes via Enhanced Virtual Bioequivalence SimulationsU01FD006526 · FDA · SIMULATIONS PLUS, INC. · PI SPIRES, JESSICA ROSE · 2018 to 2019
$503k
FDA HHS U01 FD006526
6 · The paper itself

Abstract

The development of a generic drug product involves demonstrating that there is no significant difference in the rate and extent to which the active ingredient becomes available at the site of action, relative to the reference listed drug product. This remains challenging for many locally acting topical dermatological products because measuring the concentration of the active ingredient at the site of action in the skin may not be straightforward, and, in most instances, there are no established relationships between skin and plasma pharmacokinetic profiles. In recent years, the Office of Generic Drugs of the US Food and Drug Administration (FDA) established scientific research programs with the goal of enhancing patient access to high quality, affordable topical dermatological generics. A key strategy of these research programs was to leverage modeling and simulation methodologies that accelerate the development of these generics by facilitating alternative bioequivalence approaches for dermatological drug products. This report summarizes relevant insights and discussions from a 2021 FDA public workshop titled "Regulatory Utility of Mechanistic Modeling to Support Alternative Bioequivalence Approaches," which illustrated how mechanistic modeling and simulation approaches can be utilized (and have been used) to inform generic drug product development and regulatory decisions during the assessment of generic drug applications submitted to the FDA.

Indexed as

Drugs, GenericResearch ReportHumansPharmaceutical PreparationsSkinTherapeutic EquivalencyDrugs, GenericPharmaceutical Preparations

Identifiers

PMID36456539
PMCPMC10196403
OpenAlexW4310540134

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.