Evidence map›Paper›PMID 38177638›Full record

ReviewThe AAPS journal2024

Use of the Same Model or Modeling Strategy Across Multiple Submissions: Focus on Complex Drug Products.

Ross L Walenga, Andrew H Babiskin, Sid Bhoopathy, James F Clarke, Jan De Backer, Murray Ducharme, Marc Kelly, Maxime Le Merdy, Miyoung Yoon, Partha Roy

Abstract readReview
PubMed Publisher
In one paragraph

Review in The AAPS journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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

Ross L WalengaDivision of Quantitative Methods and Modeling, Office of Research and Standards, Office of Generic Drugs, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD, USA. Ross.Walenga@fda.hhs.gov.
Andrew H BabiskinDivision of Quantitative Methods and Modeling, Office of Research and Standards, Office of Generic Drugs, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD, USA.
Sid BhoopathyPharmaron US Lab Services and CGT, Exton, Pennsylvania, USA.
James F ClarkeSimcyp Division, Certara UK, Sheffield, UK.
Jan De BackerFLUIDDA INC., New York, NY, USA.
Murray DucharmeLearn and Confirm Inc., St-Laurent, Québec, Canada.
Marc KellyGlobal Inhalation R&D, Teva, London, UK.
Maxime Le MerdySimulations Plus, Inc., Lancaster, California, USA.
Miyoung YoonDivision of Quantitative Methods and Modeling, Office of Research and Standards, Office of Generic Drugs, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD, USA.
Partha RoyOffice of Bioequivalence, Office of Generic Drugs, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD, USA.

Funding

Center for Research on Complex GenericsU18FD007054 · FDA · UNIVERSITY OF MARYLAND BALTIMORE · PI JAMES E POLLI, Anna Schwendeman · 2020 to 2026
$6.8M
FDA HHS U18 FD007054
6 · The paper itself

Abstract

Evidence shows that there is an increasing use of modeling and simulation to support product development and approval for complex generic drug products in the USA, which includes the use of mechanistic modeling and model-integrated evidence (MIE). The potential for model reuse was the subject of a workshop session summarized in this review, where the session included presentations and a panel discussion from members of the U.S. Food and Drug Administration (FDA), academia, and the generic drug product industry. Concepts such as platform performance assessment and MIE standardization were introduced to provide potential frameworks for model reuse related to mechanistic models and MIE, respectively. The capability of models to capture formulation and product differences was explored, and challenges with model validation were addressed for drug product classes including topical, orally inhaled, ophthalmic, and long-acting injectable drug products. An emphasis was placed on the need for communication between FDA and the generic drug industry to continue to foster maturation of modeling and simulation that may support complex generic drug product development and approval, via meetings and published guidance from FDA. The workshop session provided a snapshot of the current state of modeling and simulation for complex generic drug products and offered opportunities to explore the use of such models across multiple drug products.

Indexed as

Drugs, GenericComputer SimulationPharmaceutical PreparationsTherapeutic EquivalencyUnited StatesUnited States Food and Drug AdministrationDrugs, GenericPharmaceutical PreparationsComplex drug productsComputational fluid dynamicsGeneric drug productsMechanistic modelingModel-integrated evidencePhysiologically based pharmacokineticsPopulation pharmacokinetics

Identifiers

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.