Evidence map›Paper›PMID 36330693›Full record

ReviewCPT: pharmacometrics & systems pharmacology2023

Mechanistic modeling of generic orally inhaled drug products: A workshop summary report.

Ross L Walenga, Clare Butler, Brent A Craven, P Worth Longest, Raja Mohamed, Bryan Newman, Bo Olsson, Günther Hochhaus, Bing V Li, Markham C Luke and 3 more

Abstract 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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Direct Numerical Simulations of Inhalation in a 23-Generation Lung Model.International journal for numerical methods in biomedical engineering · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. 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

13 authors.

Ross L WalengaDivision of Quantitative Methods and Modeling, Office of Research and Standards, Office of Generic Drugs, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA.
Clare ButlerInhaled Drug Product Research and Development Division, Teva Pharmaceuticals Ireland, Waterford, Ireland.
Brent A CravenDivision of Applied Mechanics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, Maryland, USA.ORCID 0000-0001-8474-4856
P Worth LongestVirginia Commonwealth University, Richmond, Virginia, USA.
Raja MohamedNovartis Healthcare Private Ltd, Sandoz Development Centre (SDC), India.
Bryan NewmanDivision of Therapeutic Performance I, Office of Research and Standards, Office of Generic Drugs, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA.
Bo OlssonEmmace Consulting AB, Lund, Sweden.
Günther HochhausDepartment of Pharmaceutics, University of Florida, Gainesville, Florida, USA.ORCID 0000-0002-7406-5558
Bing V LiOffice of Bioequivalence, Office of Generic Drugs, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA.
Markham C LukeDivision of Therapeutic Performance I, Office of Research and Standards, Office of Generic Drugs, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA.
Liang ZhaoDivision of Quantitative Methods and Modeling, Office of Research and Standards, Office of Generic Drugs, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA.
Andrzej PrzekwasCFD Research Corporation, Huntsville, Alabama, USA.
Robert LionbergerOffice of Research and Standards, Office of Generic Drugs, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In silico mechanistic modeling approaches have been designed by various stakeholders with the goal of supporting development and approval of generic orally inhaled drug products in the United States. This review summarizes the presentations and panel discussion that comprised a workshop session concentrated on the use of in silico models to predict various outcomes following orally inhaled drug product administration, including the status of such models and how model credibility may be effectively established.

Indexed as

Drugs, GenericResearch ReportAdministration, InhalationComputer SimulationHumansTherapeutic EquivalencyDrugs, Generic

Identifiers

PMID36330693
PMCPMC10196431

What OpenQuestion holds

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LicenceCC BY-NC
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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.