Evidence map›Paper›PMID 38200397›Full record

ArticleThe AAPS journal2024

Experience Learned and Perspectives on Using Model-Integrated Evidence in the Regulatory Context for Generic Drug Products-a Meeting Report.

Eleftheria Tsakalozou, Lanyan Fang, Youwei Bi, Michiel van den Heuvel, Tausif Ahmed, Yu Chung Tsang, Robert Lionberger, Amin Rostami-Hodjegan, Liang Zhao

Abstract read
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In one paragraph

Article 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.8field-weighted citation impact, top 11% 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, 4 citations in OpenAlex.

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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

9 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), 10903 New Hampshire Avenue, Silver Spring, Maryland, 20993, USA. Eleftheria.Tsakalozou@fda.hhs.gov.
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), 10903 New Hampshire Avenue, Silver Spring, Maryland, 20993, USA.
Youwei BiOffice of Clinical Pharmacology, Office of Translational Sciences, CDER, FDA, Silver Spring, Maryland, USA.
Michiel van den HeuvelMedicines Evaluation Board (MEB), Utrecht, The Netherlands.
Tausif AhmedBiopharmaceutics and Bioequivalence Group, Global Clinical Management, Dr. Reddy's Laboratories Ltd., Integrated Product Development Organization (IPDO), Bachupally, Medchal Malkajgiri District, Hyderabad, 500 090, Telangana, India.
Yu Chung TsangApotex Inc., Toronto, Ontario, Canada.
Robert LionbergerOffice of Research and Standards (ORS), Office of Generic Drugs (OGD), CDER, FDA, Silver Spring, Maryland, USA.
Amin Rostami-HodjeganCentre for Applied Pharmacokinetic Research, University of Manchester, Manchester, UK.
Liang ZhaoDivision 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), 10903 New Hampshire Avenue, Silver Spring, Maryland, 20993, USA.
Center for Drug Evaluation and Research · USUnited States Food and Drug Administration · USApotex (Canada) · CADr. Reddy's Laboratories (India) · INIntegra LifeSciences (United States) · USMedicines Evaluation Board · NL

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

This report summarizes relevant insights and discussions from a 2022 FDA public workshop titled Best Practices for Utilizing Modeling Approaches to Support Generic Product Development which illustrated how model-integrated evidence has been used and can be leveraged further to inform generic drug product development and regulatory decisions during the assessment of generic drug applications submitted to the FDA. The workshop attendees discussed that model-integrated evidence (MIE) approaches for generics are being applied in the space of long-acting injectable (LAI) products to develop shorter and more cost-effective alternative study designs for LAI products. Modeling and simulation approaches are utilized to support virtual BE assessments at the site of action for locally acting drug products and to assess the impact of food on BE assessments for oral dosage forms. The factors contributing to the success of the model-informed drug development program under PDUFA VI were discussed. The generic drug industry shared that decisions on formulation candidate/formulation variant selection, on pilot in vivo bioavailability studies, and on alternative study designs for BE assessment are informed by modeling and simulation approaches. There was agreement that interactions between the regulatory agencies and the industry are desirable because they improve the industry's understanding of scientific and other regulatory considerations on implementing modeling and simulation approaches in drug development and regulatory submissions.

Indexed as

Drug DevelopmentDrugs, GenericBiological AvailabilityComputer SimulationDrug IndustryDrugs, Genericbioequivalencegenericsmodel-integrated evidenceworkshop report

Identifiers

PMID38200397
OpenAlexW4390692803

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.