Marketing Authorization Applications Made to the European Medicines Agency in 2018-2019: What was the Contribution of Real-World Evidence?


Journal

Clinical pharmacology and therapeutics
ISSN: 1532-6535
Titre abrégé: Clin Pharmacol Ther
Pays: United States
ID NLM: 0372741

Informations de publication

Date de publication:
01 2022
Historique:
received: 01 03 2021
accepted: 13 10 2021
pubmed: 25 10 2021
medline: 23 2 2022
entrez: 24 10 2021
Statut: ppublish

Résumé

Information derived from routinely collected real-world data has for a long time been used to support regulatory decision making on the safety of drugs and has more recently been used to support marketing authorization submissions to regulators. There is a lack of detailed information on the use and types of this real-world evidence (RWE) as submitted to regulators. We used resources held by the European Medicines Agency (EMA) to describe the characteristics of RWE included in new marketing authorization applications (MAAs) and extensions of indication (EOIs) for already authorized products submitted to the EMA in 2018 and 2019. For MAAs, 63 of 158 products (39.9%) contained RWE with a total of 117 studies. For 31.7% of these products, the RWE submitted was derived from data collected before the planned authorization. The most common data sources were registries (60.3%) followed by hospital data (31.7%). RWE was mainly included to support safety (87.3%) and efficacy (49.2%) with cohort studies being the most frequently used study design (88.9%). For EOIs, 28 of 153 products (18.3%) contained RWE with a total of 36 studies. For 57.1% of these products, studies were conducted prior to the EOIs. RWE sources were mainly registries (35.6%) and hospital data (27.0%). RWE was typically used to support safety (82.1%) and efficacy (53.6%). Cohort studies were the most commonly used study design (87.6%). We conclude that there is widespread use of RWE to support evaluation of MAAs and EOIs submitted to the EMA and identify areas where further research is required.

Identifiants

pubmed: 34689339
doi: 10.1002/cpt.2461
pmc: PMC9299056
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

90-97

Informations de copyright

© 2021 The Authors. Clinical Pharmacology & Therapeutics published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics.

Références

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Auteurs

Robert Flynn (R)

Data Analytics and Methods Task Force, European Medicines Agency, Amsterdam, The Netherlands.
Medicines Monitoring Unit, University of Dundee, Dundee, UK.

Kelly Plueschke (K)

Data Analytics and Methods Task Force, European Medicines Agency, Amsterdam, The Netherlands.

Chantal Quinten (C)

Data Analytics and Methods Task Force, European Medicines Agency, Amsterdam, The Netherlands.

Valerie Strassmann (V)

Pharmacovigilance Office, Quality and Safety of Medicines, Human Medicines Division European Medicines Agency, Amsterdam, The Netherlands.

Ruben G Duijnhoven (RG)

Data Analytics and Methods Task Force, European Medicines Agency, Amsterdam, The Netherlands.
Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands.

Maria Gordillo-Marañon (M)

Data Analytics and Methods Task Force, European Medicines Agency, Amsterdam, The Netherlands.
Institute of Cardiovascular Science, Faculty of Population Health, University College London, London, UK.

Marcia Rueckbeil (M)

Data Analytics and Methods Task Force, European Medicines Agency, Amsterdam, The Netherlands.
Department of Medical Statistics, University Hospital Aachen, Aachen, Germany.

Catherine Cohet (C)

Data Analytics and Methods Task Force, European Medicines Agency, Amsterdam, The Netherlands.

Xavier Kurz (X)

Data Analytics and Methods Task Force, European Medicines Agency, Amsterdam, The Netherlands.

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Classifications MeSH