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Paediatric medicines development for Duchenne muscular dystrophy: An EU regulatory perspective
Sylvie Benchetrit1, Céline Chu1, Dimitrios Athanasiou2
1Department of Europe and Innovation, Agence nationale de sécurité du médicament et des produits de santé (ANSM), Saint-Denis, France.
None:
BackgroundDuchenne muscular dystrophy (DMD) is a severe muscle disease with an unmet therapeutic need. Despite ongoing research efforts, only a few medicines have achieved marketing authorisation in the EU to date. We present a regulatory science overview summarising the insights obtained from the evaluation by the Paediatric Committee (PDCO) of the European Medicines Agency (EMA) of paediatric investigation plans (PIPs) for this condition, with the primary objective of providing recommendations for future developments.MethodsWe reviewed the PIPs approved by the PDCO and related regulatory procedures analysimg the available information in our own databases completing it with a search in the EU Clinical Trials Register (EudraCT) and Clinical Trials Information System (CTIS) databases to provide context.ResultsBetween January 2005 and December 2024, 16 PIPs were agreed. By 2024, 1 PIP has been completed, the remaining ones are ongoing. So far, 3 medicines for the treatment of DMD have received a positive opinion by EMA's Committee for Medicinal Products for Human Use (CHMP). Main characteristics and critical factors contributing to successful developments are outlined.ConclusionsThis study presents the first in-depth evaluation of PIPs approved within the EU for DMD offering insights into potential strategic approaches for clinical development of investigational medicinal products. It highlights the accumulated experience of regulators and stakeholders, particularly regarding pivotal trials that establish clinical efficacy in key patient subgroups. Furthermore, it underscores the emerging value of innovative methodologies - such as extrapolation of efficacy and integration of real-world evidence - while acknowledging persistent challenges related to data quality.
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