Cognitive endpoints for therapy development for neuronopathic mucopolysaccharidoses: Results of a consensus procedure
Year: 2017
Type: article
Abstract: The design and conduct of clinical studies to evaluate the effects of novel therapies on central nervous system manifestations in children with neuronopathic mucopolysaccharidoses is challenging. Owing to the rarity of these disorders, multinational studies are often needed to recruit enough patients to provide meaningful data and statistical power. This can make the consistent collection of reliable data across study sites difficult. To address these challenges, an International MPS Consensus Conference for Cognitive Endpoints was convened to discuss approaches for evaluating cognitive and adaptive function in patients with mucopolysaccharidoses. The goal was to develop a consensus on best practice for the design and conduct of clinical studies investigating novel therapies for these conditions, with particular focus on the most appropriate outcome measures for cognitive function and adaptive behavior. The outcomes from the consensus panel discussion are reported here.
Authors: Johanna H. van der Lee, Jonathan Morton, Heather R. Adams, Lorne Clarke, Berendine Johanne Ebbink, Maria L. Escolar, Roberto Giugliani, Paul Harmatz, Melissa Hogan, Simon Jones, Shauna Kearney, Joseph Muenzer, Stewart Rust, Margaret Semrud-Clikeman, Frits A. Wijburg, Zi-fan Yu, Darren Janzen, Elsa Shapiro
Institutions: Amsterdam UMC Location University of Amsterdam, Emma Kinderziekenhuis, University of Rochester Medicine, University of Rochester, University of British Columbia, BC Children's Hospital Research Institute, Erasmus MC, University of Pittsburgh, Universidade Federal do Rio Grande do Sul, Hospital de Clínicas de Porto Alegre, UCSF Benioff Children's Hospital, St Mary's Hospital, Birmingham Children's Hospital, University of North Carolina at Chapel Hill, Royal Manchester Children's Hospital, University of Minnesota, Statistics Collaborative, Oregon Health & Science University
Language: English
Subfield: Physiology
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,680
OpenAlex ID: W2610463565
