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Legislative initiatives have been successful in increasing the availability of approved therapies for paediatric patients. However, additional measures to ensure the timely completion of paediatric studies are necessary to further increase the number of medicines available to children. Over the last 3 years, international experts convened to revise the ICH E11 guideline on clinical investigations of medicinal products in paediatric populations to harmonize approaches to paediatric extrapolation, striving to reduce substantial differences between regions in the acceptance of data for global paediatric medicine development programmes. Several areas of therapeutics development in children, such as human immunodeficiency virus and partial-onset seizures, have been streamlined and require fewer children enrolled in clinical trials because of the appropriate application of paediatric extrapolation. Based on this experience, it is clear that for paediatric extrapolation strategies to reach their full potential there is the need to understand the quality and quantity of data, often collected in adult patients, that will inform the appropriateness of the use of paediatric extrapolation, as well as to identify gaps in knowledge with respect to disease pathophysiology, organ maturation or drug target ontogeny. The generation of information that enhances our current understanding of these gaps in knowledge can further decrease the need for larger, paediatric clinical trials and can increase the efficiency of paediatric therapeutics development as well as protect children from participation in unnecessary studies. We hope that this publication will increase awareness, input and support from all the stakeholders involved in paediatric therapeutics development.
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http://dx.doi.org/10.1111/bcp.13809 | DOI Listing |
Target Oncol
September 2025
Department of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark.
Background: Population pharmacokinetic models can potentially provide suggestions for an initial dose and the magnitude of dose adjustment during therapeutic drug monitoring procedures of imatinib. Several population pharmacokinetic models for imatinib have been developed over the last two decades. However, their predictive performance is still unknown when extrapolated to different populations, especially children.
View Article and Find Full Text PDFJ Am Soc Nephrol
September 2025
Department of Pediatrics, University of Michigan, Ann Arbor, Michigan.
Int J Exp Pathol
September 2025
Department of Thoracic Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
With high morbidity and mortality internationally, oesophageal cancer is one of the most common diseases of the digestive system. The most frequent approaches to the treatment of oesophageal cancer are a combination of chemotherapy and radiation therapy. Inevitably, some individuals with oesophageal cancer fail to respond favourably to these treatments because of therapeutic resistance, with eventual unfavourable outcomes.
View Article and Find Full Text PDFPharmaceutics
August 2025
Clinical Pharmacology & Therapeutics Group, University College London, London WC1H 9JP, UK.
: GSK3β is an intracellular regulatory kinase that is dysregulated in multiple tissues in Type 1 myotonic dystrophy (DM-1). Tideglusib inhibits GSK3β activity in preclinical models of DM-1 and promotes cellular maturation, normalising aberrant molecular and behavioural phenotypes. It is currently in clinical development for the treatment of paediatric and adult patients affected by congenital and juvenile-onset DM-1.
View Article and Find Full Text PDFJ Am Podiatr Med Assoc
August 2025
‡Department of Exercise and Rehabilitation Sciences, University of Toledo, Toledo, OH.
Background: Many arch structure classification methods exist, but arch structure may be influenced by factors such as age and physical activity. It is unknown if previous arch structure classifications from adult populations are appropriate for adolescents. The purpose of our study was to compare arch structure classifications between adolescent-specific and previously published classification systems.
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