Challenges and Opportunities in the Development of Medical Therapies for Pediatric Populations and the Role of Extrapolation
Abstract
Extrapolation can be used to address challenges in pediatric drug development. This review describes how these challenges could be addressed by further evolution of quantitative frameworks (i.e., model‐based/informed drug discovery and development) and regulatory science in support of pediatric drug development. Included are examples of diseases/indications where extrapolation has been used in different ways as a basis for identifying gaps in the framework and opportunities for continued advancement of pediatric drug development.
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Much progress has been made in extrapolating from adult or adolescent data to pediatric populations, which is currently done outside of QSP, usually via pharmacometric and PBPK approaches.
“Much progress has been made in terms of extrapolation from adult or adolescent data to pediatric populations (which currently is done outside of QSP, usually via pharmacometric and PBPK approaches).87”
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- Authors
- Barrett, J. S., Bishai, R., Bucci‐Rechtweg, C., Cheung, A., Corriol‐Rohou, S., Haertter, S., James, A., Kovacs, S. J., Liu, J., Potempa, D., Strougo, A., Vanevski, K., & for the IQ consortium – CPLG Pediatric Working Group
- Affiliations
- Sanofi (United States) (US)
- AstraZeneca (United States) (US)
- Global Health Policy, Regulatory Affairs, Novartis Pharmaceuticals Corporation East Hanover New Jersey USA
- AstraZeneca (United Kingdom) (GB)
- AstraZeneca (France) (FR)
- Boehringer Ingelheim (United States) (US)
- Astellas Pharma (United States) (US)
- Translational Medicine, Novartis Institutes for BioMedical Research East Hanover New Jersey USA
- Pfizer (United States) (US)
- Sanofi (Germany) (DE)
- Bayer (Switzerland) (CH)
- Corresponding author
- Strougo, Ashley
- Venue
- Clinical Pharmacology & Therapeutics
- Publisher
- Wiley
- Published
- 2018-01-31
- Volume
- 103
- Issue
- 3
- Pages
- 419-433
- ISSN
- 0009-9236 (ISSN-L)
- 1532-6535
- OpenAlex
- W2776991526
- Cited by
- 38
- References
- 57
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 8 · 2023: 1 · 2022: 1 · 2021: 4 · 2020: 13 · 2019: 6 · 2018: 3
- FWCI
- 1.13
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Clinical Pharmacology & Therapeutics (publishedVersion)
- PubMed (publishedVersion)
- Funders
- European Federation of Pharmaceutical Industries and Associations
- National Institutes of Health
- Topics
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Pharmaceutical studies and practices
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Pharmaceutical Economics and Policy
- Keywords
- pediatric drug development, extrapolation, regulatory science, model-based drug development, quantitative framework, pediatric therapeutics, drug discovery, regulatory approval
- MeSH terms
- Adolescent, Age Factors, Child, Child, Preschool, Drug Therapy, Humans, Infant, Infant, Newborn, Pediatrics, Pharmacology, Clinical, Drug Discovery
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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