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Incorporating Pharmacometrics into Pharmacoeconomic Models: Applications from Drug Development
Pharmacometrics is the science of quantifying the relationship between the pharmacokinetics and pharmacodynamics of drugs in combination with disease models and trial information to aid in drug development and dosing optimization for clinical practice. Considering the variability in the dose–concent...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7578131/ https://www.ncbi.nlm.nih.gov/pubmed/32734572 http://dx.doi.org/10.1007/s40273-020-00944-0 |
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author | Srinivasan, Meenakshi White, Annesha Chaturvedula, Ayyappa Vozmediano, Valvanera Schmidt, Stephan Plouffe, Leo Wingate, La’Marcus T. |
author_facet | Srinivasan, Meenakshi White, Annesha Chaturvedula, Ayyappa Vozmediano, Valvanera Schmidt, Stephan Plouffe, Leo Wingate, La’Marcus T. |
author_sort | Srinivasan, Meenakshi |
collection | PubMed |
description | Pharmacometrics is the science of quantifying the relationship between the pharmacokinetics and pharmacodynamics of drugs in combination with disease models and trial information to aid in drug development and dosing optimization for clinical practice. Considering the variability in the dose–concentration–effect relationship of drugs, an opportunity exists in linking pharmacokinetic and pharmacodynamic model-based estimates with pharmacoeconomic models. This link may provide early estimates of the cost effectiveness of drug therapies, thus informing late-stage drug development, pricing, and reimbursement decisions. Published case studies have demonstrated how integrated pharmacokinetic–pharmacodynamic–pharmacoeconomic models can complement traditional pharmacoeconomic analyses by identifying the impact of specific patient sub-groups, dose, dosing schedules, and adherence on the cost effectiveness of drugs, thus providing a mechanistic basis to predict the economic value of new drugs. Greater collaboration between the pharmacoeconomics and pharmacometrics community can enable methodological improvements in pharmacokinetic–pharmacodynamic–pharmacoeconomic models to support drug development. |
format | Online Article Text |
id | pubmed-7578131 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-75781312020-10-27 Incorporating Pharmacometrics into Pharmacoeconomic Models: Applications from Drug Development Srinivasan, Meenakshi White, Annesha Chaturvedula, Ayyappa Vozmediano, Valvanera Schmidt, Stephan Plouffe, Leo Wingate, La’Marcus T. Pharmacoeconomics Leading Article Pharmacometrics is the science of quantifying the relationship between the pharmacokinetics and pharmacodynamics of drugs in combination with disease models and trial information to aid in drug development and dosing optimization for clinical practice. Considering the variability in the dose–concentration–effect relationship of drugs, an opportunity exists in linking pharmacokinetic and pharmacodynamic model-based estimates with pharmacoeconomic models. This link may provide early estimates of the cost effectiveness of drug therapies, thus informing late-stage drug development, pricing, and reimbursement decisions. Published case studies have demonstrated how integrated pharmacokinetic–pharmacodynamic–pharmacoeconomic models can complement traditional pharmacoeconomic analyses by identifying the impact of specific patient sub-groups, dose, dosing schedules, and adherence on the cost effectiveness of drugs, thus providing a mechanistic basis to predict the economic value of new drugs. Greater collaboration between the pharmacoeconomics and pharmacometrics community can enable methodological improvements in pharmacokinetic–pharmacodynamic–pharmacoeconomic models to support drug development. Springer International Publishing 2020-07-31 2020 /pmc/articles/PMC7578131/ /pubmed/32734572 http://dx.doi.org/10.1007/s40273-020-00944-0 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Leading Article Srinivasan, Meenakshi White, Annesha Chaturvedula, Ayyappa Vozmediano, Valvanera Schmidt, Stephan Plouffe, Leo Wingate, La’Marcus T. Incorporating Pharmacometrics into Pharmacoeconomic Models: Applications from Drug Development |
title | Incorporating Pharmacometrics into Pharmacoeconomic Models: Applications from Drug Development |
title_full | Incorporating Pharmacometrics into Pharmacoeconomic Models: Applications from Drug Development |
title_fullStr | Incorporating Pharmacometrics into Pharmacoeconomic Models: Applications from Drug Development |
title_full_unstemmed | Incorporating Pharmacometrics into Pharmacoeconomic Models: Applications from Drug Development |
title_short | Incorporating Pharmacometrics into Pharmacoeconomic Models: Applications from Drug Development |
title_sort | incorporating pharmacometrics into pharmacoeconomic models: applications from drug development |
topic | Leading Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7578131/ https://www.ncbi.nlm.nih.gov/pubmed/32734572 http://dx.doi.org/10.1007/s40273-020-00944-0 |
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