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Regulatory and health technology assessment advice on postlicensing and postlaunch evidence generation is a foundation for lifecycle data collection for medicines
The understanding of the benefit risk profile, and relative effectiveness of a new medicinal product, are initially established in a circumscribed patient population through clinical trials. There may be uncertainties associated with the new medicinal product that cannot be, or do not need to be res...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7256124/ https://www.ncbi.nlm.nih.gov/pubmed/32162368 http://dx.doi.org/10.1111/bcp.14279 |
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author | Moseley, Jane Vamvakas, Spiros Berntgen, Michael Cave, Alison Kurz, Xavier Arlett, Peter Acha, Virginia Bennett, Simon Cohet, Catherine Corriol‐Rohou, Solange Du Four, Emma Lamoril, Christelle Langeneckert, Anja Koban, Maren Pasté, Muriel Sandler, Susan Van Baelen, Karin Cangini, Agnese García, Sonia Obach, Mercè Gimenez Garcia, Emmanuel Varela Lema, Leonor Jauhonen, Hanna‐Mari Rannanheimo, Piia Morrison, Deborah Van De Casteele, Marc Strömgren, Anna Viberg, Anders Makady, Amr Guilhaume, Chantal |
author_facet | Moseley, Jane Vamvakas, Spiros Berntgen, Michael Cave, Alison Kurz, Xavier Arlett, Peter Acha, Virginia Bennett, Simon Cohet, Catherine Corriol‐Rohou, Solange Du Four, Emma Lamoril, Christelle Langeneckert, Anja Koban, Maren Pasté, Muriel Sandler, Susan Van Baelen, Karin Cangini, Agnese García, Sonia Obach, Mercè Gimenez Garcia, Emmanuel Varela Lema, Leonor Jauhonen, Hanna‐Mari Rannanheimo, Piia Morrison, Deborah Van De Casteele, Marc Strömgren, Anna Viberg, Anders Makady, Amr Guilhaume, Chantal |
author_sort | Moseley, Jane |
collection | PubMed |
description | The understanding of the benefit risk profile, and relative effectiveness of a new medicinal product, are initially established in a circumscribed patient population through clinical trials. There may be uncertainties associated with the new medicinal product that cannot be, or do not need to be resolved before launch. Postlicensing or postlaunch evidence generation (PLEG) is a term for evidence generated after the licensure or launch of a medicinal product to address these remaining uncertainties. PLEG is thus part of the continuum of evidence development for a medicinal product, complementing earlier evidence, facilitating further elucidation of a product's benefit/risk profile, value proposition, and/or exploring broader aspects of disease management and provision of healthcare. PLEG plays a role in regulatory decision making, not only in the European Union but also in other jurisdictions including the USA and Japan. PLEG is also relevant for downstream decision‐making by health technology assessment bodies and payers. PLEG comprises studies of different designs, based on data collected in observational or experimental settings. Experience to date in the European Union has indicated a need for improvements in PLEG. Improvements in design and research efficiency of PLEG could be addressed through more systematic pursuance of Scientific Advice on PLEG with single or multiple decision makers. To date, limited information has been available on the rationale, process or timing for seeking PLEG advice from regulators or health technology assessment bodies. This article sets out to address these issues and to encourage further uptake of PLEG advice. |
format | Online Article Text |
id | pubmed-7256124 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-72561242020-06-01 Regulatory and health technology assessment advice on postlicensing and postlaunch evidence generation is a foundation for lifecycle data collection for medicines Moseley, Jane Vamvakas, Spiros Berntgen, Michael Cave, Alison Kurz, Xavier Arlett, Peter Acha, Virginia Bennett, Simon Cohet, Catherine Corriol‐Rohou, Solange Du Four, Emma Lamoril, Christelle Langeneckert, Anja Koban, Maren Pasté, Muriel Sandler, Susan Van Baelen, Karin Cangini, Agnese García, Sonia Obach, Mercè Gimenez Garcia, Emmanuel Varela Lema, Leonor Jauhonen, Hanna‐Mari Rannanheimo, Piia Morrison, Deborah Van De Casteele, Marc Strömgren, Anna Viberg, Anders Makady, Amr Guilhaume, Chantal Br J Clin Pharmacol Review The understanding of the benefit risk profile, and relative effectiveness of a new medicinal product, are initially established in a circumscribed patient population through clinical trials. There may be uncertainties associated with the new medicinal product that cannot be, or do not need to be resolved before launch. Postlicensing or postlaunch evidence generation (PLEG) is a term for evidence generated after the licensure or launch of a medicinal product to address these remaining uncertainties. PLEG is thus part of the continuum of evidence development for a medicinal product, complementing earlier evidence, facilitating further elucidation of a product's benefit/risk profile, value proposition, and/or exploring broader aspects of disease management and provision of healthcare. PLEG plays a role in regulatory decision making, not only in the European Union but also in other jurisdictions including the USA and Japan. PLEG is also relevant for downstream decision‐making by health technology assessment bodies and payers. PLEG comprises studies of different designs, based on data collected in observational or experimental settings. Experience to date in the European Union has indicated a need for improvements in PLEG. Improvements in design and research efficiency of PLEG could be addressed through more systematic pursuance of Scientific Advice on PLEG with single or multiple decision makers. To date, limited information has been available on the rationale, process or timing for seeking PLEG advice from regulators or health technology assessment bodies. This article sets out to address these issues and to encourage further uptake of PLEG advice. John Wiley and Sons Inc. 2020-04-24 2020-06 /pmc/articles/PMC7256124/ /pubmed/32162368 http://dx.doi.org/10.1111/bcp.14279 Text en © 2020 The Authors. British Journal of Clinical Pharmacology published by John Wiley & Sons Ltd on behalf of British Pharmacological Society This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Review Moseley, Jane Vamvakas, Spiros Berntgen, Michael Cave, Alison Kurz, Xavier Arlett, Peter Acha, Virginia Bennett, Simon Cohet, Catherine Corriol‐Rohou, Solange Du Four, Emma Lamoril, Christelle Langeneckert, Anja Koban, Maren Pasté, Muriel Sandler, Susan Van Baelen, Karin Cangini, Agnese García, Sonia Obach, Mercè Gimenez Garcia, Emmanuel Varela Lema, Leonor Jauhonen, Hanna‐Mari Rannanheimo, Piia Morrison, Deborah Van De Casteele, Marc Strömgren, Anna Viberg, Anders Makady, Amr Guilhaume, Chantal Regulatory and health technology assessment advice on postlicensing and postlaunch evidence generation is a foundation for lifecycle data collection for medicines |
title | Regulatory and health technology assessment advice on postlicensing and postlaunch evidence generation is a foundation for lifecycle data collection for medicines |
title_full | Regulatory and health technology assessment advice on postlicensing and postlaunch evidence generation is a foundation for lifecycle data collection for medicines |
title_fullStr | Regulatory and health technology assessment advice on postlicensing and postlaunch evidence generation is a foundation for lifecycle data collection for medicines |
title_full_unstemmed | Regulatory and health technology assessment advice on postlicensing and postlaunch evidence generation is a foundation for lifecycle data collection for medicines |
title_short | Regulatory and health technology assessment advice on postlicensing and postlaunch evidence generation is a foundation for lifecycle data collection for medicines |
title_sort | regulatory and health technology assessment advice on postlicensing and postlaunch evidence generation is a foundation for lifecycle data collection for medicines |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7256124/ https://www.ncbi.nlm.nih.gov/pubmed/32162368 http://dx.doi.org/10.1111/bcp.14279 |
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