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General Principles for the Validation of Proarrhythmia Risk Prediction Models: An Extension of the CiPA In Silico Strategy
This white paper presents principles for validating proarrhythmia risk prediction models for regulatory use as discussed at the In Silico Breakout Session of a Cardiac Safety Research Consortium/Health and Environmental Sciences Institute/US Food and Drug Administration–sponsored Think Tank Meeting...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6977398/ https://www.ncbi.nlm.nih.gov/pubmed/31709525 http://dx.doi.org/10.1002/cpt.1647 |
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author | Li, Zhihua Mirams, Gary R. Yoshinaga, Takashi Ridder, Bradley J. Han, Xiaomei Chen, Janell E. Stockbridge, Norman L. Wisialowski, Todd A. Damiano, Bruce Severi, Stefano Morissette, Pierre Kowey, Peter R. Holbrook, Mark Smith, Godfrey Rasmusson, Randall L. Liu, Michael Song, Zhen Qu, Zhilin Leishman, Derek J. Steidl‐Nichols, Jill Rodriguez, Blanca Bueno‐Orovio, Alfonso Zhou, Xin Passini, Elisa Edwards, Andrew G. Morotti, Stefano Ni, Haibo Grandi, Eleonora Clancy, Colleen E. Vandenberg, Jamie Hill, Adam Nakamura, Mikiko Singer, Thomas Polonchuk, Liudmila Greiter‐Wilke, Andrea Wang, Ken Nave, Stephane Fullerton, Aaron Sobie, Eric A. Paci, Michelangelo Musuamba Tshinanu, Flora Strauss, David G. |
author_facet | Li, Zhihua Mirams, Gary R. Yoshinaga, Takashi Ridder, Bradley J. Han, Xiaomei Chen, Janell E. Stockbridge, Norman L. Wisialowski, Todd A. Damiano, Bruce Severi, Stefano Morissette, Pierre Kowey, Peter R. Holbrook, Mark Smith, Godfrey Rasmusson, Randall L. Liu, Michael Song, Zhen Qu, Zhilin Leishman, Derek J. Steidl‐Nichols, Jill Rodriguez, Blanca Bueno‐Orovio, Alfonso Zhou, Xin Passini, Elisa Edwards, Andrew G. Morotti, Stefano Ni, Haibo Grandi, Eleonora Clancy, Colleen E. Vandenberg, Jamie Hill, Adam Nakamura, Mikiko Singer, Thomas Polonchuk, Liudmila Greiter‐Wilke, Andrea Wang, Ken Nave, Stephane Fullerton, Aaron Sobie, Eric A. Paci, Michelangelo Musuamba Tshinanu, Flora Strauss, David G. |
author_sort | Li, Zhihua |
collection | PubMed |
description | This white paper presents principles for validating proarrhythmia risk prediction models for regulatory use as discussed at the In Silico Breakout Session of a Cardiac Safety Research Consortium/Health and Environmental Sciences Institute/US Food and Drug Administration–sponsored Think Tank Meeting on May 22, 2018. The meeting was convened to evaluate the progress in the development of a new cardiac safety paradigm, the Comprehensive in Vitro Proarrhythmia Assay (CiPA). The opinions regarding these principles reflect the collective views of those who participated in the discussion of this topic both at and after the breakout session. Although primarily discussed in the context of in silico models, these principles describe the interface between experimental input and model‐based interpretation and are intended to be general enough to be applied to other types of nonclinical models for proarrhythmia assessment. This document was developed with the intention of providing a foundation for more consistency and harmonization in developing and validating different models for proarrhythmia risk prediction using the example of the CiPA paradigm. |
format | Online Article Text |
id | pubmed-6977398 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-69773982020-01-28 General Principles for the Validation of Proarrhythmia Risk Prediction Models: An Extension of the CiPA In Silico Strategy Li, Zhihua Mirams, Gary R. Yoshinaga, Takashi Ridder, Bradley J. Han, Xiaomei Chen, Janell E. Stockbridge, Norman L. Wisialowski, Todd A. Damiano, Bruce Severi, Stefano Morissette, Pierre Kowey, Peter R. Holbrook, Mark Smith, Godfrey Rasmusson, Randall L. Liu, Michael Song, Zhen Qu, Zhilin Leishman, Derek J. Steidl‐Nichols, Jill Rodriguez, Blanca Bueno‐Orovio, Alfonso Zhou, Xin Passini, Elisa Edwards, Andrew G. Morotti, Stefano Ni, Haibo Grandi, Eleonora Clancy, Colleen E. Vandenberg, Jamie Hill, Adam Nakamura, Mikiko Singer, Thomas Polonchuk, Liudmila Greiter‐Wilke, Andrea Wang, Ken Nave, Stephane Fullerton, Aaron Sobie, Eric A. Paci, Michelangelo Musuamba Tshinanu, Flora Strauss, David G. Clin Pharmacol Ther White Paper This white paper presents principles for validating proarrhythmia risk prediction models for regulatory use as discussed at the In Silico Breakout Session of a Cardiac Safety Research Consortium/Health and Environmental Sciences Institute/US Food and Drug Administration–sponsored Think Tank Meeting on May 22, 2018. The meeting was convened to evaluate the progress in the development of a new cardiac safety paradigm, the Comprehensive in Vitro Proarrhythmia Assay (CiPA). The opinions regarding these principles reflect the collective views of those who participated in the discussion of this topic both at and after the breakout session. Although primarily discussed in the context of in silico models, these principles describe the interface between experimental input and model‐based interpretation and are intended to be general enough to be applied to other types of nonclinical models for proarrhythmia assessment. This document was developed with the intention of providing a foundation for more consistency and harmonization in developing and validating different models for proarrhythmia risk prediction using the example of the CiPA paradigm. John Wiley and Sons Inc. 2019-11-10 2020-01 /pmc/articles/PMC6977398/ /pubmed/31709525 http://dx.doi.org/10.1002/cpt.1647 Text en © 2019 The Authors Clinical Pharmacology & Therapeutics published by Wiley Periodicals, Inc. on behalf of American Society for Clinical Pharmacology and Therapeutics. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | White Paper Li, Zhihua Mirams, Gary R. Yoshinaga, Takashi Ridder, Bradley J. Han, Xiaomei Chen, Janell E. Stockbridge, Norman L. Wisialowski, Todd A. Damiano, Bruce Severi, Stefano Morissette, Pierre Kowey, Peter R. Holbrook, Mark Smith, Godfrey Rasmusson, Randall L. Liu, Michael Song, Zhen Qu, Zhilin Leishman, Derek J. Steidl‐Nichols, Jill Rodriguez, Blanca Bueno‐Orovio, Alfonso Zhou, Xin Passini, Elisa Edwards, Andrew G. Morotti, Stefano Ni, Haibo Grandi, Eleonora Clancy, Colleen E. Vandenberg, Jamie Hill, Adam Nakamura, Mikiko Singer, Thomas Polonchuk, Liudmila Greiter‐Wilke, Andrea Wang, Ken Nave, Stephane Fullerton, Aaron Sobie, Eric A. Paci, Michelangelo Musuamba Tshinanu, Flora Strauss, David G. General Principles for the Validation of Proarrhythmia Risk Prediction Models: An Extension of the CiPA In Silico Strategy |
title | General Principles for the Validation of Proarrhythmia Risk Prediction Models: An Extension of the CiPA In Silico Strategy |
title_full | General Principles for the Validation of Proarrhythmia Risk Prediction Models: An Extension of the CiPA In Silico Strategy |
title_fullStr | General Principles for the Validation of Proarrhythmia Risk Prediction Models: An Extension of the CiPA In Silico Strategy |
title_full_unstemmed | General Principles for the Validation of Proarrhythmia Risk Prediction Models: An Extension of the CiPA In Silico Strategy |
title_short | General Principles for the Validation of Proarrhythmia Risk Prediction Models: An Extension of the CiPA In Silico Strategy |
title_sort | general principles for the validation of proarrhythmia risk prediction models: an extension of the cipa in silico strategy |
topic | White Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6977398/ https://www.ncbi.nlm.nih.gov/pubmed/31709525 http://dx.doi.org/10.1002/cpt.1647 |
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