General Principles for the Validation of Proarrhythmia Risk Prediction Models: An Extension of the CiPA In Silico Strategy. Issue 1 (10th November 2019)
- Record Type:
- Journal Article
- Title:
- General Principles for the Validation of Proarrhythmia Risk Prediction Models: An Extension of the CiPA In Silico Strategy. Issue 1 (10th November 2019)
- Main Title:
- General Principles for the Validation of Proarrhythmia Risk Prediction Models: An Extension of the CiPA In Silico Strategy
- Authors:
- 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.
… (more) - Abstract:
- Abstract : 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.
- Is Part Of:
- Clinical pharmacology & therapeutics. Volume 107:Issue 1(2020)
- Journal:
- Clinical pharmacology & therapeutics
- Issue:
- Volume 107:Issue 1(2020)
- Issue Display:
- Volume 107, Issue 1 (2020)
- Year:
- 2020
- Volume:
- 107
- Issue:
- 1
- Issue Sort Value:
- 2020-0107-0001-0000
- Page Start:
- 102
- Page End:
- 111
- Publication Date:
- 2019-11-10
- Subjects:
- Pharmacology -- Periodicals
Therapeutics -- Periodicals
615.5 - Journal URLs:
- http://www.nature.com/clpt/index.html ↗
http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1532-6535 ↗
http://www.nature.com/ ↗
http://firstsearch.oclc.org ↗
http://www.mosby.com/cpt ↗
http://www.sciencedirect.com/science/journal/00099236 ↗
http://www2.us.elsevierhealth.com/scripts/om.dll/serve?action=searchDB&searchdbfor=home&id=cp ↗ - DOI:
- 10.1002/cpt.1647 ↗
- Languages:
- English
- ISSNs:
- 0009-9236
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3286.330000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 12560.xml