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Innovative trial designs and analyses for vaccine clinical development

In the past decades, the world has experienced several major virus outbreaks, e.g. West African Ebola outbreak, Zika virus in South America and most recently global coronavirus (COVID-19) pandemic. Many vaccines have been developed to prevent a variety of infectious diseases successfully. However, s...

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Autores principales: Liu, Mengya, Li, Qing, Lin, Jianchang, Lin, Yunzhi, Hoffman, Elaine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Published by Elsevier Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7834363/
https://www.ncbi.nlm.nih.gov/pubmed/33227451
http://dx.doi.org/10.1016/j.cct.2020.106225
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author Liu, Mengya
Li, Qing
Lin, Jianchang
Lin, Yunzhi
Hoffman, Elaine
author_facet Liu, Mengya
Li, Qing
Lin, Jianchang
Lin, Yunzhi
Hoffman, Elaine
author_sort Liu, Mengya
collection PubMed
description In the past decades, the world has experienced several major virus outbreaks, e.g. West African Ebola outbreak, Zika virus in South America and most recently global coronavirus (COVID-19) pandemic. Many vaccines have been developed to prevent a variety of infectious diseases successfully. However, several infections have not been preventable so far, like COVID-19, which induces an immediate urgent need for effective vaccines. These emerging infectious diseases often pose unprecedent challenges for the global heath community as well as the conventional vaccine development paradigm. With a long and costly traditional vaccine development process, there are extensive needs in innovative vaccine trial designs and analyses, which aim to design more efficient vaccines trials. Featured with reduced development timeline, less resource consuming or improved estimate for the endpoints of interests, these more efficient trials bring effective medicine to target population in a faster and less costly way. In this paper, we will review a few vaccine trials equipped with adaptive design features, Bayesian designs that accommodate historical data borrowing, the master protocol strategy emerging during COVID-19 vaccine development, Real-World-Data (RWD) embedded trials and the correlate of protection framework and relevant research works. We will also discuss some statistical methodologies that improve the vaccine efficacy, safety and immunogenicity analyses. Innovative clinical trial designs and analyses, together with advanced research technologies and deeper understanding of the human immune system, are paving the way for the efficient development of new vaccines in the future.
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spelling pubmed-78343632021-01-26 Innovative trial designs and analyses for vaccine clinical development Liu, Mengya Li, Qing Lin, Jianchang Lin, Yunzhi Hoffman, Elaine Contemp Clin Trials Article In the past decades, the world has experienced several major virus outbreaks, e.g. West African Ebola outbreak, Zika virus in South America and most recently global coronavirus (COVID-19) pandemic. Many vaccines have been developed to prevent a variety of infectious diseases successfully. However, several infections have not been preventable so far, like COVID-19, which induces an immediate urgent need for effective vaccines. These emerging infectious diseases often pose unprecedent challenges for the global heath community as well as the conventional vaccine development paradigm. With a long and costly traditional vaccine development process, there are extensive needs in innovative vaccine trial designs and analyses, which aim to design more efficient vaccines trials. Featured with reduced development timeline, less resource consuming or improved estimate for the endpoints of interests, these more efficient trials bring effective medicine to target population in a faster and less costly way. In this paper, we will review a few vaccine trials equipped with adaptive design features, Bayesian designs that accommodate historical data borrowing, the master protocol strategy emerging during COVID-19 vaccine development, Real-World-Data (RWD) embedded trials and the correlate of protection framework and relevant research works. We will also discuss some statistical methodologies that improve the vaccine efficacy, safety and immunogenicity analyses. Innovative clinical trial designs and analyses, together with advanced research technologies and deeper understanding of the human immune system, are paving the way for the efficient development of new vaccines in the future. Published by Elsevier Inc. 2021-01 2020-11-21 /pmc/articles/PMC7834363/ /pubmed/33227451 http://dx.doi.org/10.1016/j.cct.2020.106225 Text en © 2020 Published by Elsevier Inc. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Liu, Mengya
Li, Qing
Lin, Jianchang
Lin, Yunzhi
Hoffman, Elaine
Innovative trial designs and analyses for vaccine clinical development
title Innovative trial designs and analyses for vaccine clinical development
title_full Innovative trial designs and analyses for vaccine clinical development
title_fullStr Innovative trial designs and analyses for vaccine clinical development
title_full_unstemmed Innovative trial designs and analyses for vaccine clinical development
title_short Innovative trial designs and analyses for vaccine clinical development
title_sort innovative trial designs and analyses for vaccine clinical development
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7834363/
https://www.ncbi.nlm.nih.gov/pubmed/33227451
http://dx.doi.org/10.1016/j.cct.2020.106225
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