Cargando…

Clinical trials in a COVID-19 pandemic: Shared infrastructure for continuous learning in a rapidly changing landscape

BACKGROUND: Clinical trials, conducted efficiently and with the utmost integrity, are a key component in identifying effective vaccines, therapies, and other interventions urgently needed to solve the COVID-19 crisis. Yet launching and implementing trials with the rigor necessary to produce convinci...

Descripción completa

Detalles Bibliográficos
Autores principales: Hedlin, Haley, Garcia, Ariadna, Weng, Yingjie, He, Ziyuan, Sundaram, Vandana, Bunning, Bryan, Balasubramanian, Vidhya, Cunanan, Kristen, Kapphahn, Kristopher, Gummidipundi, Santosh, Purington, Natasha, Boulos, Mary, Desai, Manisha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8172421/
https://www.ncbi.nlm.nih.gov/pubmed/33535821
http://dx.doi.org/10.1177/1740774520988298
_version_ 1783702537661054976
author Hedlin, Haley
Garcia, Ariadna
Weng, Yingjie
He, Ziyuan
Sundaram, Vandana
Bunning, Bryan
Balasubramanian, Vidhya
Cunanan, Kristen
Kapphahn, Kristopher
Gummidipundi, Santosh
Purington, Natasha
Boulos, Mary
Desai, Manisha
author_facet Hedlin, Haley
Garcia, Ariadna
Weng, Yingjie
He, Ziyuan
Sundaram, Vandana
Bunning, Bryan
Balasubramanian, Vidhya
Cunanan, Kristen
Kapphahn, Kristopher
Gummidipundi, Santosh
Purington, Natasha
Boulos, Mary
Desai, Manisha
author_sort Hedlin, Haley
collection PubMed
description BACKGROUND: Clinical trials, conducted efficiently and with the utmost integrity, are a key component in identifying effective vaccines, therapies, and other interventions urgently needed to solve the COVID-19 crisis. Yet launching and implementing trials with the rigor necessary to produce convincing results is a complicated and time-consuming process. Balancing rigor and efficiency involves relying on designs that employ flexible features to respond to a fast-changing landscape, measuring valid endpoints that result in translational actions and disseminating findings in a timely manner. We describe the challenges involved in creating infrastructure with potential utility for shared learning. METHODS: We have established a shared infrastructure that borrows strength across multiple trials. The infrastructure includes an endpoint registry to aid in selecting appropriate endpoints, a registry to facilitate establishing a Data & Safety Monitoring Board, common data collection instruments, a COVID-19 dedicated design and analysis team, and a pragmatic platform protocol, among other elements. RESULTS: The authors have relied on the shared infrastructure for six clinical trials for which they serve as the Data Coordinating Center and have a design and analysis team comprising 15 members who are dedicated to COVID-19. The authors established a pragmatic platform to simultaneously investigate multiple treatments for the outpatient with adaptive features to add or drop treatment arms. CONCLUSION: The shared infrastructure provides appealing opportunities to evaluate disease in a more robust manner with fewer resources and is especially valued during a pandemic where efficiency in time and resources is crucial. The most important element of the shared infrastructure is the pragmatic platform. While it may be the most challenging of the elements to establish, it may provide the greatest benefit to both patients and researchers.
format Online
Article
Text
id pubmed-8172421
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher SAGE Publications
record_format MEDLINE/PubMed
spelling pubmed-81724212021-06-03 Clinical trials in a COVID-19 pandemic: Shared infrastructure for continuous learning in a rapidly changing landscape Hedlin, Haley Garcia, Ariadna Weng, Yingjie He, Ziyuan Sundaram, Vandana Bunning, Bryan Balasubramanian, Vidhya Cunanan, Kristen Kapphahn, Kristopher Gummidipundi, Santosh Purington, Natasha Boulos, Mary Desai, Manisha Clin Trials Articles BACKGROUND: Clinical trials, conducted efficiently and with the utmost integrity, are a key component in identifying effective vaccines, therapies, and other interventions urgently needed to solve the COVID-19 crisis. Yet launching and implementing trials with the rigor necessary to produce convincing results is a complicated and time-consuming process. Balancing rigor and efficiency involves relying on designs that employ flexible features to respond to a fast-changing landscape, measuring valid endpoints that result in translational actions and disseminating findings in a timely manner. We describe the challenges involved in creating infrastructure with potential utility for shared learning. METHODS: We have established a shared infrastructure that borrows strength across multiple trials. The infrastructure includes an endpoint registry to aid in selecting appropriate endpoints, a registry to facilitate establishing a Data & Safety Monitoring Board, common data collection instruments, a COVID-19 dedicated design and analysis team, and a pragmatic platform protocol, among other elements. RESULTS: The authors have relied on the shared infrastructure for six clinical trials for which they serve as the Data Coordinating Center and have a design and analysis team comprising 15 members who are dedicated to COVID-19. The authors established a pragmatic platform to simultaneously investigate multiple treatments for the outpatient with adaptive features to add or drop treatment arms. CONCLUSION: The shared infrastructure provides appealing opportunities to evaluate disease in a more robust manner with fewer resources and is especially valued during a pandemic where efficiency in time and resources is crucial. The most important element of the shared infrastructure is the pragmatic platform. While it may be the most challenging of the elements to establish, it may provide the greatest benefit to both patients and researchers. SAGE Publications 2021-02-03 2021-06 /pmc/articles/PMC8172421/ /pubmed/33535821 http://dx.doi.org/10.1177/1740774520988298 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Articles
Hedlin, Haley
Garcia, Ariadna
Weng, Yingjie
He, Ziyuan
Sundaram, Vandana
Bunning, Bryan
Balasubramanian, Vidhya
Cunanan, Kristen
Kapphahn, Kristopher
Gummidipundi, Santosh
Purington, Natasha
Boulos, Mary
Desai, Manisha
Clinical trials in a COVID-19 pandemic: Shared infrastructure for continuous learning in a rapidly changing landscape
title Clinical trials in a COVID-19 pandemic: Shared infrastructure for continuous learning in a rapidly changing landscape
title_full Clinical trials in a COVID-19 pandemic: Shared infrastructure for continuous learning in a rapidly changing landscape
title_fullStr Clinical trials in a COVID-19 pandemic: Shared infrastructure for continuous learning in a rapidly changing landscape
title_full_unstemmed Clinical trials in a COVID-19 pandemic: Shared infrastructure for continuous learning in a rapidly changing landscape
title_short Clinical trials in a COVID-19 pandemic: Shared infrastructure for continuous learning in a rapidly changing landscape
title_sort clinical trials in a covid-19 pandemic: shared infrastructure for continuous learning in a rapidly changing landscape
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8172421/
https://www.ncbi.nlm.nih.gov/pubmed/33535821
http://dx.doi.org/10.1177/1740774520988298
work_keys_str_mv AT hedlinhaley clinicaltrialsinacovid19pandemicsharedinfrastructureforcontinuouslearninginarapidlychanginglandscape
AT garciaariadna clinicaltrialsinacovid19pandemicsharedinfrastructureforcontinuouslearninginarapidlychanginglandscape
AT wengyingjie clinicaltrialsinacovid19pandemicsharedinfrastructureforcontinuouslearninginarapidlychanginglandscape
AT heziyuan clinicaltrialsinacovid19pandemicsharedinfrastructureforcontinuouslearninginarapidlychanginglandscape
AT sundaramvandana clinicaltrialsinacovid19pandemicsharedinfrastructureforcontinuouslearninginarapidlychanginglandscape
AT bunningbryan clinicaltrialsinacovid19pandemicsharedinfrastructureforcontinuouslearninginarapidlychanginglandscape
AT balasubramanianvidhya clinicaltrialsinacovid19pandemicsharedinfrastructureforcontinuouslearninginarapidlychanginglandscape
AT cunanankristen clinicaltrialsinacovid19pandemicsharedinfrastructureforcontinuouslearninginarapidlychanginglandscape
AT kapphahnkristopher clinicaltrialsinacovid19pandemicsharedinfrastructureforcontinuouslearninginarapidlychanginglandscape
AT gummidipundisantosh clinicaltrialsinacovid19pandemicsharedinfrastructureforcontinuouslearninginarapidlychanginglandscape
AT puringtonnatasha clinicaltrialsinacovid19pandemicsharedinfrastructureforcontinuouslearninginarapidlychanginglandscape
AT boulosmary clinicaltrialsinacovid19pandemicsharedinfrastructureforcontinuouslearninginarapidlychanginglandscape
AT desaimanisha clinicaltrialsinacovid19pandemicsharedinfrastructureforcontinuouslearninginarapidlychanginglandscape