2020
DOI: 10.1080/19466315.2020.1799857
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Clinical Trials Impacted by the COVID-19 Pandemic: Adaptive Designs to the Rescue?

Abstract: Very recently the new pathogen severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was identified and the coronavirus disease 2019 (COVID-19) declared a pandemic by the World Health Organization. The pandemic has a number of consequences for ongoing clinical trials in non-COVID-19 conditions. Motivated by four current clinical trials in a variety of disease areas we illustrate the challenges faced by the pandemic and sketch out possible solutions including adaptive designs. Guidance is provided on (i)… Show more

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Cited by 41 publications
(45 citation statements)
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“…However, DMCs have of course an important role to play in trials in non-COVID-19 diseases that are impacted by the SARS-CoV-2 pandemic. However, they should not be involved in decisions on any design changes if they have been exposed to unblinded (comparative) data [ 76 , 77 ].…”
Section: Discussionmentioning
confidence: 99%
“…However, DMCs have of course an important role to play in trials in non-COVID-19 diseases that are impacted by the SARS-CoV-2 pandemic. However, they should not be involved in decisions on any design changes if they have been exposed to unblinded (comparative) data [ 76 , 77 ].…”
Section: Discussionmentioning
confidence: 99%
“…Also, Kunz et al. ( 2020 ) discussed the use adaptive designs to combine information across stages (e.g., pre-/during/post-pandemic) and/or to allow for unplanned mid-trial modifications to respond to the pandemic. The use of these and other methods will benefit from additional scientific discussions and regulatory guidance.…”
Section: Additional Statistical Considerationsmentioning
confidence: 99%
“…This power calculation was independently also developed by Kunz et al. ( 2020 ). With our agreement, the app now also incorporates various extensions, for example, to group sequential designs as described in Friede and Henderson ( 2009 ).…”
Section: Additional Statistical Considerationsmentioning
confidence: 99%
“…Kunz et al. ( 2020 ) provide a detailed discussion of these considerations and methods for resizing trials along with an R Shiny tool that implements the methods in the context of COVID-19.…”
Section: Data Collection and Assessing Covid-19 Impactmentioning
confidence: 99%