Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Jul 29;12(4):483-497.
doi: 10.1080/19466315.2020.1790415.

Efficient Adaptive Designs for Clinical Trials of Interventions for COVID-19

Affiliations

Efficient Adaptive Designs for Clinical Trials of Interventions for COVID-19

Nigel Stallard et al. Stat Biopharm Res. .

Abstract

The COVID-19 pandemic has led to an unprecedented response in terms of clinical research activity. An important part of this research has been focused on randomized controlled clinical trials to evaluate potential therapies for COVID-19. The results from this research need to be obtained as rapidly as possible. This presents a number of challenges associated with considerable uncertainty over the natural history of the disease and the number and characteristics of patients affected, and the emergence of new potential therapies. These challenges make adaptive designs for clinical trials a particularly attractive option. Such designs allow a trial to be modified on the basis of interim analysis data or stopped as soon as sufficiently strong evidence has been observed to answer the research question, without compromising the trial's scientific validity or integrity. In this article, we describe some of the adaptive design approaches that are available and discuss particular issues and challenges associated with their use in the pandemic setting. Our discussion is illustrated by details of four ongoing COVID-19 trials that have used adaptive designs.

Keywords: Adaptive trial; Group sequential design; Multi-arm multi-stage; Pandemic research; Platform trial; SARS-CoV-2.

PubMed Disclaimer

Conflict of interest statement

Martin Posch reports grants from Novartis Pharma AG, grants from Mediconomics GmbH, grants from Merck KGaA, grants from Abbott Laboratories, grants from Almirall, outside the submitted work. He is also a member of the IMI Project Consortium EU-PEARL.

Figures

Figure 1.
Figure 1.
Illustration of AGILE-ACCORD design.
Figure 2.
Figure 2.
REMAP-CAP trial structure for COVID-19 patients (adapted from a webinar by Berry Consultants, https://www.youtube.com/watch?v=mhPsj1j3hlk).

Similar articles

Cited by

References

    1. Anker, S. D., Butler, J., Khan, M. S., Abraham, W. T., Bauersachs, J., Bocchi, E., Bozkurt, B., Braunwald, E., Chopra, V. K., Cleland, J. G., Ezekowitz, J., Filippatos, G., Friede, T., Hernandez, A. F., Lam, C. S. P., Lindenfeld, J., McMurray, J. J. V., Mehra, M., Metra, M., Packer, M., Pieske, B., Pocock, S. J., Ponikowski, P., Rosano, G. M. C., Teerlink, J. R., Tsutsui, H., Van Veldhuisen, D. J., Verma, S., Voors, A. A., Wittes, J., Zannad, F., Zhang, J., Seferovic, P., and Coats, A. J. S. (2020), “Conducting Clinical Trials in Heart Failure During (and After) the COVID-19 Pandemic: An Expert Consensus Position Paper From the Heart Failure Association (HFA) of the European Society of Cardiology (ESC),” European Heart Journal, 41, 2109–2117. DOI: 10.1093/eurheartj/ehaa461. - DOI - PMC - PubMed
    1. Baucher, H., and Fontanarosa, P. B. (2020), “Randomized Clinical Trials and COVID-19: Managing Expectations,” Journal of the American Medical Association, DOI: 10.1001/jama.2020.8115. - DOI - PubMed
    1. Bauer, P., Bretz, F., Dragalin, V., König, F., and Wassmer, G. (2016), “Twenty-Five Years of Confirmatory Adaptive Designs: Opportunities and Pitfalls,” Statistics in Medicine, 35, 325–347. - PMC - PubMed
    1. Bauer, P., and Kieser, M. (1999), Combining Different Phases in the Development of Medical Treatments Within a Single Trial,” Statistics in Medicine, 18, 1833–1848. DOI: . - PubMed
    1. Bauer, P., Koenig, F., Brannath, W., and Posch, M. (2010), “Selection and Bias—Two Hostile Brothers,” Statistics in Medicine, 29, 1–13. - PubMed

LinkOut - more resources