Implementation of platform trials in the COVID-19 pandemic: A rapid review.

Alyssa M Vanderbeek, Judith M Bliss, Zhulin Yin, Christina Yap
Author Information
  1. Alyssa M Vanderbeek: Clinical Trials and Statistics Unit, The Institute of Cancer Research, London, UK.
  2. Judith M Bliss: Clinical Trials and Statistics Unit, The Institute of Cancer Research, London, UK.
  3. Zhulin Yin: Clinical Trials and Statistics Unit, The Institute of Cancer Research, London, UK.
  4. Christina Yap: Clinical Trials and Statistics Unit, The Institute of Cancer Research, London, UK. Electronic address: Christina.Yap@icr.ac.uk.

Abstract

MOTIVATION: Platform designs - master protocols that allow for new treatment arms to be added over time - have gained considerable attention in recent years. Between 2001 and 2019, 16 platform trials were initiated globally. The COVID-19 pandemic seems to have provided a new motivation for these designs. We conducted a rapid review to quantify and describe platform trials used in COVID-19.
METHODS: We cross-referenced PubMed, ClinicalTrials.gov, and the Cytel COVID-19 Clinical Trials Tracker to identify platform trials, defined by their stated ability to add future arms.
RESULTS: We identified 58 COVID-19 platform trials globally registered between January 2020 and May 2021. According to trial registries, 16 trials have added new therapies (median 3, IQR 4) and 11 have dropped arms (median 3, IQR 2.5). About 50% of trials publicly share their protocol, and 31 trials (53%) intend to share trial data. Forty-nine trials (84%) explicitly report adaptive features, and 21 trials (36%) state Bayesian methods.
CONCLUSIONS: During the pandemic, there has been a surge in the number of platform trials compared to historical use. While transparency in statistical methods and clarity of data sharing policies needs improvement, platform trials appear particularly well-suited for rapid evidence generation. Trials secured funding quickly and many succeeded in adding new therapies in a short time period, thus demonstrating the potential for these trial designs to be implemented beyond the pandemic. The evidence gathered here may provide ample insight to further inform operational, statistical, and regulatory aspects of future platform trial conduct.

Keywords

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MeSH Term

Bayes Theorem
COVID-19
Clinical Protocols
Humans
Pandemics
SARS-CoV-2
Adaptive Clinical Trials as Topic

Word Cloud

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