Evidence map›Paper›PMID 34793985›Full record

ReviewContemporary clinical trials2022

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

Alyssa M Vanderbeek, Judith M Bliss, Zhulin Yin, Christina Yap

Abstract readReview
In one paragraph

Review in Contemporary clinical trials, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  16. INCEPT: The Intensive Care Platform Trial-Design and protocol.Acta anaesthesiologica Scandinavica · 2025
    Article
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  19. Transfusion in trauma: empiric or guided therapy?Research and practice in thrombosis and haemostasis · 2025
    Article
  20. An automated platform trial framework for A/B testing.Contemporary clinical trials communications · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Alyssa M VanderbeekClinical Trials and Statistics Unit, The Institute of Cancer Research, London, UK.
Judith M BlissClinical Trials and Statistics Unit, The Institute of Cancer Research, London, UK.
Zhulin YinClinical Trials and Statistics Unit, The Institute of Cancer Research, London, UK.
Christina YapClinical Trials and Statistics Unit, The Institute of Cancer Research, London, UK. Electronic address: Christina.Yap@icr.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationPlatform 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.

methodsWe 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.

resultsWe 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.

conclusionsDuring 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.

Indexed as

COVID-19PandemicsAdaptive Clinical Trials as TopicBayes TheoremClinical ProtocolsHumansSARS-CoV-2Adaptive designCOVID-19Drug developmentMaster protocolsPlatform trials

Identifiers

PMID34793985
PMCPMC8591985

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.