Platform trials

How Much More Efficient Are Adaptive Platform Trials Than Multiple Stand-Alone Trials? A Comprehensive Simulation Study for Streamlining Drug Development During a Pandemic

With the coronavirus disease 2019 (COVID-19) pandemic, there is growing interest in utilizing adaptive platform clinical trials (APTs), in which multiple drugs are compared with a single common control group, such as a placebo or standard-of-care group. APTs evaluate several drugs for one disease and accept additions or exclusions of drugs as the trials progress; however, little is known about the efficiency of APTs over multiple stand-alone trials. In this study, we simulated the total development period, total sample size, and statistical operating characteristics of APTs and multiple stand-alone trials in drug development settings for hospitalized patients with COVID-19. Simulation studies using selected scenarios reconfirmed several findings regarding the efficiency of APTs. The APTs without staggered addition of drugs showed a shorter total development period than stand-alone trials, but the difference rapidly diminished if patient's enrollment was accelerated during the trials owing to the spread of infection. APTs with staggered addition of drugs still have the possibility of reducing the total development period compared with multiple stand-alone trials in some cases. Our study demonstrated that APTs could improve efficiency relative to multiple stand-alone trials regarding the total development period and total sample size without undermining statistical validity; however, this improvement varies depending on the speed of patient enrollment, sample size, presence/absence of family-wise error rate adjustment, allocation ratio between drug and placebo groups, and interval of staggered addition of drugs. Given the complexity of planning and implementing APT, the decision to implement APT during a pandemic must be made carefully.

Rethinking the pros and cons of randomized controlled trials and observational studies in the era of big data and advanced methods: a panel discussion

Randomized controlled trials (RCTs) have traditionally been considered the gold standard for medical evidence. However, in light of emerging methodologies in data science, many experts question the role of RCTs. Within this context, experts in the USA and Canada came together to debate whether the primacy of RCTs as the gold standard for medical evidence, still holds in light of recent methodological advances in data science and in the era of big data. The purpose of this manuscript, aims to raise awareness of the pros and cons of RCTs and observational studies in order to help guide clinicians, researchers, students, and decision-makers in making informed decisions on the quality of medical evidence to support their work. In particular, new and underappreciated advantages and disadvantages of both designs are contrasted. Innovations taking place in both of these research methodologies, which can blur the lines between the two, are also discussed. Finally, practical guidance for clinicians and future directions in assessing the quality of evidence is offered.

Innovative approaches to COVID-19 medical countermeasure development

BACKGROUND

The COVID-19 pandemic, while unfortunately notable for immense strain and death throughout the world, has also shown great promise in the development of medical countermeasures. As the global scientific community shifted almost entirely towards vaccines, diagnostics and therapeutics, new trial designs most significantly adaptive platform trials, began to be used with greater speed and broader reach. These designs allowed for deploying and investigating new therapeutics, repurposing currently existing therapeutics and flexibly removing or adding additional medications as data appeared in real-time. Moreover, public-private sector partnering occurred at a level not seen before, contributing greatly to the rapid development and deployment of vaccines.

OBJECTIVES

To provide a brief overview of the advances in preventative and therapeutic medical countermeasure development for COVID-19.

METHODS

A narrative review of relevant major medical countermeasure trials was conducted using the date range February 2020-December 2022, representing the period of greatest productivity in research to investigate COVID-19.

RESULTS

Among the most influential trial designs are the adaptive platform designs, which have been applied to the development of initial COVID-19 antivirals, monoclonal antibodies, repurposing of existing immunomodulatory therapy and assisted in the disproof of ineffective medical therapies. Some of the most prominent examples include the REMAP-CAP, RECOVERY and TOGETHER trials.

CONCLUSIONS

Adaptive platform trial designs hold great promise for utility in future pandemics and mass casualty events. Additionally, public-private sectoring is essential for rapid medical countermeasure development and should be further enhanced for future biopreparedness.