Evaluating the methodology of studies conducted during the global COVID-19 pandemic: A systematic review of

Meng-Zhu Zhao1, Chen Zhao2, Shuang-Shuang Tu3

  • 1Department of Cardiology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin 300381, China; National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin 300381, China.

Abstract

Insights

Evaluating coronavirus disease 2019 (COVID-19) randomized controlled trials (RCTs) revealed low methodological quality and implementation variability. Improving clinical research requires enhanced support for high-quality data collection during pandemics.

Area of Science:

  • Clinical Research
  • Epidemiology
  • Public Health

Background:

  • High-quality therapeutic evidence is crucial for managing the COVID-19 pandemic.
  • Evaluating the quality of data from COVID-19 clinical research is essential for future pandemic preparedness.
  • Assessing the methodological rigor of COVID-19 treatments is vital for reliable clinical guidance.

Purpose of the Study:

  • To evaluate the methodological quality of COVID-19 randomized controlled trials (RCTs).
  • To assess the variability in the implementation of COVID-19 RCTs.
  • To identify support needed for improving data collection during pandemic research.

Main Methods:

  • Systematic search of multiple databases and preprint repositories up to September 30, 2020.
  • Inclusion of RCTs specifically studying COVID-19 treatments.
  • Assessment of methodological quality using Cochrane risk-of-bias tools and analysis of protocol deviations.

Main Results:

  • Eighty-one COVID-19 RCTs were included, with 45 having registration information.
  • Low methodological quality was observed due to issues in allocation concealment, blinding, and reporting.
  • Significant deviations were found between published protocols and registration details for included RCTs.

Conclusions:

  • COVID-19 RCTs from early to mid-2020 exhibited consistently low methodological quality and implementation variability.
  • Enhanced support and collaborative platforms are necessary for high-quality clinical research during epidemics.
  • Clear reporting and interpretation of RCT implementation variability are needed to improve data utility.

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