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Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment
Published on: April 19, 2024
Appealing for efficient, well organized clinical trials on COVID-19
Yang Zhao1, Yongyue Wei1, Sipeng Shen1
1Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 210029, China.
This study analyzed 171 COVID-19 interventional trials, finding common issues in design, blinding, and sample size. Improving trial methodology is crucial for reliable COVID-19 research and patient benefit.
Area of Science:
- Clinical Research Methodology
- Infectious Disease Epidemiology
- Public Health
Background:
- The rapid rise of COVID-19 clinical trials necessitated an analysis of their characteristics.
- Understanding ongoing and pending interventional trials is critical for scientific progress.
Purpose of the Study:
- To review and characterize interventional clinical trials for COVID-19.
- To identify potential defects in trial design, endpoints, and sample size.
Main Methods:
- Systematic review of 171 COVID-19 interventional trials registered in ChiCTR and ClinicalTrials.gov as of February 22, 2020.
- Classification of trials by treatment modality: chemical drugs (CDs), biological therapies (BTs), traditional Chinese medicine (TCM), and other therapies.
- Analysis focused on trial stage, design, randomization, blinding, primary endpoint (PE) definition, and sample size.
Main Results:
- Most trials employed parallel-arm designs (88.3%) and randomization (77.2%), but blinding was infrequent (14.6%).
- Over half of the trials planned to recruit 100 or fewer patients, potentially limiting statistical power.
- Traditional Chinese Medicine trials more frequently used multiple primary endpoints compared to chemical drugs or biological therapies.
Conclusions:
- Identified potential defects in COVID-19 trial designs, including inadequate sample sizes and primary endpoint definitions.
- Emphasized the need for scientifically sound, ethical, and patient-centered design in COVID-19 clinical trials.
- Highlighted the importance of robust trial methodology for generating reliable evidence on COVID-19 treatments.
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