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Characteristics analysis for clinical study design relating to COVID-19 based on the database of ClinicalTrials.gov.
Wu, Hanting; Dai, Rongchen; He, Peijie; Liang, Juan; Li, Qiushuang; Yang, Junchao; Lu, Hanti; Guo, Qing; Mao, Wei; Ji, Conghua.
  • Wu H; School of Public Health, Zhejiang Chinese Medical University.
  • Dai R; School of Public Health, Zhejiang Chinese Medical University.
  • He P; School of Public Health, Zhejiang Chinese Medical University.
  • Liang J; School of Public Health, Zhejiang Chinese Medical University.
  • Li Q; The First Affiliated Hospital of Zhejiang Chinese Medical University.
  • Yang J; The First Affiliated Hospital of Zhejiang Chinese Medical University.
  • Lu H; The First Affiliated Hospital of Zhejiang Chinese Medical University.
  • Guo Q; School of Public Health, Zhejiang Chinese Medical University.
  • Mao W; The First Affiliated Hospital of Zhejiang Chinese Medical University.
  • Ji C; School of Public Health, Zhejiang Chinese Medical University; The First Affiliated Hospital of Zhejiang Chinese Medical University.
Int J Infect Dis ; 116: 210-215, 2022 Mar.
Article in English | MEDLINE | ID: covidwho-1683186
ABSTRACT
BACKGROUND AND

OBJECTIVE:

The novel coronavirus disease (COVID-19) outbreak is currently ravaging populations worldwide. Many studies were registered and conducted in rapid response to the epidemic, but how to choose the proper design for clinical trials remains the main concern. This study aimed to determine the fundamental characteristics of study design during the COVID-19 pandemic and provide references for other emerging infectious diseases.

METHODS:

We searched the database of ClinicalTrials.gov with the keyword "COVID-19" and compared the results with the design features of other conventional studies except for COVID-19.

RESULTS:

From January 1, 2020 to September 30, 2021, 55,334 trials were registered at ClinicalTrials.gov. Of all the registered trials, 6,408 were related to COVID-19 (11.58%). There were significant differences in the proportion of observational studies between COVID-19 (43.48%) and others (23.27%). The completion rate of observational trials and interventional trials in COVID-19 was 29.04% and 25.84%, respectively. COVID-19 trials showed a higher rate of completion than others (P<0.01). The time distribution and trend of observational studies and interventional studies varied considerably.

CONCLUSION:

Appropriately designed trials can help to improve research efficiency and reduce the possibility of research failure. In addition to randomized controlled trials, observational and single-armed studies are also worth considering.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Clinical Trials as Topic / Pandemics / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: Int J Infect Dis Journal subject: Communicable Diseases Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Clinical Trials as Topic / Pandemics / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: Int J Infect Dis Journal subject: Communicable Diseases Year: 2022 Document Type: Article