Advance of Novel Coronavirus Registration Clinical Trial (preprint)

ABSTRACT

Background.This research aims to analyze the clinical characteristics of a novel Corona Virus Disease (COVID-19) registered in the Chinese Clinical Trial Registry (ChiCTR), and to provide an information-based data foundation and information reference for curbing the spread of the COVID-19 epidemic. Methods.The ChiCTR database was comprehensively searched, and the COVID-19 research registration information as of February 24, 2020 was counted. Descriptive analysis of registration time trends and geographical distribution. Chi-square test was used to compare the statistical differences between different study types, intervention methods, research phases and major sponsors. Frequency studies were used to analyze the characteristics of CMT and BI therapy. Results.232 COVID-19 studies registered at the ChiCTR Center were collected. The overall number of COVID-19 registrations was increased. Hubei Province, China has the largest number of registrations, followed by Guangdong, Zhejiang and Sichuan. There were significant differences between the number of participants (P=0.000), study duration (P=0.008), study assignment (P=0.000), and blind method (P=0.000) for different study types. Significant differences could be seen in the dimensions of multicenter study(P=0.022), of participants numbe(P=0.000), study duration(P=0.000) and study assignment(P=0.001) for the four intervention methods. There were significant differences in study assignment (P=0.043) between the early and late studies. CMT drugs with high research frequency are chloroquine, lopinavir / ritonavir, and I-IFN, which are all in phase 4; BI was Cell therapy, plasma therapy, Thymosin, and M/P-AB, which are all in early stages. Conclusion.There were problems of unclear classification of research types and irregular registration behavior. Also, within the studies researched, heterogeneity exists for various dimensions. Different research types, intervention methods, and research stages lead to significant differences in some dimensions of the COVID-19 study. Finally, statistical high-frequency research drugs can provide more treatment options and evidence-based evidence for the clinical practice.