Advance of Novel Coronavirus Registration Clinical Trial
song, g.; cheng, m. q.; wei, x. w.
Show abstract
BackgroundTo analyze the characteristics and heterogeneity of clinical trials of Novel Coronavirus(COVID-19) registered in the China Clinical Trial Registry (ChiCTR), and provide data bases and information references for clinical treatment MethodsStatistics of COVID-19 clinical trials registered with ChiCTR as of February 24, 2020 were collected. Descriptive analysis of registration characteristics. The chi-square test is used to compare statistical differences between different study types, intervention methods, study stage, and Primary sponsor. Results232 COVID-19 studies registered at the ChiCTR were collected. The overall number of COVID-19 registrations was increased. Hubei Province, China has the largest number of registrations. 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; BI was Cell therapy, plasma therapy, Thymosin, and M/P-AB. ConclusionsDifferent study design characteristics have led to significant differences in some aspects of the COVID-19 clinical trial. Timely summary analysis can provide more treatment options and evidence for clinical practice.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Survival analysis of hospital length of stay of novel coronavirus (COVID-19) pneumonia patients in Sichuan, China 94%
- Treatment Profiles And Clinical Outcomes Of COVID-19 Patients At Private Hospital In Jakarta 94%
- Clinical Laboratory Parameters Associated with Severe or Critical Novel Coronavirus Disease 2019 (COVID-19): A Systematic Review and Meta-analysis 94%
Similar papers in this journal
- A Novel Triage Tool of Artificial Intelligence-Assisted Diagnosis Aid System for Suspected COVID-19 Pneumonia in Fever Clinics 92%
- A follow-up study of children infected with SARS-CoV-2 from Western China 91%
- Changes in the expression of interleukin-10 in myocardial infarction and its relationship with macrophage activation and cell apoptosis 91%
Similar papers in this journal
- The Impact of Coronavirus Disease 2019 (COVID-19) on Liver Injury in China: A Systematic Review and Meta-analysis 94%
- The PBL teaching method in Neurology Education in the Traditional Chinese Medicine undergraduate students: An Observational Study 92%
- Effect of Tai Ji and/or Qigong on Patients with Stable Chronic Obstructive Pulmonary Disease A protocol for meta-analysis and systematic review 92%
Similar papers in this journal
- Favipiravir for treating novel coronavirus (COVID-19) patients: protocol for a systematic review and meta-analysis of controlled trials 94%
- Efficacy of clarithromycin on COVID-19 pneumonia without oxygen administration; protocol for multicenter, open-label, randomized-controlled, 3-armed parallel group comparison, exploratory trial (CAME COVID study) 94%
- Efficacy of Lactococcus lactis strain plasma (LC-Plasma) in easing symptoms in patients with mild coronavirus disease 2019 (COVID-19): protocol for an exploratory, multicenter, double-blinded, randomized controlled trial (PLATEAU study) 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.