Background: The unpredictability of the progression of coronavirus disease 2019 (COVID-
19) may be attributed to the low precision of the tools used to predict the prognosis of this …

Objective We aimed to systematically identify the possible risk factors responsible for severe
cases. Methods We searched PubMed, Embase, Web of science and Cochrane Library for …

Objective We intend to identify some probable risk factors that are responsible for the
severity of COVID‐19 using a meta‐analysis. Methods The literature exploration lasted up to …

Background COVID-19 has been reported in over 40million people globally with variable
clinical outcomes. In this systematic review and meta-analysis, we assessed demographic …

Background: COVID-19 is a new disease which has become a global pandemic, and is
caused by a novel coronavirus, SARS-CoV-2. The disease is still not very well …

Background Early and accurate prognosis prediction of the patients was urgently warranted
due to the widespread popularity of COVID-19. We performed a meta-analysis aimed at …

Aim COVID-19 clinical presentation is heterogeneous, ranging from asymptomatic to severe
cases. While there are a number of early publications relating to risk factors for COVID-19 …

Abstract Background Recently, Coronavirus Disease 2019 (COVID-19) outbreak started in
Wuhan, China. Although the clinical features of COVID-19 have been reported previously …

Background Identification of reliable outcome predictors in coronavirus disease 2019
(COVID‐19) is of paramount importance for improving patient's management. Methods A …

Our study aimed to systematically analyse the risk factors of coronavirus disease 2019
(COVID-19) patients with severe disease. An electronic search in eight databases to identify …