Chronic related group classification system as a new public health tool to predict risk and outcome of COVID-19 in patients with systemic rheumatic diseases: A population-based study of more than forty thousand patients

MLA

De Lorenzis, Enrico, et al. Chronic Related Group Classification System as a New Public Health Tool to Predict Risk and Outcome of COVID-19 in Patients with Systemic Rheumatic Diseases: A Population-Based Study of More than Forty Thousand Patients. 2022. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsoai&AN=edsoai.on1372910363&authtype=sso&custid=ns315887.

APA

De Lorenzis, E., Parente, P., Natalello, G., Soldati, S., Bosello, S. L., Barbara, A., Sorge, C., Axelrod, S., Verardi, L., Cerasuolo, P. G., Peluso, G., Gemma, A., Davoli, M., Biliotti, D., Bruzzese, V., Goletti, M., Di Martino, M., D’Agostino, M. A., Bosello, S. L. (ORCID:0000-0002-4837-447X), & D’Agostino, M. A. (ORCID:0000-0002-5347-0060). (2022). Chronic related group classification system as a new public health tool to predict risk and outcome of COVID-19 in patients with systemic rheumatic diseases: A population-based study of more than forty thousand patients.

Chicago

De Lorenzis, Enrico, Paolo Parente, Gerlando Natalello, Salvatore Soldati, Silvia Laura Bosello, Andrea Barbara, Chiara Sorge, et al. 2022. “Chronic Related Group Classification System as a New Public Health Tool to Predict Risk and Outcome of COVID-19 in Patients with Systemic Rheumatic Diseases: A Population-Based Study of More than Forty Thousand Patients.” http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsoai&AN=edsoai.on1372910363&authtype=sso&custid=ns315887.