Cargando...

Predictors of COVID-19 severity: a systematic review and meta-analysis

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 disease. Objective: To identify the predictors associated with poor clinical outcomes in patients with COVID-19. Method...

Descripción completa

Guardado en:
Detalles Bibliográficos
Publicado en:F1000Res
Autores principales: Mudatsir, Mudatsir, Fajar, Jonny Karunia, Wulandari, Laksmi, Soegiarto, Gatot, Ilmawan, Muhammad, Purnamasari, Yeni, Mahdi, Bagus Aulia, Jayanto, Galih Dwi, Suhendra, Suhendra, Setianingsih, Yennie Ayu, Hamdani, Romi, Suseno, Daniel Alexander, Agustina, Kartika, Naim, Hamdan Yuwafi, Muchlas, Muchamad, Alluza, Hamid Hunaif Dhofi, Rosida, Nikma Alfi, Mayasari, Mayasari, Mustofa, Mustofa, Hartono, Adam, Aditya, Richi, Prastiwi, Firman, Meku, Fransiskus Xaverius, Sitio, Monika, Azmy, Abdullah, Santoso, Anita Surya, Nugroho, Radhitio Adi, Gersom, Camoya, Rabaan, Ali A., Masyeni, Sri, Nainu, Firzan, Wagner, Abram L., Dhama, Kuldeep, Harapan, Harapan
Formato: Artigo
Lenguaje:Inglês
Publicado: F1000 Research Limited 2021
Materias:
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC7607482/
https://ncbi.nlm.nih.gov/pubmed/33163160
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.12688/f1000research.26186.2
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!