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...

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Detalles Bibliográficos
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: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2021
Materias:
Systematic Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7607482/
https://www.ncbi.nlm.nih.gov/pubmed/33163160
http://dx.doi.org/10.12688/f1000research.26186.2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7607482/
https://www.ncbi.nlm.nih.gov/pubmed/33163160
http://dx.doi.org/10.12688/f1000research.26186.2

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