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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Pubblicato in:F1000Res
Autori principali: 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
Natura: Artigo
Lingua:Inglês
Pubblicazione: F1000 Research Limited 2021
Soggetti:
Systematic Review
Accesso online: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
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