Predictors of COVID-19 severity: a systematic review and meta-analysis [version 1; peer review: 2 approved]

Predictors of COVID-19 severity: a systematic review and meta-analysis [version 1; peer review: 2 approved]

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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Main Authors: Mudatsir Mudatsir, Jonny Karunia Fajar, Laksmi Wulandari, Gatot Soegiarto, Muhammad Ilmawan, Yeni Purnamasari, Bagus Aulia Mahdi, Galih Dwi Jayanto, Suhendra Suhendra, Yennie Ayu Setianingsih, Romi Hamdani, Daniel Alexander Suseno, Kartika Agustina, Hamdan Yuwafi Naim, Muchamad Muchlas, Hamid Hunaif Dhofi Alluza, Nikma Alfi Rosida, Mayasari Mayasari, Mustofa Mustofa, Adam Hartono, Richi Aditya, Firman Prastiwi, Fransiskus Xaverius Meku, Monika Sitio, Abdullah Azmy, Anita Surya Santoso, Radhitio Adi Nugroho, Camoya Gersom, Ali A. Rabaan, Sri Masyeni, Firzan Nainu, Abram L. Wagner, Kuldeep Dhama, Harapan Harapan
Format: Article
Language:English
Published: F1000 Research Ltd 2020-09-01
Series:F1000Research
Online Access:https://f1000research.com/articles/9-1107/v1

Internet

https://f1000research.com/articles/9-1107/v1

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