Early prediction keys for COVID-19 cases progression: A meta-analysis | Zendy

Mostafa M. Khodeir | Zendy; Hassan A. Shabana | Zendy; Abdullah S. Alkhamiss | Zendy; Zafar Rasheed | Zendy; Mansour Alsoghair | Zendy; Suliman A. Alsagaby | Zendy; Muhammad Inam Khan | Zendy; Nelson Fernández | Zendy; Waleed Al Abdulmonem | Zendy

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Early prediction keys for COVID-19 cases progression: A meta-analysis

Author(s) -

Mostafa M. Khodeir,

Hassan A. Shabana,

Abdullah S. Alkhamiss,

Zafar Rasheed,

Mansour Alsoghair,

Suliman A. Alsagaby,

Muhammad Inam Khan,

Nelson Fernández,

Waleed Al Abdulmonem

Publication year - 2021

Publication title -

journal of infection and public health

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.983

H-Index - 35

eISSN - 1876-035X

pISSN - 1876-0341

DOI - 10.1016/j.jiph.2021.03.001

Subject(s) - medicine , meta analysis , pandemic , covid-19 , disease , copd , diabetes mellitus , creatinine , endocrinology , infectious disease (medical specialty)

BACKGROUNDː: Coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), within few months of being declared as a global pandemic by WHO, the number of confirmed cases has been over 75 million and over 1.6 million deaths since the start of the Pandemic and still counting, there is no consensus on factors that predict COVID-19 case progression despite the diversity of studies that reported sporadic laboratory predictive values predicting severe progression. We review different biomarkers to systematically analyzed these values to evaluate whether are they are correlated with the severity of COVID-19 disease and so their ability to be a predictor for progression.

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