A meta-analysis of potential biomarkers associated with severity of coronavirus disease 2019 (COVID-19)
코로나바이러스 질병 2019(COVID-19)의 심각성과 관련된 잠재적 바이오마커의 메타 분석
Review
[키워드] (lymphocyte
(procalcitonin
95%CI
albuminemia
association
available data
Bilirubin
biochemical
Biochemical parameters
Biomarker
Biomarkers
Blood level
Blood urea nitrogen
C-reactive protein
CK-MB
coronavirus disease
Coronavirus disease 2019
COVID-19
COVID-19 case
Creatininemia
CRP
D-dimer
effect sizes
elevated
eosinophil
eosinophils
Factor
haematologic
Haemoglobin
help
hematological
higher risk
identify
Inflammatory
interleukin
interleukin-6
LDH
lymphocyte
Lymphocyte count
Lymphocytes
lymphopenia
Meta-analysis
Myoglobin
nitrogen
opposition
P-value
patients with COVID-19
Potential biomarker
procalcitonin
procalcitonin level
Prognostic biomarkers
prognostic risk stratification
proportion
Protein
prothrombin
Prothrombin time
Random-effects meta-analysis
Result
retained
searched
severe cases
severe COVID-19
Severe patient
severe patients
severity
severity of COVID-19
significantly
significantly lower
significantly more
SMD
standardized mean difference
thrombocyte
Thrombocytes
thrombocytopenia
total bilirubin
troponin
troponin I
urea
was used
Web
γ-GT
PMC 바로가기 [Article Type] Review
PMC 바로가기 [Article Type] Review