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• W3174033189 endingPage "e0253894" @default.
• W3174033189 startingPage "e0253894" @default.
• W3174033189 abstract "Objective To describe the laboratory parameters and biomarkers of the cytokine storm syndrome associated with severe and fatal COVID-19 cases. Methods A search with standardized descriptors and synonyms was performed on November 28 th , 2020 of the MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials, ClinicalTrials.gov, LILACS, and IBECS to identify studies of interest. Grey literature searches and snowballing techniques were additionally utilized to identify yet-unpublished works and related citations. Two review authors independently screened the retrieved titles and abstracts, selected eligible studies for inclusion, extracted data from the included studies, and then assessed the risk of bias using the Newcastle-Ottawa Scale. Eligible studies were those including laboratory parameters—including serum interleukin-6 levels—from mild, moderate, or severe COVID-19 cases. Laboratory parameters, such as interleukin-6, ferritin, hematology, C-Reactive Protein, procalcitonin, lactate dehydrogenase, aspartate aminotransferase, creatinine, and D-dimer, were extracted from the studies. Meta-analyses were conducted using the laboratory data to estimate mean differences with associated 95% confidence intervals. Data synthesis The database search yielded 9,620 records; 40 studies (containing a total of 9,542 patients) were included in the final analysis. Twenty-one studies (n = 4,313) assessed laboratory data related to severe COVID-19 cases, eighteen studies (n = 4,681) assessed predictors for fatal COVID-19 cases and one study (n = 548) assessed laboratory biomarkers related to severe and fatal COVID-19 cases. Lymphopenia, thrombocytopenia, and elevated levels of interleukin-6, ferritin, D-dimer, aspartate aminotransferase, C-Reactive-Protein, procalcitonin, creatinine, neutrophils and leucocytes were associated with severe and fatal COVID-19 cases. Conclusions This review points to interleukin-6, ferritin, leukocytes, neutrophils, lymphocytes, platelets, C-Reactive Protein, procalcitonin, lactate dehydrogenase, aspartate aminotransferase, creatinine, and D-dimer as important biomarkers of cytokine storm syndrome. Elevated levels of interleukin-6 and hyperferritinemia should be considered as red flags of systemic inflammation and poor prognosis in COVID-19." @default.
• W3174033189 created "2021-07-05" @default.
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• W3174033189 date "2021-06-29" @default.
• W3174033189 modified "2023-10-02" @default.
• W3174033189 title "Biomarkers of cytokine storm as red flags for severe and fatal COVID-19 cases: A living systematic review and meta-analysis" @default.
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• W3174033189 cites W2057183171 @default.
• W3174033189 cites W2068406703 @default.
• W3174033189 cites W2144565854 @default.
• W3174033189 cites W2148608679 @default.
• W3174033189 cites W2163067702 @default.
• W3174033189 cites W2760115978 @default.
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• W3174033189 cites W2940778675 @default.
• W3174033189 cites W3003775212 @default.
• W3174033189 cites W3004775012 @default.
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• W3174033189 cites W3009859788 @default.
• W3174033189 cites W3009885589 @default.
• W3174033189 cites W3009917784 @default.
• W3174033189 cites W3012345473 @default.
• W3174033189 cites W3012421327 @default.
• W3174033189 cites W3012422150 @default.
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• W3174033189 cites W3014663601 @default.
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• W3174033189 cites W3015492319 @default.
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• W3174033189 cites W3016243206 @default.
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• W3174033189 cites W3016832871 @default.
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• W3174033189 cites W3033765823 @default.
• W3174033189 cites W3036563213 @default.
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• W3174033189 cites W3041846146 @default.
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• W3174033189 cites W3044304208 @default.
• W3174033189 cites W3045438546 @default.
• W3174033189 cites W3045774637 @default.
• W3174033189 cites W3045858943 @default.
• W3174033189 cites W3048478051 @default.
• W3174033189 cites W3049662107 @default.
• W3174033189 cites W3051748260 @default.
• W3174033189 cites W3080654873 @default.
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• W3174033189 cites W3090490930 @default.
• W3174033189 cites W3091713375 @default.
• W3174033189 cites W3093137506 @default.
• W3174033189 cites W3093426014 @default.
• W3174033189 cites W3093574410 @default.
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• W3174033189 doi "https://doi.org/10.1371/journal.pone.0253894" @default.
• W3174033189 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8241122" @default.
• W3174033189 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34185801" @default.
• W3174033189 hasPublicationYear "2021" @default.
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