A meta-analysis of potential biomarkers associated with severity of coronavirus disease 2019 (COVID-19)
Prognostic factors for the Coronavirus disease 2019 (COVID1-9) are not well established. This study aimed to summarize the available data on the association between the severity of COVID-19 and common hematological, inflammatory and biochemical parameters. EMBASE, MEDLINE, Web of sciences were searc...
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Veröffentlicht in: | Biomarker research 2020-08, Vol.8 (1), p.37-37, Article 37 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Prognostic factors for the Coronavirus disease 2019 (COVID1-9) are not well established. This study aimed to summarize the available data on the association between the severity of COVID-19 and common hematological, inflammatory and biochemical parameters.
EMBASE, MEDLINE, Web of sciences were searched to identify all published studies providing relevant data. Random-effects meta-analysis was used to pool effect sizes.
The bibliographic search yielded 287 citations, 31 of which were finally retained. Meta-analysis of standardized mean difference (SMD) between severe and non-severe COVID-19 cases showed that CK-MB (SMD = 0.68,95%CI: 0.48;0.87; |
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ISSN: | 2050-7771 2050-7771 |
DOI: | 10.1186/s40364-020-00217-0 |