Clinica chimica acta; international journal of clinical chemistry
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Meta Analysis Comparative Study
Comparative analysis of laboratory indexes of severe and non-severe patients infected with COVID-19.
The pandemic coronavirus disease 2019 (COVID-19) has threaten the global health. The characteristics of laboratory findings of coronavirus are of great significance for clinical diagnosis and treatment. We found indicators that may most effectively predict a non-severe COVID-19 patient develop into a severe patient. ⋯ Some certain laboratory inspections could predict the progress of the COVID-19 changes, especially lymphocytes, CRP, PCT, ALT, AST, LDH, D-dimer, CD4 T cells and IL6, which provide valuable signals for preventing the deterioration of the disease.
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Meta Analysis
Thrombocytopenia is associated with severe coronavirus disease 2019 (COVID-19) infections: A meta-analysis.
Coronavirus disease 2019 (COVID-19) is a novel infectious disease with lack of established laboratory markers available to evaluate illness severity. In this study, we investigate whether platelet count could differentiate between COVID-19 patients with or without severe disease. Additionally, we evaluate if thrombocytopenia is associated with severe COVID-19. ⋯ Low platelet count is associated with increased risk of severe disease and mortality in patients with COVID-19, and thus should serve as clinical indicator of worsening illness during hospitalization.
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Review Meta Analysis
Prognostic role of microRNA-155 in patients with leukemia: A meta-analysis.
Recent studies have shown that microRNA-155 (miR-155) is correlated with clinical outcomes of leukemia. This meta-analysis explores to evaluate the prognostic value of miR-155 for survival in patients with leukemia. ⋯ We conclude that high miR-155 expression was associated with shorter OS for leukemia patients, and that miR-155 might be a promising prognostic biomarker for this patient population.
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Plasmacytoma variant translocation 1 (PVT1) is a newly discovered long non-coding RNA that functions as an oncogenic molecule in different cancers. We conducted a systematic review and meta-analysis to determine its prognostic potential for malignant tumors. ⋯ Elevated PVT1 expression was related to poor prognosis and might be a potential biomarkerof clinicopathological characteristics in different cancer types. More studies need to be conducted to verify the clinical value of PVT1 in human cancers.