SynthesisBritish journal of biomedical science2025
S100 Protein and Interleukin Biomarkers Among COVID-19 Subjects With and Without Pneumonia: A Systematic Review and Meta-Analysis.
Synthesis in British journal of biomedical science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The global spread of COVID-19, caused by SARS-CoV-2, has resulted in a wide spectrum of clinical manifestations, ranging from asymptomatic cases to severe complications, such as pneumonia, acute respiratory distress syndrome (ARDS), and multiple organ failure. Identifying effective biomarkers is essential for predicting disease severity and improving patient management. Objectives: This meta-analysis aims to assess the significance of S100 proteins (S100A4, S100A8, S100A9, S100A12, S100B, S100P) and interleukins (IL) (IL-6, IL-8, IL-10, IL-17, IL-1β) in COVID-19 patients, comparing those with and without pneumonia or organ failure. Methods: A systematic literature search was conducted on different databases, yielding 47 relevant studies published between 2020 and 2024. Data on the prevalence of IL and S100 protein levels were extracted and analyzed using pooled standardized mean differences (SMD) and heterogeneity (I Results: IL-6 and IL-10 levels were significantly elevated in COVID-19 patients suffering from pneumonia or organ failure. IL-6 levels were notably higher in pneumonia patients compared to those without (SMD = 0.34 [95% CI: 0.17, 0.52], I Conclusion: This meta-analysis underscores the potential of IL-6, IL-10, and S100 proteins as important biomarkers in evaluating COVID-19 severity, offering valuable insights to help clinical management.
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