SynthesisClinical reviews in allergy & immunology2023
Identification of Parameters Representative of Immune Dysfunction in Patients with Severe and Fatal COVID-19 Infection: a Systematic Review and Meta-analysis.
Synthesis in Clinical reviews in allergy & immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 4 of them syntheses that pooled it.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
60 citing papers in PubMed, 4 syntheses or guidelines pooled it, 90 citations in OpenAlex.
- Low eosinophils and their dynamic as a predictor of death in patients with infections: a systematic review and meta-analysis of cohort studies.Annals of medicine · 2025Pooled it
- Elevated level of circulating calprotectin correlates with severity and high mortality in patients with COVID-19.Immunity, inflammation and disease · 2024Pooled it
- Systemic inflammation index, disease severity, and mortality in patients with COVID-19: a systematic review and meta-analysis.Frontiers in immunology · 2023Pooled it
- T-Cell Subsets and Interleukin-10 Levels Are Predictors of Severity and Mortality in COVID-19: A Systematic Review and Meta-Analysis.Frontiers in medicine · 2022Pooled it
- Colchicine reduces the activation of NLRP3 inflammasome in COVID-19 patients.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2023Trial
- Placental ferroptosis and impaired fetal growth in symptomatic and asymptomatic SARS-CoV-2 infections.Clinical science (London, England : 1979) · 2026Article
- Multiorgan Molecular Landscape of Severe COVID-19 Revealed by Consensus Gene Signatures and RAB8B Targeting.Journal of medical virology · 2026Article
- The Ability of Serum Amyloid A to Discriminate Coronavirus Disease 2019 (COVID-19) Patients Who Stay Moderately Ill Versus Patients Who Become Severely Ill.Journal of clinical laboratory analysis · 2026Article
- NOVAGene: a nonlinear approach to improve biological resolution in weighted gene co-expression networks for low-variability datasets.Frontiers in bioinformatics · 2026Article
- Increasing inflammatory biomarkers are associated with mortality in critically ill COVID-19 patients despite anti-inflammatory treatment.Clinical and experimental medicine · 2025Observational
- Critical illness in immunocompromised patients: insights into relapse or persistent severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2): case series report.Journal of medical case reports · 2025Article
- Machine Learning Reassessment of Serum Immune Factors Shows No Unique Immune Profiles Linked to Disease Outcomes in SARS-CoV-2-infected Patients at Hospital Admittance.European journal of immunology · 2025Article
- Extracorporeal Membrane Oxygenation Modulates the Inflammatory Milieu and Organ Failure Trajectory in Severe COVID-19 and Sepsis.Journal of clinical medicine · 2025Article
- Neuroinflammation in Severe COVID-19: The Dynamics of Inflammatory and Brain Injury Markers During Hospitalization.Molecular neurobiology · 2025Article
- Gut Microbiome dysbiosis and immune activation correlate with somatic and neuropsychiatric symptoms in COVID-19 patients.Journal of translational medicine · 2025Article
- Immunological pathogenesis and treatment progress of adenovirus pneumonia in children.Italian journal of pediatrics · 2025Review
- Study of Peripheral Blood T-Lymphocytes and Their Subpopulations in COVID-19 Patients.Biochemistry research international · 2025Article
- Innate and adaptive immune patterns in hospitalised COVID-19 patients: a framework for precision monitoring in viral and inflammatory syndromes.Frontiers in immunology · 2025Observational
- CXCL9 and CXCL10 support the exacerbated humoral response in recovered COVID-19 patients who developed acute respiratory distress syndrome by promoting plasma cell differentiation, whereas CXCL9 also induces CD40L and CXCR3 upregulation on T helper cells.Frontiers in immunology · 2025Article
- Editorial: Immunoregulatory cells: balancing immune responses during pathogen infections.Frontiers in immunology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Abnormal immunological indicators associated with disease severity and mortality in patients with COVID-19 have been reported in several observational studies. However, there are marked heterogeneities in patient characteristics and research methodologies in these studies. We aimed to provide an updated synthesis of the association between immune-related indicators and COVID-19 prognosis. We conducted an electronic search of PubMed, Scopus, Ovid, Willey, Web of Science, Cochrane library, and CNKI for studies reporting immunological and/or immune-related parameters, including hematological, inflammatory, coagulation, and biochemical variables, tested on hospital admission of COVID-19 patients with different severities and outcomes. A total of 145 studies were included in the current meta-analysis, with 26 immunological, 11 hematological, 5 inflammatory, 4 coagulation, and 10 biochemical variables reported. Of them, levels of cytokines, including IL-1β, IL-1Ra, IL-2R, IL-4, IL-6, IL-8, IL-10, IL-18, TNF-α, IFN-γ, IgA, IgG, and CD4
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.