SynthesisLife sciences2020
The role of cytokine profile and lymphocyte subsets in the severity of coronavirus disease 2019 (COVID-19): A systematic review and meta-analysis.
Synthesis in Life sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 126 papers, 7 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
126 citing papers in PubMed, 7 syntheses or guidelines pooled it, 237 citations in OpenAlex.
- The Effect of Nitazoxanide on the Clinical Outcomes in Patients with COVID-19: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.Clinical drug investigation · 2022Pooled it
- The tryptophan catabolite or kynurenine pathway in COVID-19 and critical COVID-19: a systematic review and meta-analysis.BMC infectious diseases · 2022Pooled 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
- Adaptive immunity to SARS-CoV-2 infection: A systematic review.Frontiers in immunology · 2022Pooled it
- Coronavirus disease 2019 (COVID-19): A systematic review of 133 Children that presented with Kawasaki-like multisystem inflammatory syndrome.Journal of medical virology · 2021Pooled it
- Ischemic gastrointestinal complications of COVID-19: a systematic review on imaging presentation.Clinical imaging · 2021Pooled it
- Serum amyloid A concentrations, COVID-19 severity and mortality: An updated systematic review and meta-analysis.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2021Pooled it
- Effect of Remote Ischaemic Conditioning on the Inflammatory Cytokine Cascade of COVID-19 (RIC in COVID-19): a Randomized Controlled Trial.Cardiovascular drugs and therapy · 2024Trial
- Trial
- Lung Neutrophilic Recruitment and IL-8/IL-17A Tissue Expression in COVID-19.Frontiers in immunology · 2021Trial
- Development and validation of an interpretable machine learning model using routine laboratory biomarkers to stratify severe pneumonia risk in young children.Journal of advanced research · 2026Article
- Inflammatory Biomarkers as Mediators of the Effect Between High-Dose Corticosteroid Therapy and Mortality in COVID-19-Related ARDS: A Causal Mediation Analysis.Immunity, inflammation and disease · 2026Article
- Identification and Validation of Liver Transplantation-Induced Acute Lung Injury Biomarkers Using a Bioinformatics and Experimental Approach.Annals of transplantation · 2026Article
- Diagnostic value of bronchoalveolar lavage fluid cytokine and lymphocyte profiles for lower respiratory tract infections in patients with lymphoma.Frontiers in medicine · 2026Article
- Longitudinal trajectories of hematological indices and serum metalloproteinases-2 and 9 over 1 year after moderate and severe COVID-19.Frontiers in medicine · 2026Article
- Dynamic Clinical and Laboratory Predictors of in-Hospital Mortality in COVID-19: A Multivariate Cox Regression Study.Biomedicines · 2025Article
- Article
- Immunometabolic Effect of Nitric Oxide on Human Macrophages Challenged With the SARS-CoV2-Induced Cytokine Storm. A Fluxomic Approach.Advanced healthcare materials · 2025Article
- Effects of immunoproteasome inhibition on acute respiratory infection with murine hepatitis virus strain 1.Journal of virology · 2024Article
- Exploring the landscape of symptom-specific inflammatory cytokines in post-COVID syndrome patients.BMC infectious diseases · 2024Article
66 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsThis study aimed to make a comparison between the clinical laboratory-related factors, complete blood count (CBC) indices, cytokines, and lymphocyte subsets in order to distinguish severe coronavirus disease 2019 (COVID-19) cases from the non-severe ones. MATERIALS AND
methodsRelevant studies were searched in PubMed, Embase, Scopus, and Web of Science databases until March 31, 2020. Cochrane's Q test and the I KEY
findingsOut of a total of 8557 initial records, 44 articles (50 studies) with 7865 patients (ranging from 13 to 1582), were included. Our meta-analyses with random-effect models showed a significant decrease in lymphocytes, monocyte, CD4+ T cells, CD8+ T cells, CD3 cells, CD19 cells, and natural killer (NK) cells and an increase in the white blood cell (WBC), neutrophils, neutrophil to lymphocyte ratio (NLR), C-reactive protein (CRP)/hs-CRP, erythrocyte sedimentation rate (ESR), ferritin, procalcitonin (PCT), and serum amyloid A (SAA), interleukin-2 (IL-2), IL-2R, IL-4, IL-6, IL-8, IL-10, tumor necrosis factor-alpha (TNF-α), and interferon-gamma (INF-γ) in the severe group compared to the non-severe group. However, no significant differences were found in IL-1β, IL-17, and CD4/CD8 T cell ratio between the two groups. SIGNIFICANCE: Decrease in total lymphocytes and lymphocyte subsets as well as the elevation of CRP, ESR, SAA, PCT, ferritin, and cytokines, but not IL-1β and IL-17, were closely associated with COVID-19 severity, implying reliable indicators of severe COVID-19.
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What OpenQuestion holds
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.