ReviewAmerican journal of translational research2024
Prognostic value of inflammatory cytokine detection for sepsis patients in ICU: a meta-analysis.
Review in American journal of translational research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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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
9 citing papers in PubMed.
- Distribution characteristics and influencing factors of active cytomegalovirus infection in patients with hematological malignancies complicated with sepsis.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026Article
- Prognostic Value of the Advanced Lung Cancer Inflammation Index for Predicting in-Hospital Mortality in Intensive Care Unit Patients with Septic Shock: A Retrospective Cohort Study.Journal of inflammation research · 2026Article
- Impact of Neuromuscular Electrical Stimulation on Biological Markers in Critically Ill Patients: A Systematic Review and Meta-Analysis.Critical care research and practice · 2026Review
- Evaluation of the clinical value of serum inflammatory mediators in assessing sepsis severity.Pakistan journal of medical sciences · 2026Article
- Calprotectin, Azurocidin, and Interleukin-8: Neutrophil Signatures with Diagnostic and Prognostic Value in Sepsis.Biomedicines · 2025Article
- Reprogramming immunity with itaconate: metabolic mechanisms and therapeutic perspectives.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2025Review
- TM9SF1 as a Novel Prognostic Biomarker for Sepsis Severity and Mortality: A Longitudinal Study.Journal of inflammation research · 2025Article
- Prognostic role of IL-34 in sepsis and sepsis-induced acute lung injury: preliminary results and future directions.Acta biochimica Polonica · 2025Article
- A Novel Model of Venovenous Extracorporeal Membrane Oxygenation in Rats with Femoral Cannulation and Insights into Hemodynamic Changes.Biomedicines · 2024Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo explore the prognostic effect of cytokine levels such as IL-6 (interleukin), IL-8 and TNF (tumor necrosis factor)-α on patients with sepsis in intensive care units (ICUs) by Meta-analysis.
methodsWe systematically searched PubMed, Embase, Web of Science, Cochrane Library, China National Knowledge Infrastructure (CNKI), Wanfang, and other databases up to May 2023 to retrieve clinical research articles on cytokine testing for predicting sepsis prognosis in ICU settings. Relevant indicators were extracted and recorded in Excel. Meta-analyses were performed using RevMan 5.3.
resultsA total of 25 studies were finally included in this Meta-analysis: 21 investigated IL-6, 6 examined IL-8, 11 addressed IL-10, 12 reviewed TNF-α, and 6 focused on IL-1β. Meta-analysis results demonstrated that cytokine levels (IL-6, IL-8, IL-10, TNF-α and IL-1β) in survival groups were substantially lower than those in non-survival groups (ALL P < 0.00001). Specific findings include significant differences in IL-6 [SMD = -25.32, 95% CI (-27.14, -23.49), P < 0.00001], IL-8 [SMD = -140.48, 95% CI (-154.32, -126.64), P < 0.00001], IL-10 [SMD = -54.10, 95% CI (-56.74, -51.47), P < 0.00001], TNF-α [SMD = -8.67, 95% CI (-9.82, -7.52), P < 0.00001], and IL-1β [SMD = -3.71, 95% CI (-4.11, -3.30), P < 0.00001]. The funnel plots for IL-6, IL-8, IL-10, TNF-α, and IL-1β displayed roughly symmetrical distributions, suggesting minimal bias and high reliability of the findings.
conclusionCytokine levels such as IL-6, IL-8, and TNF-α are valuable prognostic indicators for patients with sepsis in the ICUs. Early testing of these cytokines can guide clinical interventions and enable targeted treatments for high-risk patients to reduce the likelihood of adverse outcomes.
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