SynthesisFrontiers in medicine2025
The association between coagulation function and prognosis in patients with sepsis: a meta-analysis of predictive performance introduction.
Synthesis in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Calcium homeostasis imbalance in sepsis: molecular mechanisms and therapeutic perspectives.Frontiers in medicine · 2026Review
- Explainable machine learning for predicting venous thromboembolism in septic shock patients.Frontiers in immunology · 2026Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Sepsis, a leading cause of mortality in intensive care units, is associated with coagulation dysfunction, a key pathological feature linked to multi-organ failure. However, the prognostic value of coagulation markers remains heterogeneous across studies. Objective: This meta-analysis aimed to evaluate the association between coagulation parameters and clinical outcomes in sepsis patients, focusing on their predictive performance. Methods: Following PRISMA guidelines, nine studies ( Results: Fibrinogen showed a significant inverse correlation with mortality [OR = 0.76, 95% CI (0.59-0.97)], while INR demonstrated moderate predictive ability (AUC = 0.68). APTT and PT had non-significant ORs but moderate AUCs (0.75 and 0.75, respectively). D-dimer and SOFA score ORs were non-significant, though SOFA's AUC indicated good prognostic utility. High heterogeneity ( Conclusion: Specific coagulation markers, notably fibrinogen and INR, may aid in sepsis prognosis assessment, but variability across studies limits generalizability. Further high-quality studies are warranted to validate these findings. Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/view/CRD420251049209, identifier CRD420251049209.
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