Observational studyInternational journal of hematology2021
Validation of sepsis-induced coagulopathy score in critically ill patients with septic shock: post hoc analysis of a nationwide multicenter observational study in Japan.
Observational study in International journal of hematology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis 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
32 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.
- Biomarkers and clinical factors associated with sepsis-induced coagulopathy: A systematic review and meta-analysis.Science progress · 2026Pooled it
- Prognostic impact of sepsis-induced coagulopathy on mortality and clinical outcomes in ICU patients.BMC anesthesiology · 2026Article
- Interpretable machine learning for early prediction of sepsis-induced coagulopathy: a multicenter retrospective development and validation study.BMC medical informatics and decision making · 2026Article
- Cross-algorithm machine learning and consensus features for early disseminated intravascular coagulation risk prediction in sepsis-induced coagulopathy.Journal of translational medicine · 2026Article
- Neonatal Sepsis-Induced Coagulopathy in the Light of Developmental Hemostasis: Friend or Foe?Medicina (Kaunas, Lithuania) · 2026Review
- Sepsis induced coagulopathy (SIC): is it monolithic?Thrombosis journal · 2026Article
- Explainable machine learning model for predicting short-term outcomes in sepsis- induced coagulopathy.BMC medical informatics and decision making · 2026Article
- Delayed anticoagulation is associated with lower mortality in sepsis-induced coagulopathy: a large-scale, propensity-score-matched cohort study from MIMIC-IV.International journal of surgery (London, England) · 2026Article
- Article
- Deep Vein Thrombosis in Critically Ill Patients With COVID-19 Pneumonia: Incidence, Wells Score Diagnostic Performance, and Hospital Prognosis.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2026Observational
- Sepsis-Related Cardiomyopathy: Advances in Diagnosis and Treatment.Reviews in cardiovascular medicine · 2025Review
- Development and Validation of a Nomogram Prediction Model for Sepsis-Induced Coagulopathy: A Multicenter Retrospective Study.Current medical science · 2025Article
- Incidence of Sepsis-Induced Coagulopathy (INSIC) Trial: Study Protocol of a Combined Retrospective and Prospective, Multicenter, International, Cross-Sectional, Longitudinal, and Epidemiological Observational Trial.Journal of clinical medicine · 2025Article
- Protein C in adult patients with sepsis: from pathophysiology to monitoring and supplementation.Journal of anesthesia, analgesia and critical care · 2025Review
- Development and Validation of a Nomogram for Predicting Sepsis-Induced Coagulopathy in Septic Patients: Mixed Retrospective and Prospective Cohort Study.Thrombosis and haemostasis · 2025Article
- [A clinical investigation of constructing a diagnostic model for sepsis-induced coagulopathy utilizing data-independent acquisition proteomics].Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi · 2025Article
- Global Research Trends in Sepsis-Associated Coagulopathy: A Web of Science-Based Bibliometric Analysis (2000-2024).Journal of multidisciplinary healthcare · 2025Review
- Impending sepsis-induced coagulopathy (SIC) is associated with increased disease severity in SIC-negative patients: a secondary analysis of a prospective exploratory study.Frontiers in medicine · 2025Article
- Interpretable machine learning model for early morbidity risk prediction in patients with sepsis-induced coagulopathy: a multi-center study.Frontiers in immunology · 2025Article
- Development and validation of a nomogram for early prediction of sepsis-induced coagulopathy: a multicenter study.Frontiers in medicine · 2025Article
Corrections and comments
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Authors and funding
11 authors at 2 institutions in 2 countries.
Funding
Abstract
Coagulation disorder is a major cause of death in sepsis patients. Recently, sepsis-induced coagulopathy (SIC) scoring was developed as a new criterion for coagulopathy-associated sepsis. We aimed to evaluate the accuracy of the SIC score for predicting the prognosis of septic shock. We analyzed data from a multicenter observational study conducted from 2011 to 2013. We grouped the participants into those who did and did not use vasopressors, and compared the in-hospital mortality rates of SIC and non-SIC patients. Patients who needed vasopressors were considered to have septic shock. We performed survival analysis adjusted by factors independently associated with mortality. SIC developed in 66.4% of patients who used vasopressors and 42.2% of patients who did not. The in-hospital mortality difference between the SIC and non-SIC groups was statistically significant in those who needed vasopressors (35.8% vs 27.9%, p < 0.01). Cox regression analysis indicated that SIC was significantly correlated with mortality risk in patients who used vasopressors (hazard ratio [HR] 1.39; 95% confidence interval [CI] 1.13-1.70; p < 0.01), but not in those who did not (HR 1.38; 95% CI 0.81-2.34; p = 0.23). In conclusion, the SIC score might be a good diagnostic indicator of fatal coagulopathy among sepsis patients who need vasopressors.
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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.