ArticleThe Journal of international medical research2019
Diagnostic and predictive performance of biomarkers in patients with sepsis in an intensive care unit.
Article in The Journal of international medical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.
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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.
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Who cites it
34 citing papers in PubMed, 2 syntheses or guidelines pooled it, 56 citations in OpenAlex.
- IL-6 Baseline Values and Dynamic Changes in Predicting Sepsis Mortality: A Systematic Review and Meta-Analysis.Biomolecules · 2025Pooled it
- Pooled it
- Ruling In and Ruling Out Sepsis Using Likelihood Ratios of a Host Response Assay.Diagnostics (Basel, Switzerland) · 2026Article
- Predictive Value of Platelet-Based Indexes for Mortality in Sepsis.Biomedicines · 2026Article
- Prediction of 28-day mortality in patients with sepsis based on a predictive model: A retrospective cohort study.The Journal of international medical research · 2025Article
- Procalcitonin and interleukin- 6 in predicting prognosis of sepsis patients with cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Article
- Soluble Suppression of Tumorigenicity 2 (sST2) as a Diagnostic and Prognostic Marker in Acute Heart Failure and Sepsis: A Comparative Analysis.Diagnostics (Basel, Switzerland) · 2025Article
- Advances in the comprehensive mechanisms, diagnosis, and treatment of heatstroke-induced coagulopathy.Frontiers in cell and developmental biology · 2025Review
- Comprehensive Sepsis Risk Prediction in Leukemia Using a Random Forest Model and Restricted Cubic Spline Analysis.Journal of inflammation research · 2025Article
- Clinical validation and optimization of machine learning models for early prediction of sepsis.Frontiers in medicine · 2025Article
- Efficiency of IL-6 in Early Prognosis and Follow-Up in Critically Ill Patients with Septic Shock.Diseases (Basel, Switzerland) · 2024Article
- Biomarkers as Predictors of Mortality in Sepsis and Septic Shock for Patients Admitted to Emergency Department: Who Is the Winner? A Prospective Study.Journal of clinical medicine · 2024Article
- Review
- Whole blood ratio ofFrontiers in medicine · 2024Article
- Identifying Effective Biomarkers for Accurate Pancreatic Cancer Prognosis Using Statistical Machine Learning.Diagnostics (Basel, Switzerland) · 2023Article
- Basal procalcitonin, C-reactive protein, interleukin-6, and presepsin for prediction of mortality in critically ill septic patients: a systematic review and meta-analysis.Diagnostic and prognostic research · 2023Review
- The pathophysiology, diagnosis, and management of sepsis-associated disseminated intravascular coagulation.Journal of intensive care · 2023Review
- A New Scoring System for Predicting Mortality in Hematological Malignancies with Sepsis: A Derivation and Validation Study.Cancer management and research · 2023Article
- Explainable Artificial Intelligence Helps in Understanding the Effect of Fibronectin on Survival of Sepsis.Cells · 2022Article
- The role of IL-6, ferritin, and coagulopathy in Covid-19 clinical progression.F1000Research · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis study was performed to compare the predictive performance of serum procalcitonin (PCT), N-terminal brain natriuretic propeptide (NT-proBNP), interleukin-6 (IL-6), prothrombin time (PT), thrombin time (TT), and Sequential Organ Failure Assessment (SOFA) score in the intensive care unit (ICU).
methodsThis retrospective cohort study enrolled 150 patients with sepsis and septic shock and 30 control patients without sepsis. Each patient was followed until death or 28 days. Correlations between variables were assessed with Spearman's rho test. The Kruskal-Wallis and Mann-Whitney U tests were used for between-group comparisons.
resultsReceiver operating characteristic curve analysis of the SOFA score, PCT, NT-proBNP, IL-6, PT, and TT showed an area under the curve of 0.872, 0.732, 0.711, 0.706, 0.806, and 0.691, respectively, for diagnosing sepsis. Binary logistic regression demonstrated that the SOFA score was an independent predictor of 28-day mortality and septic shock. The correlation coefficient (r) between SOFA and PCT, NT-proBNP and SOFA, IL-6 and SOFA, PT and SOFA, and TT and SOFA was 0.79, 0.52, 0.57, 0.56, and 0.58, respectively.
conclusionWhile the SOFA score is the gold standard, analysis of multiple biomarkers could increase the performance capacity for diagnosis and prognosis in patients with sepsis in the ICU.
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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.