SynthesisBMC medicine2020
Prediction of sepsis mortality using metabolite biomarkers in the blood: a meta-analysis of death-related pathways and prospective validation.
Synthesis in BMC medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05305469 (Early Identification and Prognosis Prediction of Sepsis Through Multiomics), which is not on this map. Cited by 69 papers, 3 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.
Early Identification and Prognosis Prediction of Sepsis Through Multiomics
Who cites it
69 citing papers in PubMed, 3 syntheses or guidelines pooled it, 109 citations in OpenAlex.
- The prevalence of frailty among older adults with maintenance hemodialysis: a systematic.BMC nephrology · 2025Pooled it
- Predictive value of serum bile acids as metabolite biomarkers for liver cirrhosis: a systematic review and meta-analysis.Metabolomics : Official journal of the Metabolomic Society · 2022Pooled it
- The supplementation of L-carnitine in septic shock patients: Systematic review and meta-analysis.Clinics (Sao Paulo, Brazil) · 2022Pooled it
- A prediction model for 30-day mortality of sepsis patients based on intravenous fluids and electrolytes.Medicine · 2022Trial
- Systemic inflammation and metabolic disturbances underlie inpatient mortality among ill children with severe malnutrition.Science advances · 2022Trial
- Factors associated with mortality in older sepsis patients: a nationwide retrospective cohort study in Germany.Age and ageing · 2026Observational
- Development and Diagnostic Validation of an Automated Rapid Testing Platform for Serum Lysophosphatidylcholine as a Sepsis Biomarker.Annals of laboratory medicine · 2026Article
- Review
- Advanced technologies of single-cell metabolomics unveiling cellular metabolic heterogeneity for biological and biomedical research.Journal of food and drug analysis · 2026Review
- The role of triglyceride-glucose (TyG) index in predicting mortality risk in critically ill patients with sepsis: a machine learning model in a cohort study.BMC medical informatics and decision making · 2026Article
- Plasma metabolomic signatures in patients with multidrug-resistant bacterial sepsis.Metabolomics : Official journal of the Metabolomic Society · 2026Article
- Sepsis biomarkers: recent advances and future perspectives.Frontiers in immunology · 2026Review
- Construction of a robust sepsis prognostic classifier based on E3 ubiquitin ligase-related genes.Frontiers in molecular biosciences · 2026Article
- Platelet lipidome alterations in septic shock: a matched case-control study.Research and practice in thrombosis and haemostasis · 2026Article
- Evidence of immune-metabolic imbalance prior to sepsis: a prospective study in the UK Biobank.Frontiers in nutrition · 2026Article
- Early biomarkers for predicting sepsis-induced shock: insights from inflammatory pathways and immune response.Frontiers in pharmacology · 2026Review
- Research Progress on Sepsis Diagnosis and Monitoring Based on Omics Technologies: A Review.Diagnostics (Basel, Switzerland) · 2025Review
- Raman Spectroscopy Can Identify Acute and Persistent Biochemical Changes in Leukocytes From Patients With COVID-19 and Non-COVID-19-Associated Sepsis.Biotechnology journal · 2025Article
- Multi-Omics and -Organ Insights into Energy Metabolic Adaptations in Early Sepsis Onset.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Early Sepsis Metabolic Changes in Kidney and Liver Precede Clinical Evidence of Organ Dysfunction.American journal of respiratory cell and molecular biology · 2025Article
9 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
4 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundSepsis is a leading cause of death in intensive care units (ICUs), but outcomes of individual patients are difficult to predict. The recently developed clinical metabolomics has been recognized as a promising tool in the clinical practice of critical illness. The objective of this study was to identify the unique metabolic biomarkers and their pathways in the blood of sepsis nonsurvivors and to assess the prognostic value of these pathways.
methodsWe searched PubMed, EMBASE, Cochrane, Web of Science, CNKI, Wangfang Data, and CQVIP from inception until July 2019. Eligible studies included the metabolomic analysis of blood samples from sepsis patients with the outcome. The metabolic pathway was assigned to each metabolite biomarker. The meta-analysis was performed using the pooled fold changes, area under the receiver operating characteristic curve (AUROC), and vote-counting of metabolic pathways. We also conducted a prospective cohort metabolomic study to validate the findings of our meta-analysis.
resultsThe meta-analysis included 21 cohorts reported in 16 studies with 2509 metabolite comparisons in the blood of 1287 individuals. We found highly limited overlap of the reported metabolite biomarkers across studies. However, these metabolites were enriched in several death-related metabolic pathways (DRMPs) including amino acids, mitochondrial metabolism, eicosanoids, and lysophospholipids. Prediction of sepsis death using DRMPs yielded a pooled AUROC of 0.81 (95% CI 0.76-0.87), which was similar to the combined metabolite biomarkers with a merged AUROC of 0.82 (95% CI 0.78-0.86) (P > 0.05). A prospective metabolomic analysis of 188 sepsis patients (134 survivors and 54 nonsurvivors) using the metabolites from DRMPs produced an AUROC of 0.88 (95% CI 0.78-0.97). The sensitivity and specificity for the prediction of sepsis death were 80.4% (95% CI 66.9-89.4%) and 78.8% (95% CI 62.3-89.3%), respectively.
conclusionsDRMP analysis minimizes the discrepancies of results obtained from different metabolomic methods and is more practical than blood metabolite biomarkers for sepsis mortality prediction.
trial registrationThe meta-analysis was registered on OSF Registries, and the prospective cohort study was registered on the Chinese Clinical Trial Registry (ChiCTR1800015321).
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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.