ArticleNature communications2018
A community approach to mortality prediction in sepsis via gene expression analysis.
Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 148 papers, 4 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Collection of Clinical Specimens From Volunteers for Assay Development
TriVerity in the Diagnosis and Prognosis of Emergency Department Patients With Suspected Infections and Suspected Sepsis
Sepsis Prognosis and Diagnosis in the Emergency Department Using a Host Response Classifier (SPEED) UK - a Multi-Centre Observational Study
Who cites it
148 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- A consensus immune dysregulation framework for sepsis and critical illnesses.Nature medicine · 2025Guideline
- A Research Agenda for Precision Medicine in Sepsis and Acute Respiratory Distress Syndrome: An Official American Thoracic Society Research Statement.American journal of respiratory and critical care medicine · 2021Guideline
- Prediction of sepsis mortality using metabolite biomarkers in the blood: a meta-analysis of death-related pathways and prospective validation.BMC medicine · 2020Pooled it
- A Meta-Analysis of Multiple Whole Blood Gene Expression Data Unveils a Diagnostic Host-Response Transcript Signature for Respiratory Syncytial Virus.International journal of molecular sciences · 2020Pooled it
- Integrated host-microbe plasma metagenomics for sepsis diagnosis in a prospective cohort of critically ill adults.Nature microbiology · 2022Trial
- A 6-mRNA host response classifier in whole blood predicts outcomes in COVID-19 and other acute viral infections.Scientific reports · 2022Trial
- Early Immune Phenotype-Guided Immunomodulatory Strategies and Intensive Care Outcomes in Septic Shock: A Single-Center Retrospective Cohort Study.Shock (Augusta, Ga.) · 2026Observational
- Real-world clinical evaluation of the Inflammatix TriVerity test for sepsis at the emergency department: an Acutelines study.Internal and emergency medicine · 2026Article
- Whole blood transcriptomics reveals sepsis mortality-associated changes in neutrophil degranulation.American journal of respiratory cell and molecular biology · 2026Observational
- Inflammatory Stewardship-A Perspective for Active Management of Acute Inflammation.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026Article
- Community-Acquired Pneumonia: Disease Course Prediction With a 5-Gene Signature.CHEST pulmonary · 2026Article
- Explainable Boosting Machine in Sepsis Prediction Using Platelet Metabolomics: An Interpretable Machine Learning Approach.Diagnostics (Basel, Switzerland) · 2026Article
- Patient representation in RNA signature studies for detecting and predicting the outcomes of febrile illnesses: a scoping review.BMC infectious diseases · 2026Article
- Longitudinal blood transcriptome profiling reveals immune dynamics in sepsis.BMC infectious diseases · 2026Article
- Managing sepsis in the era of precision medicine: a narrative review.Acute and critical care · 2026Article
- Single-cell transcriptomics reveals pathogen-specific monocyte heterogeneity and potential biomarkers in gram-positive versus gram-negative bloodstream infections.World journal of emergency medicine · 2026Article
- Severe community-acquired pneumonia: an integral approach.Journal of intensive care · 2026Review
- Dynamic biomarker profiling and phenotyping in burn sepsis: a retrospective cohort study using growth mixture modeling.Frontiers in cellular and infection microbiology · 2026Article
- An 11-gene blood transcriptomic signature reflects a sepsis-associated host-response pattern across public cohorts.Frontiers in medicine · 2026Article
- Systematic analysis of programmed cell death-related genes in sepsis reveals immune heterogeneity and enables patient stratification.Frontiers in cell and developmental biology · 2026Article
88 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
26 authors.
Funding
Abstract
Improved risk stratification and prognosis prediction in sepsis is a critical unmet need. Clinical severity scores and available assays such as blood lactate reflect global illness severity with suboptimal performance, and do not specifically reveal the underlying dysregulation of sepsis. Here, we present prognostic models for 30-day mortality generated independently by three scientific groups by using 12 discovery cohorts containing transcriptomic data collected from primarily community-onset sepsis patients. Predictive performance is validated in five cohorts of community-onset sepsis patients in which the models show summary AUROCs ranging from 0.765-0.89. Similar performance is observed in four cohorts of hospital-acquired sepsis. Combining the new gene-expression-based prognostic models with prior clinical severity scores leads to significant improvement in prediction of 30-day mortality as measured via AUROC and net reclassification improvement index These models provide an opportunity to develop molecular bedside tests that may improve risk stratification and mortality prediction in patients with sepsis.
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What OpenQuestion holds
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.