ReviewBurns & trauma2025
Aiming for precision: personalized medicine through sepsis subtyping.
Review in Burns & trauma, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Plasma mitochondrial-associated proteins scale with illness severity and predict outcome in suspected sepsis.Critical care (London, England) · 2026Article
- The Role of Proenkephalin in Predicting Renal Dysfunction and Mortality in Septic Patients Admitted to the Emergency Department and Intensive Care Unit: A Narrative Review.Journal of personalized medicine · 2026Review
- Systems Bioengineering of Septic Shock Metabolism: Citrulline, β-Hydroxybutyrate and Plasma Biomarker-Based Phenotyping.Biomolecules · 2026Review
- Immune Endotype-Guided Precision Immunotherapy in Sepsis: From Transcriptomics to Bedside Application.Cureus · 2026Review
- Article
- Real-world longitudinal validation of high-income-country-derived sepsis endotypes in sub-Saharan Africa: a nested prospective multicenter study.Critical care (London, England) · 2026Article
- Artificial intelligence for sepsis management in the emergency department.BMC infectious diseases · 2026Review
- Data-driven spatial-temporal framework for exploring the heterogeneity and temporality of sepsis.Chinese medical journal · 2026Review
- Hyper-inflammation and immunosuppression: redefining sepsis therapy using modern approaches.Frontiers in pharmacology · 2026Review
- Age- and Sex- Driven Transcriptional and Metabolic Diversity in Myeloid-Derived Suppressor Cells After Mouse Sepsis.bioRxiv : the preprint server for biology · 2025Article
- Monocyte HLA-DR expression in septic shock patients: insights from a 20-year real-world cohort of 1023 cases.Intensive care medicine · 2025Article
- Frailty as an Independent Predictor of Mortality in Patients with Sepsis.Journal of personalized medicine · 2025Article
- Molecular mechanisms and potential implications of ferroptosis, cuproptosis, and disulfidptosis in septic lung injury.Frontiers in medicine · 2025Review
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
According to the latest definition, sepsis is characterized by life-threatening organ dysfunction caused by a dysregulated host response to an infection. However, this definition fails to grasp the heterogeneous nature and the underlying dynamic pathophysiology of the syndrome. In response to this heterogeneity, efforts have been made to stratify sepsis patients into subtypes, either based on their clinical presentation or pathophysiological characteristics. Subtyping introduces the possibility of the implementation of personalized medicine, whereby each patient receives treatment tailored to their individual disease manifestation. This review explores the currently known subtypes, categorized by subphenotypes and endotypes, as well as the treatments that have been researched thus far in the context of sepsis subtypes and personalized medicine.
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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.