ReviewExpert review of anti-infective therapy2014
The pediatric sepsis biomarker risk model: potential implications for sepsis therapy and biology.
Review in Expert review of anti-infective therapy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
20 citing papers in PubMed.
- Advances and Challenges in Pediatric Sepsis Diagnosis: Integrating Early Warning Scores and Biomarkers for Improved Prognosis.Biomolecules · 2025Review
- Age influences the circulating immune profile in pediatric sepsis.Frontiers in immunology · 2025Observational
- Machine learning-based time-to-event survival analysis in pediatric patients with severe sepsis.Frontiers in pediatrics · 2025Article
- Increased Levels of Plasma Extracellular Heat-Shock Proteins 60 and 70 kDa Characterized Early-Onset Neonatal Sepsis.Frontiers in pediatrics · 2021Article
- Sepsis Biomarkers.Journal of pediatric intensive care · 2019Review
- Procalcitonin and Pancreatic Stone Protein Function as Biomarkers in Early Diagnosis of Pediatric Acute Osteomyelitis.Medical science monitor : international medical journal of experimental and clinical research · 2017Article
- Improved Risk Stratification in Pediatric Septic Shock Using Both Protein and mRNA Biomarkers. PERSEVERE-XP.American journal of respiratory and critical care medicine · 2017Observational
- Observational
- Incorporating Inflammation into Mortality Risk in Pediatric Acute Respiratory Distress Syndrome.Critical care medicine · 2017Observational
- Monitoring Severity of Multiple Organ Dysfunction Syndrome: New Technologies.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2017Review
- An Enrichment Strategy For Sepsis Clinical Trials.Shock (Augusta, Ga.) · 2016Article
- Pediatric Sepsis Biomarker Risk Model-II: Redefining the Pediatric Sepsis Biomarker Risk Model With Septic Shock Phenotype.Critical care medicine · 2016Article
- Sepsis in Pediatric Cardiac Intensive Care.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2016Review
- Cytokine Profiles during Invasive Nontyphoidal Salmonella Disease Predict Outcome in African Children.Clinical and vaccine immunology : CVI · 2016Article
- Prospective Testing and Redesign of a Temporal Biomarker Based Risk Model for Patients With Septic Shock: Implications for Septic Shock Biology.EBioMedicine · 2015Article
- Interleukin-10 rs2227307 and CXCR2 rs1126579 polymorphisms modulate the predisposition to septic shock.Memorias do Instituto Oswaldo Cruz · 2015Article
- Comparing the prognostic performance of ASSIST to interleukin-6 and procalcitonin in patients with severe sepsis or septic shock.Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals · 2015Article
- Biomarkers of sepsis and their potential value in diagnosis, prognosis and treatment.Expert review of clinical immunology · 2014Review
- Article
- Predicting mortality in pediatric sepsis: A laudable but elusive goal.Jornal de pediatriaArticle
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
Abstract
Sepsis remains a major cause of morbidity and mortality in adult and pediatric intensive care units. Heterogeneity of demographics, comorbidities, biological mechanisms, and severity of illness leads to difficulty in determining which patients are at highest risk of mortality. Determining mortality risk is important for weighing the potential benefits of more aggressive interventions and for deciding whom to enroll in clinical trials. Biomarkers can be used to parse patients into different risk categories and can outperform current methods of patient risk stratification based on physiologic parameters. Here we review the Pediatric Sepsis Biomarker Risk Model that has also been modified and applied to estimate mortality risk in adult patients. We compare the two models and speculate on the biological implications of the biomarkers in patients with sepsis.
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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.