Trial reportGut2014
A novel urine peptide biomarker-based algorithm for the prognosis of necrotising enterocolitis in human infants.
Trial report in Gut, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
49 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Methods of identifying surgical Necrotizing Enterocolitis-a systematic review and meta-analysis.Pediatric research · 2025Pooled it
- Biomarkers for Necrotising Enterocolitis-Are We There Yet?Children (Basel, Switzerland) · 2026Review
- Dual swin transformer for assisting in the diagnosis and surgical prediction of necrotizing enterocolitis.Pediatric research · 2026Article
- Diagnosis and Staging of Necrotizing Enterocolitis: Current Controversies and a Phenotype-Based Framework.Children (Basel, Switzerland) · 2026Review
- [Research progress in artificial intelligence for the diagnosis and management of diseases in preterm infants].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2026Review
- [Recent advances in artificial intelligence for auxiliary diagnosis and management of neonatal necrotizing enterocolitis].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2025Review
- A roadmap of artificial intelligence applications in pediatric surgery: a comprehensive review of applications, challenges, and ethical considerations.Pediatric surgery international · 2025Review
- Advances in Artificial Intelligence and Machine Learning for Precision Medicine in Necrotizing Enterocolitis and Neonatal Sepsis: A State-of-the-Art Review.Children (Basel, Switzerland) · 2025Review
- AXpert: human expert facilitated privacy-preserving large language models for abdominal X-ray report labeling.JAMIA open · 2025Article
- Necrotising enterocolitis biomarkers: a systematic review.Frontiers in pediatrics · 2025Review
- Characteristics, progression, management, and outcomes of NEC: a retrospective cohort study.Pediatric surgery international · 2024Article
- Metabolomic analysis to predict the onset and severity of necrotizing enterocolitis.BMC gastroenterology · 2024Article
- Artificial intelligence to classify acquired intestinal injury in preterm neonates-a new perspective.Pediatric research · 2024Article
- Machine learning-based analysis for prediction of surgical necrotizing enterocolitis in very low birth weight infants using perinatal factors: a nationwide cohort study.European journal of pediatrics · 2024Article
- The Interaction between Stress and Inflammatory Bowel Disease in Pediatric and Adult Patients.Journal of clinical medicine · 2024Review
- Recent progress in mass spectrometry-based urinary proteomics.Clinical proteomics · 2024Review
- Necrotizing enterocolitis: current understanding of the prevention and management.Pediatric surgery international · 2024Review
- Understanding necrotizing enterocolitis endotypes and acquired intestinal injury phenotypes from a historical and artificial intelligence perspective.Frontiers in pediatrics · 2024Review
- Transforming neonatal care with artificial intelligence: challenges, ethical consideration, and opportunities.Journal of perinatology : official journal of the California Perinatal Association · 2024Review
- Recent advances in our understanding of NEC diagnosis, prognosis and surgical approach.Frontiers in pediatrics · 2023Review
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Authors and funding
16 authors.
Funding
Abstract
objectiveNecrotising enterocolitis (NEC) is a major source of neonatal morbidity and mortality. The management of infants with NEC is currently complicated by our inability to accurately identify those at risk for progression of disease prior to the development of irreversible intestinal necrosis. We hypothesised that integrated analysis of clinical parameters in combination with urine peptide biomarkers would lead to improved prognostic accuracy in the NEC population.
designInfants under suspicion of having NEC (n=550) were prospectively enrolled from a consortium consisting of eight university-based paediatric teaching hospitals. Twenty-seven clinical parameters were used to construct a multivariate predictor of NEC progression. Liquid chromatography/mass spectrometry was used to profile the urine peptidomes from a subset of this population (n=65) to discover novel biomarkers of NEC progression. An ensemble model for the prediction of disease progression was then created using clinical and biomarker data.
resultsThe use of clinical parameters alone resulted in a receiver-operator characteristic curve with an area under the curve of 0.817 and left 40.1% of all patients in an 'indeterminate' risk group. Three validated urine peptide biomarkers (fibrinogen peptides: FGA1826, FGA1883 and FGA2659) produced a receiver-operator characteristic area under the curve of 0.856. The integration of clinical parameters with urine biomarkers in an ensemble model resulted in the correct prediction of NEC outcomes in all cases tested.
conclusionsEnsemble modelling combining clinical parameters with biomarker analysis dramatically improves our ability to identify the population at risk for developing progressive NEC.
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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.