ReviewFrontiers in pediatrics2023
Comparing different scoring systems for predicting mortality risk in preterm infants: a systematic review and network meta-analysis.
Review in Frontiers in pediatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- Neonatal death prediction scores: a systematic review and meta-analysis.BMJ paediatrics open · 2024Pooled it
- Efficacy of the STARZ stratification score in determining the risk of acute kidney injury in critically ill neonates.Pediatric nephrology (Berlin, Germany) · 2026Article
- Risk Stratification for Mortality Among Neonates with Gram-Negative Sepsis.Indian journal of pediatrics · 2026Article
- Article
- Development and validation of a prognostic model and scoring system for in-hospital mortality risk in neonates with heart failure within 28 days: a multicenter retrospective case-control study.Scientific reports · 2026Article
- A deep-learning approach to predict mortality in very-low-birth-weight infants treated in the intensive care units using DeepSurv.Frontiers in pediatrics · 2026Article
- Comparison of Clinical Risk Index for Babies (CRIB) II Score and Extended Sick Neonatal Score (ESNS) as a Predictor of In-hospital Mortality in Premature Neonates with Gestational Age ≤ 32 Weeks.Indian pediatrics · 2025Observational
- Development of a Clinical Risk Assessment Score for Respiratory Distress Due to Respiratory Infections in Early Infancy.Children (Basel, Switzerland) · 2025Article
- Construction and evaluation of a neonatal septic shock prediction model based on multimodal data.Medicine · 2025Article
- A new mortality score in preterm infants: the vasoactive inotropic score.BMC pediatrics · 2025Article
- Comparative Assessment of the Critical Condition of Newborns with Congenital Anomalies on the Basis of Different Scales.Turkish archives of pediatrics · 2025Article
- Development and validation of an epidemiological risk score for neonatal death in a middle-income country.Frontiers in public health · 2025Article
- Potential of miR-192-5p as a diagnostic marker for children with severe pneumonia and respiratory failure and its predictive value for prognosis.Central-European journal of immunology · 2025Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: This study aimed to compare the predictive values of eight scoring systems (Neonatal Critical Illness Score [NCIS], Neonatal Therapeutical Intervention Score System [NTISS], Clinical Risk Index for Babies [CRIB], Clinical Risk Index for Babies II [CRIB-II], Score for Neonatal Acute Physiology Perinatal Extension [SNAPPE], Score for Neonatal Acute Physiology Perinatal Extension II [SNAPPE-II], Score for Neonatal Acute Physiology [SNAP], and Score for Neonatal Acute Physiology II [SNAP-II]) for the mortality risk among preterm infants. Methods: The Embase, PubMed, Chinese Biomedical Database, Web of Science, and Cochrane Library databases were searched to collect studies that compared different scoring systems in predicting the mortality risk in preterm infants from database inception to March 2023. Literature screening, data extraction, and bias risk assessment were independently conducted by two researchers. Subsequently, the random-effects model was used for the network meta-analysis. Results: A total of 19 articles were included, comprising 14,377 preterm infants and 8 scoring systems. Compared to CRIB-II, NCIS, NTISS, SNAP-II, and SNAPPE-II, CRIB demonstrated better predictive efficiency for preterm infant mortality risk ( Conclusion: The CRIB scoring system showed the highest accuracy in predicting preterm infant mortality risk and was simple to perform. Therefore, CRIB selection can be prioritized in clinical practice. Systematic Review Registration: https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=434731, PROSPERO (CRD42023434731).
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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.