ReviewWorld journal of pediatrics : WJP2022
Prediction modelling in the early detection of neonatal sepsis.
Review in World journal of pediatrics : WJP, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.
What it found
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The trial behind it
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Who cites it
21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 42 citations in OpenAlex.
- AI Quality Standards in Health Care: Rapid Umbrella Review.Journal of medical Internet research · 2024Pooled it
- Assessment of hemodynamic dysfunction in septic newborns by functional echocardiography: a systematic review.Pediatric research · 2024Pooled it
- Machine Learning-Based Prediction of Culture-Confirmed Neonatal Sepsis in a Tertiary Neonatal Intensive Care Unit: Retrospective Cohort Study.JMIR medical informatics · 2026Article
- Construction of a robust sepsis prognostic classifier based on E3 ubiquitin ligase-related genes.Frontiers in molecular biosciences · 2026Article
- Construction and validation of neonatal sepsis diagnostic nomograms: a single-site retrospective study.Frontiers in pediatrics · 2026Article
- Maternal inflammation during the second trimester of pregnancy with adverse birth outcomes: a prospective cohort study.World journal of pediatrics : WJP · 2025Article
- Clinical prediction models to diagnose neonatal sepsis in low-income and middle-income countries: a scoping review.BMJ global health · 2025Article
- Clinical characteristics of bronchopulmonary dysplasia and the risk of sepsis onset prediction via machine learning models.Frontiers in pediatrics · 2025Article
- A scoping review on pediatric sepsis prediction technologies in healthcare.NPJ digital medicine · 2024Article
- Predictive gene expression signature diagnoses neonatal sepsis before clinical presentation.EBioMedicine · 2024Article
- AI Algorithms for Modeling the Risk, Progression, and Treatment of Sepsis, Including Early-Onset Sepsis-A Systematic Review.Journal of clinical medicine · 2024Review
- Machine Learning: A Potential Therapeutic Tool to Facilitate Neonatal Therapeutic Decision Making.Paediatric drugs · 2024Review
- Impact of Physician Characteristics on Late-Onset Sepsis (LOS) Evaluation in the NICU.Healthcare (Basel, Switzerland) · 2024Article
- Early diagnosis and management of neonatal sepsis: a perspective.World journal of pediatrics : WJP · 2024Article
- Early peripheral perfusion index predicts 28-day outcome in patients with septic shock.World journal of emergency medicine · 2024Article
- Tackling Neonatal Sepsis-Can It Be Predicted?International journal of environmental research and public health · 2023Article
- An Analysis of Predictive Factors for Severe Neonatal Infection and the Construction of a Prediction Model.Infection and drug resistance · 2023Article
- Clinical Value of Laboratory Biomarkers for the Diagnosis and Early Identification of Culture-Positive Sepsis in Neonates.Journal of inflammation research · 2023Article
- Utilizing big data from electronic health records in pediatric clinical care.Pediatric research · 2023Review
- Establishment and evaluation of animal models of sepsis-associated encephalopathy.World journal of emergency medicine · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPrediction modelling can greatly assist the health-care professionals in the management of diseases, thus sparking interest in neonatal sepsis diagnosis. The main objective of the study was to provide a complete picture of performance of prediction models for early detection of neonatal sepsis.
methodsPubMed, Scopus, CINAHL databases were searched and articles which used various prediction modelling measures for the early detection of neonatal sepsis were comprehended. Data extraction was carried out based on Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies checklist. Extricate data consisted of objective, study design, patient characteristics, type of statistical model, predictors, outcome, sample size and location. Prediction model Risk of Bias Assessment Tool was applied to gauge the risk of bias of the articles.
resultsAn aggregate of ten studies were included in the review among which eight studies had applied logistic regression to build a prediction model, while the remaining two had applied artificial intelligence. Potential predictors like neonatal fever, birth weight, foetal morbidity and gender, cervicovaginitis and maternal age were identified for the early detection of neonatal sepsis. Moreover, birth weight, endotracheal intubation, thyroid hypofunction and umbilical venous catheter were promising factors for predicting late-onset sepsis; while gestational age, intrapartum temperature and antibiotics treatment were utilised as budding prognosticators for early-onset sepsis detection.
conclusionPrediction modelling approaches were able to recognise promising maternal, neonatal and laboratory predictors in the rapid detection of early and late neonatal sepsis and thus, can be considered as a novel way for clinician decision-making towards the disease diagnosis if not used alone, in the years to come.
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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.