SYSTEMATIC REVIEW article
Front. Neurol.
Sec. Pediatric Neurology
Volume 16 - 2025 | doi: 10.3389/fneur.2025.1532014
Risk Prediction Models for Intraventricular Hemorrhage in Preterm Infants: A Systematic Review and Meta-Analysis
Provisionally accepted
- 1chongqing Health college, Chongqing, China
- 2Chengdu University of Traditional Chinese Medicine, Chengdu, China
- 3Deyang Hospital, Affiliated Hospital of Chengdu University of Traditional Chinese Medicine, deyang, China
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Background: As the number of risk prediction models for intraventricular hemorrhage in preterm infants continues to grow, their quality and applicability in clinical practice remain unclear, making it essential to conduct a systematic evaluation of these models. Objective: To systematically evaluate risk prediction models for intraventricular hemorrhage (IVH) in preterm infants. Methods: A comprehensive search of studies on risk prediction models for IVH in preterm infants was conducted in the PubMed, Embase, Web of Science, Cochrane Library, and CINAHL databases, with the search period spanning from the inception of the databases to April 1, 2025. Two researchers independently screened the literature, extracted data, and evaluated the risk of bias and applicability of the models using the Prediction Model Risk of Bias Assessment Tool. Results: A total of 17 studies, comprising 21 risk prediction models, were included. The area under the receiver operating characteristic curve (AUC) for the models ranged from 0.71 to 0.99, indicating overall good performance. However, the models exhibited a high risk of bias, primarily concentrated in the analysis domain, including improper handling of continuous variables and missing data, variable selection based on univariate analysis, and inadequate consideration of overfitting or underfitting issues. Conclusion: While the overall performance of risk prediction models for IVH in preterm infants was good, they carried a high risk of bias. Future research should focus on developing and validating more scientifically sound risk prediction models to aid healthcare professionals in early identification of high-risk preterm infants for IVH.
Keywords: preterm infants, intraventricular hemorrhage, Risk prediction model, Systematic review, Meta-analysis
Received: 27 Nov 2024; Accepted: 20 Jun 2025.
Copyright: © 2025 Zhang, Zhou, HUANG, Zhang, Li, An and Chongcheng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Xuemei An, Deyang Hospital, Affiliated Hospital of Chengdu University of Traditional Chinese Medicine, deyang, China
Xi Chongcheng, Chengdu University of Traditional Chinese Medicine, Chengdu, China
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