REVIEW article
Front. Nutr.
Sec. Clinical Nutrition
Volume 12 - 2025 | doi: 10.3389/fnut.2025.1662409
This article is part of the Research TopicNutritional Status and Nutritional Support in Hospitalized PatientsView all 7 articles
Risk prediction models for enteral nutrition feeding intolerance in critically ill patients:an Overview of systematic reviews
Provisionally accepted
- Shandong Provincial Hospital, Jinan, China
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Objective: To evaluate the systematic reviews of a risk prediction model for enteral nutrition feeding intolerance in critically ill patients. Methods: We registered the protocol for this overview in PROSPERO. Computer searches were conducted on the PubMed, Embase, Web of Science, Cochrane Library, CINAHL, Embase databases China National Knowledge Infrastructure (CNKI), Wanfang Database and SinoMed to search for systematic reviews related to the study. Two investigators independently screened the literature, extracted information, and used the Risk of Bias in Systematic Reviews (ROBIS) tool to assess the risk of bias of the retrieved systematic reviews. Results: Eight systematic reviews were included, total of 115 prediction models, with more than half of the predictive models (71/115 = 61.7%) having undergone internal validation and a small number (36/115 = 31.3%) having undergone external validation. Of the quality evaluations, two were at low risk of bias, six were at high risk, and the overall risk of bias was high. Discussion: The completeness of reporting and methodological quality of systematic reviews of prediction models for enteral nutrition feeding intolerance in critically ill patients were inconsistent and lacked specific quality standards. There is an urgent need for standardized reporting and quality criteria to improve the quality of prediction models for enteral nutrition feeding intolerance in ICU patients.
Keywords: Enteral Nutrition, Feeding intolerance, Risk prediction model, Systematic review, Meta-analysis, Critical Care
Received: 09 Jul 2025; Accepted: 12 Sep 2025.
Copyright: © 2025 Zhou, Zhang, Fan, Wei, Wang and Liu. 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: Congcong Liu, liucongcong1988@126.com
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