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Dec 27, 2022 (publication date) through Feb 18, 2026
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Publication Name
World Journal of Gastrointestinal Surgery
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1948-9366
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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
| Lu XM, Jia DS, Wang R, Yang Q, Jin SS, Chen L. Development of a prediction model for enteral feeding intolerance in intensive care unit patients: A prospective cohort study. World J Gastrointest Surg 2022; 14(12): 1363-1374 [PMID: 36632121 DOI: 10.4240/wjgs.v14.i12.1363] |
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| ©2004-2026 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA | |
| For: | Lu XM, Jia DS, Wang R, Yang Q, Jin SS, Chen L. Development of a prediction model for enteral feeding intolerance in intensive care unit patients: A prospective cohort study. World J Gastrointest Surg 2022; 14(12): 1363-1374 [PMID: 36632121 DOI: 10.4240/wjgs.v14.i12.1363] |
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| URL: | https://www.wjgnet.com/2150-5330/full/v14/i12/1363.htm |
| Number | Citing Articles |
| 1 |
Youquan Wang, Yanhua Li, Hongxiang Li, Nan Li, Xinyu Li, Dongfang Lv, Lingling Bao, Xuewen Feng, Lu Ke, Dong Zhang. External validation of the feeding intolerance prediction model (NOFI) in critically ill patients: A post hoc analysis of a large-scale randomized controlled trial. Journal of Intensive Medicine 2026; doi: 10.1016/j.jointm.2025.12.004
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| 2 |
Annette Bourgault, Ilana Logvinov, Chang Liu, Rui Xie, Jan Powers, Mary Lou Sole. Use of Machine Learning Models to Predict Microaspiration Measured by Tracheal Pepsin A. American Journal of Critical Care 2025; 34(1): 67 doi: 10.4037/ajcc2025349
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| 3 |
Youquan Wang, Yanhua Li, Huimei Wang, Hongxiang Li, Yuting Li, Liying Zhang, Chaoyang Zhang, Meng Gao, Nan Zhang, Dong Zhang. Development and validation of a nomogram for predicting enteral feeding intolerance in critically ill patients (NOFI): Mixed retrospective and prospective cohort study. Clinical Nutrition 2023; 42(12): 2293 doi: 10.1016/j.clnu.2023.10.003
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| 4 |
Mingwei Zhong, Jianhuang Zheng, Ruwei Huang, Zhizhao Jiang, Yizhe Zhong. Exploring the incidence and influencing factors of acute gastrointestinal injury in ICU patients undergoing mechanical ventilation: a retrospective cohort study. BMC Research Notes 2026; 19(1) doi: 10.1186/s13104-026-07643-7
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| 5 |
Zhenfeng Zhou, Jicheng Zhang, Chunmei Fan, Zhengang Wei, Qi Wang, Congcong Liu. Risk prediction models for enteral nutrition feeding intolerance in critically ill patients: an overview of systematic reviews. Frontiers in Nutrition 2025; 12 doi: 10.3389/fnut.2025.1662409
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| 6 |
Hui Yang, Jinmei Liu, Hongyan Sun. Risk prediction model for adult intolerance to enteral nutrition feeding – A literature review. The American Journal of the Medical Sciences 2025; 369(4): 427 doi: 10.1016/j.amjms.2024.11.012
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| 7 |
Rong Yuan, Lei Liu, Jiao Mi, Xue Li, Fang Yang, Shifang Mao. Early prediction of enteral nutrition feeding intolerance risk in neurocritical patients and development of a simplified risk scoring tables. European Journal of Clinical Nutrition 2025; doi: 10.1038/s41430-025-01683-1
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| 8 |
Mette M. Berger, Annika Reintam Blaser, Orit Raphaeli, Pierre Singer. Early Feeding in Critical Care - Where Are We Now?. Critical Care Clinics 2025; 41(2): 213 doi: 10.1016/j.ccc.2024.09.002
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| 9 |
Huijiao Chen, Jin Han, Jing Li, Jianhua Xiong, Dong Wang, Mingming Han, Yuehao Shen, Wenli Lu. Risk prediction models for feeding intolerance in patients with enteral nutrition: a systematic review and meta-analysis. Frontiers in Nutrition 2025; 11 doi: 10.3389/fnut.2024.1522911
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| 10 |
Jing Xu, Wenyu Shi, Liying Xie, Jing Xu, Lanzheng Bian. Feeding Intolerance in Critically Ill Patients with Enteral Nutrition: A Meta-Analysis and Systematic Review. The Journal of Critical Care Medicine 2024; 10(1): 7 doi: 10.2478/jccm-2024-0007
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| 11 |
Gaimei Wang, Cendi Lu, Owusu Mensah Solomon, Yujia Gu, Yijing Ling, Fanchi Xu, Yumin Tao, Yehong Wei. Construction and evaluation of a machine learning-based predictive model for enteral nutrition feeding intolerance risk in ICU patients. Frontiers in Nutrition 2025; 12 doi: 10.3389/fnut.2025.1600319
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| 12 |
Lijie Liu, Jin Li, Liting Hu, Xiaowei Cai, Xiaoyan Li, Yang Bai. Development and Validation of a Prediction Model for Enteral Feeding Intolerance in Critical Ill Patients: A Retrospective Cohort Study. Journal of Clinical Nursing 2025; 34(6): 2336 doi: 10.1111/jocn.17660
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| 13 |
Pierre Singer, Eyal Robinson, Orit Raphaeli. Gastrointestinal failure, big data and intensive care. Current Opinion in Clinical Nutrition & Metabolic Care 2023; 26(5): 476 doi: 10.1097/MCO.0000000000000961
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| 14 |
Pierre Singer, Eyal Robinson, Orit Raphaeli. The future of artificial intelligence in clinical nutrition. Current Opinion in Clinical Nutrition & Metabolic Care 2024; 27(2): 200 doi: 10.1097/MCO.0000000000000977
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| 15 |
Miriam Theilla, Orit Raphaeli, Eyal Robinson, Pierre Singer. Nutrition, Metabolism and Kidney Support. 2024; : 149 doi: 10.1007/978-3-031-66541-7_14
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| 16 |
Ying Lin, Xiaomin Wang, Lingyan Li, Yun Gou, Liping Zhang, Lijing Wang, Junhong Yang. Nomogram to predict feeding intolerance in critically ill children. European Journal of Pediatrics 2023; 182(12): 5293 doi: 10.1007/s00431-023-05205-8
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| 17 |
Xiagang Luan, Yu Lin, Lingling Ke, Junhui Xu, Maomao Xi, Yong Xia, Deyun Wang. Individualized Implementation of Enteral Nutrition Adjusted by Laboratory Indicators and Clinical Parameter Scoring. Journal of Burn Care & Research 2025; doi: 10.1093/jbcr/iraf194
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