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Cited by in CrossRef
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]
URL: https://www.wjgnet.com/2150-5349/full/v14/i12/1363.htm
Number Citing Articles
1
Jing Xu, Wenyu Shi, Liying Xie, Jing Xu, Lanzheng Bian. Feeding Intolerance in Critically Ill Patients with Enteral Nutrition: A Meta-Analysis and Systematic ReviewThe Journal of Critical Care Medicine 2024; 10(1): 7 doi: 10.2478/jccm-2024-0007
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 AAmerican Journal of Critical Care 2025; 34(1): 67 doi: 10.4037/ajcc2025349
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 studyClinical Nutrition 2023; 42(12): 2293 doi: 10.1016/j.clnu.2023.10.003
4
Hui Yang, Jinmei Liu, Hongyan Sun. Risk prediction model for adult intolerance to enteral nutrition feeding – A literature reviewThe American Journal of the Medical Sciences 2024;  doi: 10.1016/j.amjms.2024.11.012
5
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 StudyJournal of Clinical Nursing 2025;  doi: 10.1111/jocn.17660
6
Pierre Singer, Eyal Robinson, Orit Raphaeli. Gastrointestinal failure, big data and intensive careCurrent Opinion in Clinical Nutrition & Metabolic Care 2023; 26(5): 476 doi: 10.1097/MCO.0000000000000961
7
Pierre Singer, Eyal Robinson, Orit Raphaeli. The future of artificial intelligence in clinical nutritionCurrent Opinion in Clinical Nutrition & Metabolic Care 2024; 27(2): 200 doi: 10.1097/MCO.0000000000000977
8
Mette M. Berger, Annika Reintam Blaser, Orit Raphaeli, Pierre Singer. Early Feeding in Critical Care - Where Are We Now?Critical Care Clinics 2024;  doi: 10.1016/j.ccc.2024.09.002
9
Miriam Theilla, Orit Raphaeli, Eyal Robinson, Pierre Singer. Nutrition, Metabolism and Kidney Support2024; : 149 doi: 10.1007/978-3-031-66541-7_14
10
Ying Lin, Xiaomin Wang, Lingyan Li, Yun Gou, Liping Zhang, Lijing Wang, Junhong Yang. Nomogram to predict feeding intolerance in critically ill childrenEuropean Journal of Pediatrics 2023; 182(12): 5293 doi: 10.1007/s00431-023-05205-8
11
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-analysisFrontiers in Nutrition 2025; 11 doi: 10.3389/fnut.2024.1522911