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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/1948-9366/full/v14/i12/1363.htm
Number Citing Articles
1
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
2
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
3
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
4
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