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/1948-9366/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 Review. The Journal of Critical Care Medicine 2024; 10(1): 7 doi: 10.2478/jccm-2024-0007
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2 |
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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3 |
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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4 |
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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5 |
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
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6 |
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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7 |
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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