BPG is committed to discovery and dissemination of knowledge
Cited by in CrossRef
For: Li YL, Zhang DD, Xiong YY, Wang RF, Gao XM, Gong H, Zheng SC, Wu D. Development and external validation of models to predict acute respiratory distress syndrome related to severe acute pancreatitis. World J Gastroenterol 2022; 28(19): 2123-2136 [PMID: 35664037 DOI: 10.3748/wjg.v28.i19.2123]
URL: https://www.wjgnet.com/1007-9327/full/v28/i19/2123.htm
Number Citing Articles
1
Ling-Ji Song, Bo Xiao. Acute pancreatitis: Structured report template of magnetic resonance imagingWorld Journal of Radiology 2023; 15(6): 157-169 doi: 10.4329/wjr.v15.i6.157
2
Tao Wei, Siyi Peng, Xuying Li, Jinhua Li, Mengdan Gu, Xiaoling Li. Critical evaluation of established risk prediction models for acute respiratory distress syndrome in adult patients: A systematic review and meta‐analysisJournal of Evidence-Based Medicine 2023; 16(4): 465 doi: 10.1111/jebm.12565
3
Kang Zou, Wensen Ren, Shu Huang, Jiao Jiang, Huan Xu, Xinyi Zeng, Han Zhang, Yan Peng, Muhan Lü, Xiaowei Tang. The role of artificial neural networks in prediction of severe acute pancreatitis associated acute respiratory distress syndrome: A retrospective studyMedicine 2023; 102(29): e34399 doi: 10.1097/MD.0000000000034399
4
Ling-Ji Song, Bo Xiao. Medical imaging for pancreatic diseases: Prediction of severe acute pancreatitis complicated with acute respiratory distress syndromeWorld Journal of Gastroenterology 2022; 28(44): 6206-6212 doi: 10.3748/wjg.v28.i44.6206
5
Rufa Zhang, Minyue Yin, Anqi Jiang, Shihou Zhang, Xiaodan Xu, Luojie Liu. Automated machine learning for early prediction of acute kidney injury in acute pancreatitisBMC Medical Informatics and Decision Making 2024; 24(1) doi: 10.1186/s12911-024-02414-5