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] |
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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 imaging. World Journal of Radiology 2023; 15(6): 157-169 doi: 10.4329/wjr.v15.i6.157
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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‐analysis. Journal of Evidence-Based Medicine 2023; 16(4): 465 doi: 10.1111/jebm.12565
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3 |
Dustin R. Fraidenburg. We are all in this together: Understanding organ crosstalk in the pathogenesis of acute respiratory distress syndrome. Pulmonary Circulation 2024; 14(3) doi: 10.1002/pul2.12418
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4 |
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 study. Medicine 2023; 102(29): e34399 doi: 10.1097/MD.0000000000034399
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5 |
Ling-Ji Song, Bo Xiao. Medical imaging for pancreatic diseases: Prediction of severe acute pancreatitis complicated with acute respiratory distress syndrome. World Journal of Gastroenterology 2022; 28(44): 6206-6212 doi: 10.3748/wjg.v28.i44.6206
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6 |
Rufa Zhang, Minyue Yin, Anqi Jiang, Shihou Zhang, Xiaodan Xu, Luojie Liu. Automated machine learning for early prediction of acute kidney injury in acute pancreatitis. BMC Medical Informatics and Decision Making 2024; 24(1) doi: 10.1186/s12911-024-02414-5
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