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Mar 14, 2024 (publication date) through May 12, 2025
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Publication Name
World Journal of Gastroenterology
ISSN
1007-9327
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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
| For: | Yang F, Windsor JA, Fu DL. Optimizing prediction models for pancreatic fistula after pancreatectomy: Current status and future perspectives. World J Gastroenterol 2024; 30(10): 1329-1345 [PMID: 38596504 DOI: 10.3748/wjg.v30.i10.1329] |
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| URL: | https://www.wjgnet.com/2150-5330/full/v30/i10/1329.htm |
| Number | Citing Articles |
| 1 |
Johannes D. Kaiser, Franziska Bräuherr, Esther A. Biesel, Sophia Chikhladze, Stefan Fichtner-Feigl, Dietrich A. Ruess, Uwe A. Wittel. Preoperative prediction of postoperative pancreatic fistula after Pancreaticoduodenectomy: Determination and validation of a cut-off value for the Roberts Score. The American Journal of Surgery 2025; 245: 116356 doi: 10.1016/j.amjsurg.2025.116356
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| 2 |
Xuanna Zhao, Yunan Wang, Jiahua Li, Weiliang Liu, Yuting Yang, Youping Qiao, Jinyu Liao, Min Chen, Dongming Li, Bin Wu, Dan Huang, Dong Wu. A machine-learning-derived online prediction model for depression risk in COPD patients: A retrospective cohort study from CHARLS. Journal of Affective Disorders 2025; 377: 284 doi: 10.1016/j.jad.2025.02.063
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Mikhail B Potievskiy, Leonid O Petrov, Sergei A Ivanov, Pavel V Sokolov, Vladimir S Trifanov, Nikolai A Grishin, Ruslan I Moshurov, Peter V Shegai, Andrei D Kaprin. Machine learning for modeling and identifying risk factors of pancreatic fistula. World Journal of Gastrointestinal Oncology 2025; 17(4): 100089 doi: 10.4251/wjgo.v17.i4.100089
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| 4 |
Chenxi Wang, Huichuan Tian, Jin Shang. Exploration and perspectives on postoperative hyperlipasemia as a predictor of pancreatic fistula. Surgery 2025; 181: 109025 doi: 10.1016/j.surg.2024.109025
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| 5 |
Qianchang Wang, Zhe Wang, Fangfeng Liu, Zhengjian Wang, Qingqiang Ni, Hong Chang. Machine learning-based prediction of postoperative pancreatic fistula after laparoscopic pancreaticoduodenectomy. BMC Surgery 2025; 25(1) doi: 10.1186/s12893-025-02935-4
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