For: | Long ZD, Lu C, Xia XG, Chen B, Xing ZX, Bie L, Zhou P, Ma ZL, Wang R. Personal predictive model based on systemic inflammation markers for estimation of postoperative pancreatic fistula following pancreaticoduodenectomy. World J Gastrointest Surg 2022; 14(9): 963-975 [PMID: 36185559 DOI: 10.4240/wjgs.v14.i9.963] |
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URL: | https://www.wjgnet.com/1948-9366/full/v14/i9/963.htm |
Number | Citing Articles |
1 |
Zahraa M. Alhulaili, Ralph J. Linnemann, Larisa Dascau, Rick G. Pleijhuis, Joost M. Klaase. A Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis analysis to evaluate the quality of reporting of postoperative pancreatic fistula prediction models after pancreatoduodenectomy: A systematic review. Surgery 2023; 174(3): 684 doi: 10.1016/j.surg.2023.04.058
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2 |
Feng Yang, John A Windsor, De-Liang Fu. Optimizing prediction models for pancreatic fistula after pancreatectomy: Current status and future perspectives. World Journal of Gastroenterology 2024; 30(10): 1329-1345 doi: 10.3748/wjg.v30.i10.1329
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