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Cited by in F6Publishing
For: Wu Q, Wang J, Qin M, Yang H, Liang Z, Tang G. Accuracy of conventional and novel scoring systems in predicting severity and outcomes of acute pancreatitis: a retrospective study. Lipids Health Dis 2021;20:41. [PMID: 33906658 DOI: 10.1186/s12944-021-01470-4] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Wang H, Lü M, Li W, Shi J, Peng L. Early Predictive Value of Different Indicators for Persistent Organ Failure in Acute Pancreatitis: A Systematic Review and Network Meta-Analysis. J Clin Gastroenterol 2023. [PMID: 36930726 DOI: 10.1097/MCG.0000000000001843] [Reference Citation Analysis]
2 Yin M, Zhang R, Zhou Z, Liu L, Gao J, Xu W, Yu C, Lin J, Liu X, Xu C, Zhu J. Automated Machine Learning for the Early Prediction of the Severity of Acute Pancreatitis in Hospitals. Front Cell Infect Microbiol 2022;12:886935. [PMID: 35755847 DOI: 10.3389/fcimb.2022.886935] [Reference Citation Analysis]
3 Tang J, Chen T, Ni W, Chen X. Dynamic nomogram for persistent organ failure in acute biliary pancreatitis: Development and validation in a retrospective study. Dig Liver Dis 2022;54:805-11. [PMID: 34305014 DOI: 10.1016/j.dld.2021.06.033] [Reference Citation Analysis]
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