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Clinical Study

Early prediction of acute kidney injury after liver transplantation by scoring system and decision tree

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Pages 1137-1145 | Received 12 Oct 2020, Accepted 15 Jun 2021, Published online: 14 Jul 2021

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Zhipeng Wu, Yi Wang, Li He, Boxun Jin, Qinwei Yao, Guangming Li, Xin Wang & Yingmin Ma. (2023) Development of a nomogram for the prediction of acute kidney injury after liver transplantation: a model based on clinical parameters and postoperative cystatin C level. Annals of Medicine 55:2.
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Articles from other publishers (3)

Hanfei Zhang, Amanda Y. Wang, Shukun Wu, Johnathan Ngo, Yunlin Feng, Xin He, Yingfeng Zhang, Xingwei Wu & Daqing Hong. (2022) Artificial intelligence for the prediction of acute kidney injury during the perioperative period: systematic review and Meta-analysis of diagnostic test accuracy. BMC Nephrology 23:1.
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Gennaro Martucci, Matteo Rossetti, Sergio Li Petri, Rossella Alduino, Riccardo Volpes, Giovanna Panarello, Salvatore Gruttadauria, Gaetano Burgio & Antonio Arcadipane. (2022) Continuous Renal Replacement Therapy after Liver Transplantation: Peri-Operative Associated Factors and Impact on Survival. Journal of Clinical Medicine 11:13, pages 3803.
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Jin Ge, W. Ray Kim, Jennifer C. Lai & Allison J. Kwong. (2022) “Beyond MELD” – Emerging strategies and technologies for improving mortality prediction, organ allocation and outcomes in liver transplantation. Journal of Hepatology 76:6, pages 1318-1329.
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