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Cited by in CrossRef
For: Shi N, Sun GD, Ji YY, Wang Y, Zhu YC, Xie WQ, Li NN, Han QY, Qi ZD, Huang R, Li M, Yang ZY, Zheng JB, Zhang X, Dai QQ, Hou GY, Liu YS, Wang HL, Gao Y. Effects of acute kidney injury on acute pancreatitis patients’ survival rate in intensive care unit: A retrospective study. World J Gastroenterol 2021; 27(38): 6453-6464 [PMID: 34720534 DOI: 10.3748/wjg.v27.i38.6453]
URL: https://www.wjgnet.com/1007-9327/full/v27/i38/6453.htm
Number Citing Articles
1
凤莲 张. Research Progress in Severity and Prognosis Evaluation Indicators of Acute PancreatitisAdvances in Clinical Medicine 2022; 12(07): 6659 doi: 10.12677/ACM.2022.127961
2
Xiao-Yu Xu, Yang Gao, Chuang-Shi Yue, Yu-Jia Tang, Zhao-Jin Zhang, Feng-Jie Xie, Hong Zhang, Yu-Cheng Zhu, Yan Zhang, Qi-Qi Lai, Xin-Tong Wang, Jia-Xi Xu, Jia-Ning Zhang, Bo-Wen Liu, Jian-Nan Zhang, Kai Kang. Predictive and Prognostic Potentials of Lymphocyte-C-Reactive Protein Ratio Upon Hospitalization in Adult Patients with Acute PancreatitisJournal of Inflammation Research 2024; : 1659 doi: 10.2147/JIR.S450587
3
Wen Wu, Yu-Pei Zhang, Yu-Meng Pan, Zhen-Jie He, Yan-Ping Tan, Ding-Deng Wang, Xing-Guang Qu, Zhao-Hui Zhang. Predictive Value of C-Reactive Protein/Albumin Ratio for Acute Kidney Injury in Patients with Acute PancreatitisJournal of Inflammation Research 2024; : 5495 doi: 10.2147/JIR.S473466
4
超 谭. Predictive Value of Renal Resistance Index Combined with uNGAL and CysC on Renal Injury in Acute PancreatitisAdvances in Clinical Medicine 2022; 12(07): 6695 doi: 10.12677/ACM.2022.127966
5
Darshan B. Patel, Amanda C. Farris, Christian Hanna, Faris Hashim. Concurrent acute kidney injury and pancreatitis in a female patient: AnswersPediatric Nephrology 2023; 38(4): 1047 doi: 10.1007/s00467-022-05665-4
6
Huma Sabir Khan, Mahmood Ayyaz, Muhammad Hanif. Peak Serum Creatinine as a Biomarker of Pancreatic Necrosis in Acute Pancreatitis: A Cross-Sectional StudyPakistan Journal of Health Sciences 2024; : 163 doi: 10.54393/pjhs.v5i07.1703
7
Yisong Cheng, Jie Yang, Qin Wu, Lili Cao, Bo Wang, Xiaodong Jin, Yan Kang, Zhongwei Zhang, Min He. Machine Learning for the Prediction of Acute Kidney Injury in Patients with Acute Pancreatitis Admitted to the Intensive Care UnitSSRN Electronic Journal 2022;  doi: 10.2139/ssrn.4116276
8
Kai Kang, Yunpeng Luo, Yang Gao, Jiannan Zhang, Changsong Wang, Dongsheng Fei, Wei Yang, Xianglin Meng, Ming Ye, Yan Gao, Haitao Liu, Xue Du, Yuanyuan Ji, Jieling Wei, Wanqiu Xie, Jun Wang, Mingyan Zhao, Kaijiang Yu. Continuous Renal Replacement Therapy With oXiris Filter May Not be an Effective Resolution to Alleviate Cytokine Release Syndrome in Non-AKI Patients With Severe and Critical COVID-19Frontiers in Pharmacology 2022; 13 doi: 10.3389/fphar.2022.817793
9
Simin Wu, Qin Zhou, Yang Cai, Xiangjie Duan. Development and validation of a prediction model for the early occurrence of acute kidney injury in patients with acute pancreatitisRenal Failure 2023; 45(1) doi: 10.1080/0886022X.2023.2194436
10
Yisong Cheng, Jie Yang, Qin Wu, Lili Cao, Bo Wang, Xiaodong Jin, Yan Kang, Zhongwei Zhang, Min He. Machine learning for the prediction of acute kidney injury in patients with acute pancreatitis admitted to the intensive care unitChinese Medical Journal 2023;  doi: 10.1097/CM9.0000000000002531
11
Paulina Dumnicka, Małgorzata Mazur-Laskowska, Piotr Ceranowicz, Mateusz Sporek, Witold Kolber, Joanna Tisończyk, Marek Kuźniewski, Barbara Maziarz, Beata Kuśnierz-Cabala. Acute Changes in Serum Creatinine and Kinetic Glomerular Filtration Rate Estimation in Early Phase of Acute PancreatitisJournal of Clinical Medicine 2022; 11(20): 6159 doi: 10.3390/jcm11206159
12
Hongxin Kang, Yue Yang, Lv Zhu, Xianlin Zhao, Juan Li, Wenfu Tang, Meihua Wan. Role of neutrophil extracellular traps in inflammatory evolution in severe acute pancreatitisChinese Medical Journal 2023;  doi: 10.1097/CM9.0000000000002359
13
Shengwei Lin, Wenbin Lu, Ting Wang, Ying Wang, Xueqian Leng, Lidan Chi, Peipei Jin, Jinjun Bian. Predictive model of acute kidney injury in critically ill patients with acute pancreatitis: a machine learning approach using the MIMIC-IV databaseRenal Failure 2024; 46(1) doi: 10.1080/0886022X.2024.2303395