Academic Content and Language Evaluation of This Article
CrossCheck and Google Search of This Article
Academic Rules and Norms of This Article
Citation of this article
Corresponding Author of This Article
Research Domain of This Article
Article-Type of This Article
Open-Access Policy of This Article
Times Cited Counts in Google of This Article
Number of Hits and Downloads for This Article
- Total Article Views (8484)
All Articles published online
|
Featured Article
|
Publishing Process of This Article
|
Oct 14, 2021 (publication date) through Feb 14, 2025
Times Cited of This Article
Journal Information of This Article
Publication Name
World Journal of Gastroenterology
ISSN
1007-9327
Publisher of This Article
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
| 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: PMC8517775 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 Pancreatitis. Advances in Clinical Medicine 2022; 12(07): 6659 doi: 10.12677/ACM.2022.127961
|
| 2 |
Qiulong Wang, Juantao Lv, Dongdong Chen, Xiaojun Yang. An early warning model for predicting major adverse kidney events within 30 days in acute pancreatitis patients. Renal Failure 2024; 46(2) doi: 10.1080/0886022X.2024.2424468
|
| 3 |
Ying Wang, Yang Gao, Lin Zhao, Kai Kang. Continuous renal replacement therapy in combination with oXiris haemofilter in a paediatric patient with sodium valproate-induced acute pancreatitis. BMJ Case Reports 2025; 18(2): e258126 doi: 10.1136/bcr-2023-258126
|
| 4 |
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 Pancreatitis. Journal of Inflammation Research 2024; : 1659 doi: 10.2147/JIR.S450587
|
| 5 |
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 Pancreatitis. Journal of Inflammation Research 2024; : 5495 doi: 10.2147/JIR.S473466
|
| 6 |
超 谭. Predictive Value of Renal Resistance Index Combined with uNGAL and CysC on Renal Injury in Acute Pancreatitis. Advances in Clinical Medicine 2022; 12(07): 6695 doi: 10.12677/ACM.2022.127966
|
| 7 |
Darshan B. Patel, Amanda C. Farris, Christian Hanna, Faris Hashim. Concurrent acute kidney injury and pancreatitis in a female patient: Answers. Pediatric Nephrology 2023; 38(4): 1047 doi: 10.1007/s00467-022-05665-4
|
| 8 |
Huma Sabir Khan, Mahmood Ayyaz, Muhammad Hanif. Peak Serum Creatinine as a Biomarker of Pancreatic Necrosis in Acute Pancreatitis: A Cross-Sectional Study. Pakistan Journal of Health Sciences 2024; : 163 doi: 10.54393/pjhs.v5i07.1703
|
| 9 |
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 Unit. SSRN Electronic Journal 2022; doi: 10.2139/ssrn.4116276
|
| 10 |
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-19. Frontiers in Pharmacology 2022; 13 doi: 10.3389/fphar.2022.817793
|
| 11 |
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 pancreatitis. Renal Failure 2023; 45(1) doi: 10.1080/0886022X.2023.2194436
|
| 12 |
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 unit. Chinese Medical Journal 2023; doi: 10.1097/CM9.0000000000002531
|
| 13 |
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 Pancreatitis. Journal of Clinical Medicine 2022; 11(20): 6159 doi: 10.3390/jcm11206159
|
| 14 |
Xuehong Zhou, Shoubing Jin, Dong Wu, Wantong Su. Serum magnesium levels and the risk of acute kidney injury in ICU patients with acute pancreatitis: A MIMIC-IV cohort study. Science Progress 2025; 108(1) doi: 10.1177/00368504251319648
|
| 15 |
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 pancreatitis. Chinese Medical Journal 2023; doi: 10.1097/CM9.0000000000002359
|
| 16 |
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 database. Renal Failure 2024; 46(1) doi: 10.1080/0886022X.2024.2303395
|