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Cited by in CrossRef
For: Yang DJ, Lu HM, Liu Y, Li M, Hu WM, Zhou ZG. Development and validation of a prediction model for moderately severe and severe acute pancreatitis in pregnancy. World J Gastroenterol 2022; 28(15): 1588-1600 [PMID: 35582133 DOI: 10.3748/wjg.v28.i15.1588]
URL: https://www.wjgnet.com/1007-9327/full/v28/i15/1588.htm
Number Citing Articles
1
Kaier Gu, Qianchun Wang. Establishment and Validation of a Dynamic Nomogram for Persistent Organ Failure in Acute Biliary Pancreatitis: A Retrospective StudyJournal of Inflammation Research 2024; : 8513 doi: 10.2147/JIR.S489044
2
Xiaoying Zhou, Shengchun Jin, Jingyi Pan, Qingyi Lin, Shaopeng Yang, Yajing Lu, Minhao Qiu, Peter C. Ambe, Zarrin Basharat, Vincent Zimmer, Wei Wang, Wandong Hong. Relationship between Cholesterol-Related Lipids and Severe Acute Pancreatitis: From Bench to BedsideJournal of Clinical Medicine 2023; 12(5): 1729 doi: 10.3390/jcm12051729
3
Wenyan Liao, Guangwei Tao, Guodong Chen, Jun He, Chunfen Yang, Xiaohua Lei, Shuo Qi, Jiafeng Hou, Yi Xie, Can Feng, Xinmiao Jiang, Xin Deng, Chengming Ding. A novel clinical prediction model of severity based on red cell distribution width, neutrophil-lymphocyte ratio and intra-abdominal pressure in acute pancreatitis in pregnancyBMC Pregnancy and Childbirth 2023; 23(1) doi: 10.1186/s12884-023-05500-0
4
Li-Fen Mei, Quan Gan, Jing Hu, Yun-Xiang Li, Rui Tian, Cheng-Jian Shi. Assessment of early factors for identification or prediction severe acute pancreatitis in pregnancyWorld Journal of Clinical Cases 2024; 12(24): 5502-5512 doi: 10.12998/wjcc.v12.i24.5502
5
Jifeng Liu, Lei Zhong, Yunshu Zhang, Jingyuan Ma, Tong Xie, Xu Chen, Biao Zhang, Dong Shang. Identification of novel biomarkers based on lipid metabolism-related molecular subtypes for moderately severe and severe acute pancreatitisLipids in Health and Disease 2024; 23(1) doi: 10.1186/s12944-023-01972-3
6
Xiaowei Tang, Yuan Chen, Shu Huang, Jiao Jiang, Bei Luo, Wensen Ren, Xueqin Zhou, Xiaomin Shi, Wei Zhang, Lei Shi, Xiaolin Zhong, Muhan Lü. Acute Pancreatitis in Pregnancy: A Propensity Score Matching Analysis and Dynamic Nomogram for Risk AssessmentDigestive Diseases and Sciences 2024; 69(6): 2235 doi: 10.1007/s10620-024-08415-8
7
Agnieszka Mądro. Pancreatitis in Pregnancy—Comprehensive ReviewInternational Journal of Environmental Research and Public Health 2022; 19(23): 16179 doi: 10.3390/ijerph192316179
8
Deshuai Kong, Zhang Lei, Zhenyong Wang, Meng Yu, Jinchao Li, Wei Chai, Xiulei Zhao. A novel HCP (heparin-binding protein-C reactive protein-procalcitonin) inflammatory composite model can predict severe acute pancreatitisScientific Reports 2023; 13(1) doi: 10.1038/s41598-023-36552-z
9
Suwan Dai, Yingchun Ren, Lingyan Chen, Min Wu, Rong Wang, Qinghe Zhou. Machine learning-based prediction of the risk of moderate-to-severe catheter-related bladder discomfort in general anaesthesia patients: a prospective cohort studyBMC Anesthesiology 2024; 24(1) doi: 10.1186/s12871-024-02720-5
10
Alberto Maringhini, Margherita Rossi, Rosalia Patti, Marco Maringhini, Valerio Vassallo. Acute Pancreatitis during and after Pregnancy: A ReviewJournal of Clinical Medicine 2024; 13(7): 2028 doi: 10.3390/jcm13072028
11
Qun-Ying Yang, Jian-Wen Hu. Prediction of moderately severe and severe acute pancreatitis in pregnancy: Several issuesWorld Journal of Gastroenterology 2022; 28(33): 4926-4928 doi: 10.3748/wjg.v28.i33.4926
12
Bo Li, Weiqing Wu, Aijun Liu, Lifeng Feng, Bin Li, Yong Mei, Li Tan, Chaoyang Zhang, Yangtao Tian. Establishment and Validation of a Nomogram Prediction Model for the Severe Acute PancreatitisJournal of Inflammation Research 2023; : 2831 doi: 10.2147/JIR.S416411