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Cited by in CrossRef
For: Liu ZY, Tian L, Sun XY, Liu ZS, Hao LJ, Shen WW, Gao YQ, Zhai HH. Development and validation of a risk prediction score for the severity of acute hypertriglyceridemic pancreatitis in Chinese patients. World J Gastroenterol 2022; 28(33): 4846-4860 [PMID: 36156930 DOI: 10.3748/wjg.v28.i33.4846]
URL: https://www.wjgnet.com/1007-9327/full/v28/i33/4846.htm
Number Citing Articles
1
Hang Chen, Yao Wen, Xinya Li, Xia Li, Liping Su, Xinglan Wang, Fang Wang, Dan Liu. Integrating CT-based radiomics and clinical features to better predict the prognosis of acute pancreatitisInsights into Imaging 2025; 16(1) doi: 10.1186/s13244-024-01887-2
2
Hai-Fu Zhang, Ze-Xuan Su, Yong-Hang Feng, Shuo-Jun Li, Bi-Yun Xie. Chaiqin Chengqi Decoction as an adjuvant treatment for mild/moderately severe hypertriglyceridemic acute pancreatitis: A retrospective studyWorld Journal of Clinical Cases 2024; 12(11): 1918-1928 doi: 10.12998/wjcc.v12.i11.1918
3
D. V. Cherdantsev, I. G. Noskov, E. G. Takhtobin. Imaging modalities for necrotizing pancreatitis: what’s new (literature review)Acta Biomedica Scientifica 2025; 10(4) doi: 10.29413/ABS.2025-10.4.20
4
Qingcheng Zhu, Wenzhen Zhou, Bingyu Ling, Huihui Wang, Dingyu Tan. High-flow nasal cannula oxygen therapy is equally effective to noninvasive ventilation for mild-moderate acute respiratory distress syndrome in patients with acute pancreatitis: A single-center, retrospective cohort studySaudi Journal of Gastroenterology 2024; 30(5) doi: 10.4103/sjg.sjg_24_24
5
Ali Hassan, Sheikh Atiq-Ur- Rehman, Muhammad Ansar Alvi. Comparison Between Ranson Criteria And Modified Computed Tomography Severity Index In Predicting The Acute PancreatitisBiological and Clinical Sciences Research Journal 2025; 6(11) doi: 10.54112/bcsrj.v6i11.2218
6
I.V. Kolosovych , M.A. Bystrytska , I.V. Hanol . MATHEMATICAL MODEL FOR PREDICTING THE SEVERITY OF THE COURSE OF ACUTE PANCREATITISMedical Science of Ukraine (MSU) 2023; 19(2) doi: 10.32345/2664-4738.2.2023.05
7
Yixiu Hao, Jiajun Feng, Wenjuan He, Yongshun Wu, Ying Ma, Honggang Xu. A Clinical and Imaging-based Model for Distinguishing Mild From Moderately Severe/Severe Hypertriglyceridemic Acute Pancreatitis: Development and ValidationJournal of Computer Assisted Tomography 2026; 50(1) doi: 10.1097/RCT.0000000000001791
8
Longhui Kou, Huan Li, Wei Li, Xin Cheng, Yi Li, Bolun Zhang, Weitian Xu, Hui Long, Qingming Wu. Development and validation of a predictive model for the severity of hyperlipidemic acute pancreatitis based on the bedside index for severity in acute pancreatitis and metabolic score for insulin resistance: A retrospective cohort studyJournal of International Medical Research 2026; 54(7) doi: 10.1177/03000605261467013
9
Hongsheng Wu, Biling Liao, Tengfei Ji, Shichao Jia, Yumei Luo, Keqiang Ma. Retracted: A nomogram for predicting in-hospital overall survival of hypertriglyceridemia-induced severe acute pancreatitis: A single center, cross-sectional studyHeliyon 2024; 10(1) doi: 10.1016/j.heliyon.2023.e23454
10
Jiangtao Yu, Chunlong Liu, Jian Zhang, Xiangyu Wang, Kun Song, Panpan Wu, Fubao Liu. Global, regional, and national burden of pancreatitis in older adults, 1990–2019: A systematic analysis for the global burden of disease study 2019Preventive Medicine Reports 2024; 41 doi: 10.1016/j.pmedr.2024.102722
11
Dalma Dobszai, Mahmoud Obeidat, Eszter Ágnes Szalai, Dániel Sándor Veres, Luca Havelda, Renáta Papp, Alim Choi, Bettina Csilla Budai, Dominika Csajbók, Péter Hegyi, Andrea Szentesi. Metabolic syndrome components individually worsen the outcome of acute pancreatitis: a systematic review and meta-analysisFrontiers in Endocrinology 2025; 16 doi: 10.3389/fendo.2025.1690754
12
Yanting Li, Yuan Wang, Xiyao Wan, Xiaohua Huang. Radiomics derived from MRI T2-weighted imaging combined with clinical variables for predicting disease severity in hypertriglyceridemic acute pancreatitisAbdominal Radiology 2026;  doi: 10.1007/s00261-026-05487-0
13
Yanrong Yao, Bo Yuan, Kai Wang, Chensi Zhao, Jiazheng Yang, Jingli Liu, Zuozheng Wang, Yujing Gao. An explainable machine learning framework integrating clinical and lipidomic signatures for early severity stratification of hypertriglyceridemic pancreatitisFrontiers in Medicine 2026; 13 doi: 10.3389/fmed.2026.1880402
14
Qiuting Peng, Yunxiang Long, Kun Yang, Kaibo Yang, Jia Jia, Senyi Hu, Chang Liu, Kai Qu, Ting Lin. Prognostic analysis of acute pancreatitis due to different etiologies and establishment and validation of an early prediction modelLipids in Health and Disease 2026; 25(1) doi: 10.1186/s12944-026-02890-w
15
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;  doi: 10.2147/JIR.S489044
16
Shanshan Qi, Wenjie Chen, Song Yang, Sibo Wang, Tongtian Ni, Dan Xu, Zhitao Yang, Enqiang Mao, Erzhen Chen, Ying Chen. A web-based dynamic nomogram integrating inflammatory and metabolic indicators for predicting prolonged hospital stay in patients with hypertriglyceridemia-induced acute pancreatitisEuropean Journal of Medical Research 2026; 31(1) doi: 10.1186/s40001-026-04619-y
17
Zeng-Hui Ma, Xue-Ni Ma, Hong-Wen Zhu, Long Cheng, Ling-Zhu Gou, De-Kui Zhang. Clinical significance of peripheral blood DDR1 and CtBP gene methylation detection in patients with acute pancreatitisEpigenetics 2024; 19(1) doi: 10.1080/15592294.2024.2421631
18
Ze-Yun Cao, Xun Zou, Hong-Li Li, Xuan Kong, Li-Long Pan, Jun Yang, Xiao-Liang Dong. Phenyllactic Acid Restores Intestinal Epithelial Barrier to Alleviate Hypertriglyceridemic Acute Pancreatitis via a PPARγ-Dependent MechanismAntioxidants 2026; 15(6) doi: 10.3390/antiox15060676
19
Xueyi Lin, Xin Zhang, Li Fan, Hui Qin, Min Lin. MARCH9 is Down-Regulated and Negatively Correlates with Severity, NLRP3 Inflammasome Expression and NLRP3 Inflammasome-Derived Inflammatory Cytokines Expression in Acute Pancreatitis PatientsBratislava Medical Journal 2025; 126(8) doi: 10.1007/s44411-025-00169-7
20
Yuan Wang, Xiyao Wan, Yawen Zhang, Ziyan Liu, Ziyi Liu, Mengyue Tang, Xiaohua Huang. Utilizing MRI Radiomics and Clinical Features to Predict Severe Acute Pancreatitis in Patients with Metabolic SyndromeJournal of Inflammation Research 2025;  doi: 10.2147/JIR.S539688