World Journal of Gastroenterology - Baishideng Publishing Group

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For:	Luo R, Gao J, Gan W, Xie WB. Clinical-radiomics nomogram for predicting esophagogastric variceal bleeding risk noninvasively in patients with cirrhosis. World J Gastroenterol 2023; 29(6): 1076-1089 [PMID: 36844133 DOI: 10.3748/wjg.v29.i6.1076]
URL:	https://www.wjgnet.com/1007-9327/full/v29/i6/1076.htm

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Number	Citing Articles
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2	Jiewen Chen, Fei Zhang, Shuitian Wu, Disi Liu, Liyang Yang, Meng Li, Ming Yin, Kun Ma, Ge Wen, Weikang Huang. Predictive value of high-risk esophageal varices in cirrhosis based on dual-energy CT combined with clinical and serologic features. BMC Medical Imaging 2025; 25(1) doi: 10.1186/s12880-025-01681-6
3	Ze-Dong Wang, Hui-Jie Nan, Su-Xin Li, Lu-Hao Li, Zhao-Chen Liu, Hua-Hu Guo, Lin Li, Sheng-Yan Liu, Hai Li, Yan-Liang Bai, Xiao-Wei Dang. Development and validation of a radiomics-based prediction model for variceal bleeding in patients with Budd-Chiari syndrome-related gastroesophageal varices. World Journal of Gastroenterology 2025; 31(19): 104563 doi: 10.3748/wjg.v31.i19.104563 Abstract(450) \| Core Tip(445) \| Full Article(HTML)(1686) \| Full Article (PDF)-4163K(187) \| Full Article with Cover (PDF)-4482K(172) \| Full Article (XML)-158K(107) \| Audio-6304K(28) \| Peer-Review Report-369K(98) \| Answering Reviewers-89K(103) \| Supplementary Material-100K(95) \| Times Cited (3) \| Total Visits (2754) \| Open
4	Yu-Jie Peng, Xin Liu, Ying Liu, Xue Tang, Qi-Peng Zhao, Yong Du. Computed tomography-based multi-organ radiomics nomogram model for predicting the risk of esophagogastric variceal bleeding in cirrhosis. World Journal of Gastroenterology 2024; 30(36): 4044-4056 doi: 10.3748/wjg.v30.i36.4044 Abstract(789) \| Core Tip(734) \| Full Article(HTML)(2686) \| Full Article (PDF)-5573K(243) \| Full Article with Cover (PDF)-5988K(231) \| Full Article (XML)-118K(137) \| Audio-400K(14) \| Peer-Review Report-259K(134) \| Answering Reviewers-143K(127) \| Supplementary Material-99K(153) \| Times Cited (14) \| Total Visits (4188) \| Open
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6	Li Xu, Chang Hao, Xian-Lin Han, Yi Wang, Ya-Hong Gong, Guang-Yan Xu. Splenic artery aneurysm with double-rupture phenomenon and circulatory collapse following anesthesia induction: A case report. World Journal of Clinical Oncology 2025; 16(4): 100957 doi: 10.5306/wjco.v16.i4.100957 Abstract(395) \| Core Tip(430) \| Full Article(HTML)(1435) \| Full Article (PDF)-4025K(150) \| Full Article with Cover (PDF)-4201K(150) \| Full Article (XML)-63K(131) \| Audio-543K(20) \| Peer-Review Report-216K(93) \| Answering Reviewers-654K(105) \| Times Cited (1) \| Total Visits (2231) \| Open
7	Zhi-Cheng Fu, Xiao-Feng Lu. Establishment of thromboelastography-guided optimal blood transfusion strategy in patients with esophagogastric variceal bleeding due to liver cirrhosis. World Chinese Journal of Digestology 2025; 33(10) doi: 10.11569/wcjd.v33.i10.797 Abstract(170) \| Core Tip(111) \| Full Article(HTML)(378) \| Times Cited (0) \| Total Visits (558) \| Open
8	Camila Guinazu, Adolfo Fernández Muñoz, Maria D Maldonado, Jeffry A De La Cruz, Domenica Herrera, Victor S Aruana, Ernesto Calderon Martinez. Assessing the Predictive Factors for Bleeding in Esophageal Variceal Disease: A Systematic Review. Cureus 2023; doi: 10.7759/cureus.48954
9	Yuan Lian, Xinping Qiu, Geli Wang, Nannan Liu, Jing Zhao, Shanshan Song, Shiqi Wang, Mingjun Sun. Machine Learning in Predicting the Risk of Esophagogastric Variceal Bleeding Among Patients With Liver Cirrhosis: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2026; 28 doi: 10.2196/78203
10	Qiaoyu Xuan, Xiuquan Shi, Lei Jin, Daiping Hua, Lanting Sun, Wenming Yang, Han Wang. Development and validation of a machine learning model for predicting hypersplenism in Wilson disease patients. Frontiers in Medicine 2026; 13 doi: 10.3389/fmed.2026.1768024
11	Jing Xu, Lin Tan, Ning Jiang, Fengcheng Li, Jinling Wang, Beibei Wang, Shasha Li. Assessment of nomogram model for the prediction of esophageal variceal hemorrhage in hepatitis B-induced hepatic cirrhosis. European Journal of Gastroenterology & Hepatology 2024; 36(6) doi: 10.1097/MEG.0000000000002750
12	Jieyu Peng, Xinyi Zeng, Shu Huang, Han Zhang, Huifang Xia, Kang Zou, Wei Zhang, Xiaomin Shi, Lei Shi, Xiaolin Zhong, Muhan Lü, Yan Peng, Xiaowei Tang. Trends of hospitalisation among new admission inpatients with oesophagogastric variceal bleeding in cirrhosis from 2014 to 2019 in the Affiliated Hospital of Southwest Medical University: a single-centre time-series analysis. BMJ Open 2024; 14(2) doi: 10.1136/bmjopen-2023-074608
13	Xue-Ke Yu, Fen Wang, Ya Zeng, Xiao Liang, Lun-Xi Liang. Establishment and validation of a nomogram for predicting esophagogastric variceal bleeding in patients with liver cirrhosis. World Journal of Gastroenterology 2025; 31(9): 102714 doi: 10.3748/wjg.v31.i9.102714 Abstract(708) \| Core Tip(602) \| Full Article(HTML)(1945) \| Full Article (PDF)-2704K(223) \| Full Article with Cover (PDF)-4060K(174) \| Full Article (XML)-136K(129) \| Audio-1169K(26) \| Peer-Review Report-252K(108) \| Answering Reviewers-165K(115) \| Times Cited (10) \| Total Visits (3343) \| Open
14	Gianluca Rompianesi, Francesca Pegoraro, Bianca Pacilio, Giusy Petti, Gianluca Benassai, Micaela Cappuccio, Roberto Montalti, Roberto Troisi. Role of artificial intelligence in the detection, assessment and outcome of gastroesophageal varices. Artificial Intelligence Surgery 2025; 5(3) doi: 10.20517/ais.2025.09
15	Yi-hui Qiu, Fan-feng Chen, Yin-he Zhang, Zhe Yang, Guan-xia Zhu, Bi-cheng Chen, Shou-liang Miao. A predictive clinical-radiomics nomogram for early diagnosis of mesenteric arterial embolism based on non-contrast CT and biomarkers. Abdominal Radiology 2025; 50(8) doi: 10.1007/s00261-024-04745-3
16	D.V. Rudyk, M.I. Tutchenko, A.V. Lovin, D.M. Patrakh, O.O. Dyrda, M.S. Besedinskyi. The role of CT visualization of the visceral basin in choosing treatment strategy in patients with variceal bleeding associated with portal hypertension. Український радіологічний та онкологічний журнал 2026; 34(1) doi: 10.46879/ukroj.1.2026.052-067
17	Salvatore Claudio Fanni, Maria Febi, Roberto Francischello, Francesca Pia Caputo, Ilaria Ambrosini, Giacomo Sica, Lorenzo Faggioni, Salvatore Masala, Michele Tonerini, Mariano Scaglione, Dania Cioni, Emanuele Neri. Radiomics Applications in Spleen Imaging: A Systematic Review and Methodological Quality Assessment. Diagnostics 2023; 13(16) doi: 10.3390/diagnostics13162623
18	Chao Zhu, Qi Liu, Wenhui Tao, Bolun Fu, Fengyong Yang, Kun Yang, Yuzhen Bao, Bin Cao, Lili Liu, Jiafu Ma, Fan Qi, Shuai Han, Xin Lian. Predictive performance of CT-based artificial intelligence for predicting variceal bleeding in portal hypertension: a systematic review and meta-analysis. Abdominal Radiology 2026; doi: 10.1007/s00261-026-05564-4
19	Xin Gao, Dan-Yang Zhang, Yan Wang. Future directions in noninvasive prediction of cirrhosis decompensation: An opinion review. World Journal of Gastroenterology 2026; 32(29): 117300 doi: 10.3748/wjg.117300 Abstract(29) \| Core Tip(26) \| Full Article(HTML)(154) \| Full Article (PDF)-600K(31) \| Full Article with Cover (PDF)-846K(12) \| Full Article (XML)-150K(9) \| Audio-159K(1) \| Peer-Review Report-447K(17) \| Answering Reviewers-73K(12) \| Times Cited (0) \| Total Visits (258) \| Open
20	Cheng Yan, Min Li, Changchun Liu, Zhe Zhang, Jingwen Zhang, Mingzi Gao, Jing Han, Mingxin Zhang, Liqin Zhao. Development of a non-invasive diagnostic model for high-risk esophageal varices based on radiomics of spleen CT. Abdominal Radiology 2024; 49(12) doi: 10.1007/s00261-024-04509-z
21	Tong Lu, Yu Fang, Haonan Liu, Chong Chen, Taotao Li, Miao Lu, Daqing Song. Comparison of Machine Learning and Logic Regression Algorithms for Predicting Lymph Node Metastasis in Patients with Gastric Cancer: A two-Center Study. Technology in Cancer Research & Treatment 2024; 23 doi: 10.1177/15330338231222331
22	Haichen Zhao, Xiaoya Zhang, Baoxiang Huang, Xiaojuan Shi, Longyang Xiao, Zhiming Li. Application of machine learning methods for predicting esophageal variceal bleeding in patients with cirrhosis. European Radiology 2024; 35(3) doi: 10.1007/s00330-024-11311-4
23	Chunli Li, Xiaoming Zhang, Yuan Gao, Xiaoli Yin, Le Lu, Ling Zhang, Ke Yan, Yu Shi. Medical Image Computing and Computer Assisted Intervention – MICCAI 2024. Lecture Notes in Computer Science 2024; 15005 doi: 10.1007/978-3-031-72086-4_33
24	Yuchuan Bai, Zhihong Wang, Chen Shi, Lihong Chen, Xuecan Mei, Derun Kong. Diagnosis and Treatment Options for Cirrhosis With Unexplained Upper Gastrointestinal Bleeding: An Observational Study Based on Endoscopic Ultrasonography. Surgical Laparoscopy, Endoscopy & Percutaneous Techniques 2025; 35(2) doi: 10.1097/SLE.0000000000001355
25	Da-Qing Song, Tao-Tao Li, Hao-Nan Liu, Yuan-Yuan Ding, Dong Wu, Miao Lu, Tong Lu. Predictive value of machine learning models for lymph node metastasis in gastric cancer: A two-center study. World Journal of Gastrointestinal Surgery 2024; 16(1): 85-94 doi: 10.4240/wjgs.v16.i1.85 Abstract(723) \| Core Tip(738) \| Full Article(HTML)(2198) \| Full Article (PDF)-2414K(137) \| Full Article with Cover (PDF)-2693K(224) \| Full Article (Word)-1019K(18) \| Full Article (XML)-95K(84) \| Audio-625K(4) \| Peer-Review Report-255K(144) \| Answering Reviewers-113K(147) \| Times Cited (5) \| Total Visits (3675) \| Open
26	Jing Han, Jinghui Dong, Cheng Yan, Jingwen Zhang, Yingxuan Wang, Mingzi Gao, Mingxin Zhang, Yujie Chen, Jianming Cai, Liqin Zhao. Development of a clinical-CT-radiomics nomogram for predicting endoscopic red color sign in cirrhotic patients with esophageal varices. Abdominal Radiology 2025; 51(5) doi: 10.1007/s00261-025-05212-3
27	Xiaoming Zhang, Chunli Li, Jiacheng Hao, Yuan Gao, Danyang Tu, Jianyi Qiao, Xiaoli Yin, Le Lu, Ling Zhang, Ke Yan, Yang Hou, Yu Shi. Non-contrast CT esophageal varices grading through clinical prior-enhanced multi-organ analysis. Medical Image Analysis 2026; 109 doi: 10.1016/j.media.2025.103924
28	Marcello Maida, Antonio Facciorusso, Ganesh Aswath, Rakesh Vinayek, Saurabh Chandan, Sahib Singh. Comprehensive approach to esophageal variceal bleeding: From prevention to treatment. World Journal of Gastroenterology 2024; 30(43): 4602-4608 doi: 10.3748/wjg.v30.i43.4602 Abstract(838) \| Core Tip(793) \| Full Article(HTML)(6543) \| Full Article (PDF)-394K(635) \| Full Article with Cover (PDF)-747K(223) \| Full Article (XML)-138K(166) \| Audio-652K(79) \| Peer-Review Report-177K(143) \| Answering Reviewers-74K(138) \| Times Cited (17) \| Total Visits (7567) \| Open
29	Zhichun Li, Qian He, Xiao Yang, Tingting Zhu, Xinghui Li, Yan Lei, Wei Tang, Song Peng. A clinical-radiomics nomogram for the prediction of the risk of upper gastrointestinal bleeding in patients with decompensated cirrhosis. Frontiers in Medicine 2024; 11 doi: 10.3389/fmed.2024.1308435
30	Bekele Taye, Yihealem Yabebal Ayele, Dessalegne Nigatu Achenef, Gedefaw Abeje, Agerye Kassa Yirdaw. Burden and determinants of upper gastrointestinal bleeding in cirrhotic patients: evidence from Sub-Saharan Africa, 2024. BMC Gastroenterology 2025; 25(1) doi: 10.1186/s12876-025-04298-9