| For: | Li XF, Ma TT, Li T. Risk factors and survival prediction model establishment for prognosis in patients with radical resection of gallbladder cancer. World J Gastrointest Surg 2024; 16(10): 3239-3252 [PMID: 39575289 DOI: 10.4240/wjgs.v16.i10.3239] |
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| URL: | https://www.wjgnet.com/1948-5204/full/v16/i10/3239.htm |
| Number | Citing Articles |
| 1 |
Geetha R. Performance Evaluation of Predictive Models for Gallbladder Cancer Survival Outcomes in Medical Domain. 2026 International Conference on Electronics and Renewable Systems (ICEARS) 2026; : 1257 doi: 10.1109/ICEARS67481.2026.11416742
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| 2 |
So Jeong Yoon, Hyun Jeong Jeon, Boram Park, Hyeong Seok Kim, Hochang Chae, Sang Hyun Shin, In Woong Han, Jin Seok Heo, Okjoo Lee, Hongbeom Kim. Optimizing Lymph Node Staging in Gallbladder Cancer: A Cutoff of 11 Nodes for Accurate Staging and Improved Survival. Journal of Hepato-Biliary-Pancreatic Sciences 2026; doi: 10.1002/jhbp.70115
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| 3 |
Amitabh Kumar Upadhyay, Deb Sanjay Nag, Sanghamitra Jena, Neetesh Sinha, Dona Lodh. Newer Biomarkers in Gallbladder Carcinoma: A Scoping Review. Cureus 2024; doi: 10.7759/cureus.75142
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| 4 |
Nancy R Mayer, Eli Daniel Ehrenpreis. Modeling post-operative survival in patients with gallbladder cancer resections: The road to improved patient care?. World Journal of Gastrointestinal Surgery 2025; 17(2): 101553 doi: 10.4240/wjgs.v17.i2.101553
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| 5 |
Jiajia He, Weilv Xiong, Hongxia Chen, Qunyan Pan, Weiyue Ji. A novel machine learning-based model for precise prediction of postoperative recurrence in gallbladder cancer: development and multicenter validation across four centers. World Journal of Surgical Oncology 2026; 24(1) doi: 10.1186/s12957-026-04281-y
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