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Cited by in CrossRef
For: Ban B, Shang A, Shi J. Development and validation of a nomogram for predicting metachronous peritoneal metastasis in colorectal cancer: A retrospective study. World J Gastrointest Oncol 2023; 15(1): 112-127 [PMID: 36684053 DOI: 10.4251/wjgo.v15.i1.112]
URL: https://www.wjgnet.com/1007-9327/full/v15/i1/112.htm
Number Citing Articles
1
Mohamed Elsaigh, Safa Baqar, Bakhtawar Awan, Omnia S Saleh, Mohamed Hesham Gamal, Naomi Abara, Alexander Hawkins, Besiana P Beqo. Comparative Effectiveness of Artificial Intelligence Versus Conventional Methods for Detecting Peritoneal Metastasis in Colorectal Cancer: A Systematic ReviewCureus 2025;  doi: 10.7759/cureus.95484
2
Li Yao, Huan Shao, Xinyi Zhang, Xuan Huang. A novel risk model for predicting peritoneal metastasis in colorectal cancer based on the SEER databaseJournal of Cancer Research and Clinical Oncology 2023; 149(17): 15989 doi: 10.1007/s00432-023-05368-9
3
Xuesong Li, Zheng Mo, Feng Wang, Zhuo Yu. A clinical prediction model for metachronous distant metastasis in stage II–III pMMR/MSS colorectal cancer: A single-center, retrospective studyMedicine 2025; 104(46): e45842 doi: 10.1097/MD.0000000000045842