For: | Kou FR, Zhang YZ, Xu WR. Prognostic nomograms for predicting overall survival and cause-specific survival of signet ring cell carcinoma in colorectal cancer patients. World J Clin Cases 2021; 9(11): 2503-2518 [PMID: 33889615 DOI: 10.12998/wjcc.v9.i11.2503] |
---|---|
URL: | https://www.wjgnet.com/2307-8960/full/v9/i11/2503.htm |
Number | Citing Articles |
1 |
Jun Woo Bong, Younghyun Na, Yeonuk Ju, Chinock Cheong, Sanghee Kang, Sun Il Lee, Byung Wook Min. Nomogram for predicting the overall survival of underweight patients with colorectal cancer: a clinical study. BMC Gastroenterology 2023; 23(1) doi: 10.1186/s12876-023-02669-8
|
2 |
Shangjun Tang, Yongjun Chen, Shan Tian, Yumei Wang. Predictive Nomogram for the Prediction of Early Recurrence of Colorectal Cancer. International Journal of General Medicine 2021; : 4857 doi: 10.2147/IJGM.S321171
|
3 |
Yalong Zhang, Zunni Zhang, Liuxiang Wei, Shujing Wei. Construction and validation of nomograms combined with novel machine learning algorithms to predict early death of patients with metastatic colorectal cancer. Frontiers in Public Health 2022; 10 doi: 10.3389/fpubh.2022.1008137
|
4 |
Shuxian Yu, Haiyang Jiang, Jing Xia, Jie Gu, Mengting Chen, Yan Wang, Xiaohong Zhao, Zehua Liao, Puhua Zeng, Tian Xie, Xinbing Sui. Construction of machine learning-based models for screening the high-risk patients with gastric precancerous lesions. Chinese Medicine 2025; 20(1) doi: 10.1186/s13020-025-01059-4
|
5 |
Fan Zhang, Boqi Xu, Yao Peng, Zhongqi Mao. Clinicopathologic and prognostic factors of patients with T3/T4 colorectal signet ring cell carcinoma: a population-based study. Journal of Cancer Research and Clinical Oncology 2023; 149(12): 9747 doi: 10.1007/s00432-023-04880-2
|