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Cited by in CrossRef
For: Wang YF, Yin X, Fang TY, Wang YM, Zhang DX, Zhang Y, Wang XB, Wang H, Xue YW. Nomograms predicting prognosis of patients with pathological stages T1N2-3 and T3N0 gastric cancer. World J Gastrointest Surg 2022; 14(2): 143-160 [PMID: 35317546 DOI: 10.4240/wjgs.v14.i2.143]
URL: https://www.wjgnet.com/1007-9327/full/v14/i2/143.htm
Number Citing Articles
1
Heewon Chung, Yousun Ko, In‐Seob Lee, Hoon Hur, Jimi Huh, Sang‐Uk Han, Kyung Won Kim, Jinseok Lee. Prognostic artificial intelligence model to predict 5 year survival at 1 year after gastric cancer surgery based on nutrition and body morphometryJournal of Cachexia, Sarcopenia and Muscle 2023; 14(2): 847 doi: 10.1002/jcsm.13176
2
Zhipeng He, Feng Lin, Tingting Cheng, Junpeng Gao, Haoran Wang, Zhigong Zhang, Xiaorong Deng. Development and external validation of a nomogram predicting overall survival for Gastric adenocarcinoma patients with radical gastrectomyScandinavian Journal of Gastroenterology 2024; 59(1): 52 doi: 10.1080/00365521.2023.2250497