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Original Research

Survival nomogram for patients with metastatic siewert type II adenocarcinoma of the esophagogastric junction: a population-based study

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Pages 757-764 | Received 19 Mar 2020, Accepted 16 Jun 2020, Published online: 30 Jun 2020

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Xin Liu, Qingtao Jiang, Chao Yue & Qin Wang. (2021) Clinicopathological Characteristics and Survival Predictions for Adenocarcinoma of the Esophagogastric Junction: A SEER Population-Based Retrospective Study. International Journal of General Medicine 14, pages 10303-10314.
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Articles from other publishers (5)

Wei Li, Minghang Zhang, Siyu Cai, Liangliang Wu, Chao Li, Yuqi He, Guibin Yang, Jinghui Wang & Yuanming Pan. (2023) Neural network-based prognostic predictive tool for gastric cardiac cancer: the worldwide retrospective study. BioData Mining 16:1.
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Min Zhang, Wenwen Yang, Yanjiang Yang, Chengfeng Cai, Dan Zhao & Biao Han. (2023) Nomogram for predicting the likelihood of liver metastases at initial diagnosis in patients with Siewert type II gastroesophageal junction adenocarcinoma. Scientific Reports 13:1.
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Jian Chen, Yu-Jian Xia, Tian-Yu Liu, Yuan-Hui Lai, Ji-Shang Yu, Tian-Hao Zhang, Shiyin Ooi & Yu-Long He. (2021) Development and validation of a survival nomogram for patients with Siewert type II/III adenocarcinoma of the esophagogastric junction based on real-world data. BMC Cancer 21:1.
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Liubo Chen, Kejun Tang, Sihan Wang, Dongdong Chen & Kefeng Ding. (2021) Predictors of Lymph Node Metastasis in Siewert Type II T1 Adenocarcinoma of the Esophagogastric Junction: A Population-Based Study. Cancer Control 28, pages 107327482110266.
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Yuexin Tong, Zhangheng Huang, Chuan Hu, Changxing Chi, Meng Lv & Youxin Song. (2020) Construction and Validation of a Convenient Clinical Nomogram to Predict the Risk of Brain Metastasis in Renal Cell Carcinoma Patients. BioMed Research International 2020, pages 1-10.
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