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Background::Breast cancer patients with ipsilateral supraclavicular lymph node metastasis (ISLNM) but without distant metastasis are considered to have a poor prognosis. This study aimed to develop a nomogram to predict the overall survival (OS) of breast cancer patients with ISLNM but without distant metastasis.Methods::Medical records of breast cancer patients who received surgical treatment at the Affiliated Cancer Hospital of Zhengzhou University, Jiyuan People’s Hospital and Huaxian People’s Hospital between December 21, 2012 and June 30, 2020 were reviewed retrospectively. Overall, 345 patients with pathologically confirmed ISLNM and without evidence of distant metastasis were identified. They were further randomized 2:1 and divided into training ( n = 231) and validation ( n = 114) cohorts. A nomogram to predict the probability of OS was constructed based on clinicopathologic variables identified by the univariable and multivariable analyses. The predictive accuracy and discriminative abi

作者:Min-Hao Lyu;You-Zhao Ma;Pei-Qi Tian;Hui-Hui Guo;Chao Wang;Zhen-Zhen Liu;Xiu-Chun Chen

来源:中华医学杂志英文版 2021 年 134卷 22期

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作者:
Min-Hao Lyu;You-Zhao Ma;Pei-Qi Tian;Hui-Hui Guo;Chao Wang;Zhen-Zhen Liu;Xiu-Chun Chen
来源:
中华医学杂志英文版 2021 年 134卷 22期
标签:
Breast cancer Ipsilateral supraclavicular lymph node metastasis Nomogram Prognosis Breast cancer Ipsilateral supraclavicular lymph node metastasis Nomogram Prognosis
Background::Breast cancer patients with ipsilateral supraclavicular lymph node metastasis (ISLNM) but without distant metastasis are considered to have a poor prognosis. This study aimed to develop a nomogram to predict the overall survival (OS) of breast cancer patients with ISLNM but without distant metastasis.Methods::Medical records of breast cancer patients who received surgical treatment at the Affiliated Cancer Hospital of Zhengzhou University, Jiyuan People’s Hospital and Huaxian People’s Hospital between December 21, 2012 and June 30, 2020 were reviewed retrospectively. Overall, 345 patients with pathologically confirmed ISLNM and without evidence of distant metastasis were identified. They were further randomized 2:1 and divided into training ( n = 231) and validation ( n = 114) cohorts. A nomogram to predict the probability of OS was constructed based on clinicopathologic variables identified by the univariable and multivariable analyses. The predictive accuracy and discriminative abi