A nomogram model to predict death rate among non-small cell lung cancer (NSCLC) patients with surgery in surveillance, epidemiology, and end results (SEER) database

Abstract Background This study aimed to establish a novel nomogram prognostic model to predict death probability for non-small cell lung cancer (NSCLC) patients who received surgery.. Methods We collected data from the Surveillance, Epidemiology, and End Results (SEER) database of the National Cance...

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Autors principals:	Bo Jia, Qiwen Zheng, Jingjing Wang, Hongyan Sun, Jun Zhao, Meina Wu, Tongtong An, Yuyan Wang, Minglei Zhuo, Jianjie Li, Xue Yang, Jia Zhong, Hanxiao Chen, Yujia Chi, Xiaoyu Zhai, Ziping Wang
Format:	Artigo
Idioma:	Inglês
Publicat:	BMC 2020-07-01
Col·lecció:	BMC Cancer
Matèries:	NSCLC Surgery Prognosis SEER Nomogram
Accés en línia:	http://link.springer.com/article/10.1186/s12885-020-07147-y
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