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

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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Bibliographic Details
Main Authors: 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: Article
Language:English
Published: BMC 2020-07-01
Series:BMC Cancer
Subjects:
NSCLC
Surgery
Prognosis
SEER
Nomogram
Online Access:http://link.springer.com/article/10.1186/s12885-020-07147-y

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