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

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 Cancer Insti...

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Detalles Bibliográficos
Autores principales: Jia, Bo, Zheng, Qiwen, Wang, Jingjing, Sun, Hongyan, Zhao, Jun, Wu, Meina, An, Tongtong, Wang, Yuyan, Zhuo, Minglei, Li, Jianjie, Yang, Xue, Zhong, Jia, Chen, Hanxiao, Chi, Yujia, Zhai, Xiaoyu, Wang, Ziping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7367407/
https://www.ncbi.nlm.nih.gov/pubmed/32680464
http://dx.doi.org/10.1186/s12885-020-07147-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7367407/
https://www.ncbi.nlm.nih.gov/pubmed/32680464
http://dx.doi.org/10.1186/s12885-020-07147-y

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