Cargando…
A nomogram prognostic model for large cell lung cancer: analysis from the Surveillance, Epidemiology and End Results Database
BACKGROUND: Currently, there is no reliable method for predicting the prognosis of patients with large cell lung cancer (LCLC). The aim of this study was to develop and validate a nomogram model for accurately predicting the prognosis of patients with LCLC. METHODS: LCLC patients, diagnosed from 200...
Autores principales: | Lin, Gang, Qi, Kang, Liu, Bing, Liu, Haibo, Li, Jian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7947411/ https://www.ncbi.nlm.nih.gov/pubmed/33718009 http://dx.doi.org/10.21037/tlcr-19-517b |
Ejemplares similares
-
Prognostic Factors in Patients With Osteosarcoma With the Surveillance, Epidemiology, and End Results Database
por: Fu, Peng, et al.
Publicado: (2020) -
Lung Large Cell Neuroendocrine Carcinoma: An Analysis of Patients from the Surveillance, Epidemiology, and End-Results (SEER) Database
por: Deng, Chong, et al.
Publicado: (2019) -
Clinical features and prognostic factors of pulmonary carcinosarcoma: A nomogram development and validation based on surveillance epidemiology and end results database
por: Zhang, Ming-Yi, et al.
Publicado: (2022) -
Crafting a prognostic nomogram for the overall survival rate of cutaneous verrucous carcinoma using the surveillance, epidemiology, and end results database
por: Chong, Siomui, et al.
Publicado: (2023) -
Nomograms for predicting the overall survival of patients with cerebellar glioma: an analysis of the surveillance epidemiology and end results (SEER) database
por: Li, Jie, et al.
Publicado: (2021)