A nomogram for predicting mortality in patients with COVID-19 and solid tumors: a multicenter retrospective cohort study

BACKGROUND: Individualized prediction of mortality risk can inform the treatment strategy for patients with COVID-19 and solid tumors and potentially improve patient outcomes. We aimed to develop a nomogram for predicting in-hospital mortality of patients with COVID-19 with solid tumors. METHODS: We...

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Detalles Bibliográficos
Autores principales: Liu, Chao, Li, Li, Song, Kehan, Zhan, Zhi-Ying, Yao, Yi, Gong, Hongyun, Chen, Yuan, Wang, Qun, Dong, Xiaorong, Xie, Zhibin, Ou, Chun-Quan, Hu, Qinyong, Song, Qibin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Basic Tumor Immunology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7476423/
https://www.ncbi.nlm.nih.gov/pubmed/32895296
http://dx.doi.org/10.1136/jitc-2020-001314

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7476423/
https://www.ncbi.nlm.nih.gov/pubmed/32895296
http://dx.doi.org/10.1136/jitc-2020-001314

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