Predicting survival in cancer patients with and without 30‐day readmission of an unplanned hospitalization using a deficit accumulation approach

BACKGROUND: For cancer patients with an unplanned hospitalization, estimating survival has been limited. We examined factors predicting survival and investigated the concept of using a deficit‐accumulation survival index (DASI) in this population. METHODS: Data were abstracted from medical records o...

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Detalles Bibliográficos
Autores principales: Hembree, Timothy N., Thirlwell, Sarah, Reich, Richard R., Pabbathi, Smitha, Extermann, Martine, Ramsakal, Asha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Clinical Cancer Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6825978/
https://www.ncbi.nlm.nih.gov/pubmed/31493342
http://dx.doi.org/10.1002/cam4.2472

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6825978/
https://www.ncbi.nlm.nih.gov/pubmed/31493342
http://dx.doi.org/10.1002/cam4.2472

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