Predicting serious complications in patients with cancer and pulmonary embolism using decision tree modelling: the EPIPHANY Index

BACKGROUND: Our objective was to develop a prognostic stratification tool that enables patients with cancer and pulmonary embolism (PE), whether incidental or symptomatic, to be classified according to the risk of serious complications within 15 days. METHODS: The sample comprised cases from a natio...

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Detalles Bibliográficos
Autores principales: Carmona-Bayonas, A, Jiménez-Fonseca, P, Font, C, Fenoy, F, Otero, R, Beato, C, Plasencia, J M, Biosca, M, Sánchez, M, Benegas, M, Calvo-Temprano, D, Varona, D, Faez, L, de la Haba, I, Antonio, M, Madridano, O, Solis, M P, Ramchandani, A, Castañón, E, Marchena, P J, Martín, M, Ayala de la Peña, F, Vicente, V
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Clinical Study
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5396106/
https://www.ncbi.nlm.nih.gov/pubmed/28267709
http://dx.doi.org/10.1038/bjc.2017.48

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5396106/
https://www.ncbi.nlm.nih.gov/pubmed/28267709
http://dx.doi.org/10.1038/bjc.2017.48

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