Improved preoperative risk stratification in endometrial carcinoma patients: external validation of the ENDORISK Bayesian network model in a large population-based case series

PURPOSE: Preoperative risk stratification of newly diagnosed endometrial carcinoma (EC) patients has been hindered by only moderate prediction performance for many years. Recently ENDORISK, a Bayesian network model, showed high predictive performance. It was the aim of this study to validate ENDORIS...

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Detalles Bibliográficos
Autores principales: Grube, Marcel, Reijnen, Casper, Lucas, Peter J. F., Kommoss, Frieder, Kommoss, Felix K. F., Brucker, Sara Y., Walter, Christina B., Oberlechner, Ernst, Krämer, Bernhard, Andress, Jürgen, Neis, Felix, Staebler, Annette, Pijnenborg, Johanna M. A., Kommoss, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10314833/
https://www.ncbi.nlm.nih.gov/pubmed/35939115
http://dx.doi.org/10.1007/s00432-022-04218-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10314833/
https://www.ncbi.nlm.nih.gov/pubmed/35939115
http://dx.doi.org/10.1007/s00432-022-04218-4

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