A nomogram for predicting overall survival of women with endometrial cancer following primary therapy: Toward improving individualized cancer care Academic Article uri icon

Overview

MeSH Major

  • Endometrial Neoplasms
  • Nomograms

abstract

  • We developed a nomogram based on 5 easily available clinical characteristics to predict OS with a high concordance probability. This nomogram incorporates other individualized patient variables beyond FIGO stage to more accurately predict outcome. This new tool may be useful to clinicians in assessing patient risk when deciding on follow-up strategies.

publication date

  • March 2010

Research

keywords

  • Academic Article

Identity

Language

  • eng

PubMed Central ID

  • PMC3870336

Digital Object Identifier (DOI)

  • 10.1016/j.ygyno.2009.11.027

PubMed ID

  • 20022094

Additional Document Info

start page

  • 399

end page

  • 403

volume

  • 116

number

  • 3