Open Access<p>Predicting Recurrence in Endometrial Cancer Based on a Combination of Classical Parameters and Immunohistochemical Markers</p>
Author(s) -
Peng Jiang,
Jin Long Huang,
Ying Deng,
Jiyi Hu,
Zhen Huang,
Ming Jia,
Jiaojiao Long,
Zhuoying Hu
Publication year - 2020
Publication title -
cancer management and research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.024
H-Index - 40
ISSN - 1179-1322
DOI - 10.2147/cmar.s263747
Subject(s) - nomogram , medicine , oncology , immunohistochemistry , univariate , proportional hazards model , endometrial cancer , cohort , univariate analysis , stage (stratigraphy) , multivariate analysis , multivariate statistics , cancer , pathology , biology , statistics , paleontology , mathematics
The aim of this study was to establish a nomogram to predict the recurrence of endometrial cancer (EC) by immunohistochemical markers and clinicopathological parameters and to evaluate the discriminative power of this model.