Objective The study aimed to develop a prediction model combining clinical and histological
features to predict recurrence in patients with stage I-II endometrial cancer (EC) after …

Background The purpose of this study was to establish a nomogram combining classical
parameters and immunohistochemical markers to predict the recurrence of patients with …

Objective The aim of this study was to establish a nomogram to predict the recurrence of
endometrial cancer (EC) by immunohistochemical markers and clinicopathological …

Objective To develop and validate a 3-year recurrence prediction score (RPS) system for
predicting the baseline risk of recurrence of stage I–II endometrial carcinoma. Methods We …

Objective Existing prognostic models for endometrial cancer are short of facility and effective
validation. In this study, we aim to develop and validate a novel prognostic model for …

Objective To develop machine‐learning models to predict recurrence and time‐to‐
recurrence in high‐grade endometrial cancer (HGEC) following surgery and tailored …

Recurrence is the main cause of death in patients with endometrial cancer (EC). This study
aimed to construct and validate a nomogram to predict the recurrence-free survival of …

Background To explore the most predictive lymph node (LN) scheme for stage IIIC
endometrial cancer (EC) patients after hysterectomy and develop a scheme-based …

Objective We aimed to construct and validate a prognostic nomogram to predict cancer-
specific survival (CSS) after surgery in patients with advanced endometrial carcinoma (EC) …

Background The purpose of this study was to construct a nomogram based on classical
parameters and immunohistochemical markers to predict the recurrence of early low-risk …