Risk Prediction of Second Primary Malignancies in Primary Early-Stage Ovarian Cancer Survivors: A SEER-Based National Population-Based Cohort Study.

ABSTRACT:

Purpose

This study aimed to characterize the clinical features of early-stage ovarian cancer (OC) survivors with second primary malignancies (SPMs) and provided a prediction tool for individualized risk of developing SPMs.

Methods

Data were obtained from the Surveillance, Epidemiology and End Results (SEER) database during 1998-2013. Considering non-SPM death as a competing event, the Fine and Gray model and the corresponding nomogram were used to identify the risk factors for SPMs and predict the SPM probabilities after the initial OC diagnosis. The decision curve analysis (DCA) was performed to evaluate the clinical utility of our proposed model.

Results

A total of 14,314 qualified patients were enrolled. The diagnosis rate and the cumulative incidence of SPMs were

SUBMITTER: Xu J 

PROVIDER: S-EPMC9161780 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature