A nomogram for individually predicting overall survival for elderly patients with early breast cancer: a consecutive cohort study.

ABSTRACT:

Background

Elderly patients with breast cancer are highly heterogeneous, and tumor load and comorbidities affect patient prognosis. Prediction models can help clinicians to implement tailored treatment plans for elderly patients with breast cancer. This study aimed to establish a prediction model for breast cancer, including comorbidities and tumor characteristics, in elderly patients with breast cancer.

Methods

All patients were ≥65 years old and admitted to the Peking Union Medical College Hospital. The clinical and pathological characteristics, recurrence, and death were observed. Overall survival (OS) was analyzed using the Kaplan-Meier curve and a prediction model was constructed using Cox proportional hazards model regression. The discriminative ability and calibration

SUBMITTER: Zhong Y 

PROVIDER: S-EPMC10420132 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature