Conditional survival prediction in elderly patients with hormone receptor positive locally advanced breast cancer using a competing risks model

This study investigated the CS patterns in elderly patients with HR-positive LABC and develop personalized CS prediction models. These models may assist in patient counseling, guide clinical decision-making, and support healthcare resource allocation during follow-up. However, several limitations remain before clinical application, including the absence of important clinical variables, limited applicability to non-surgical patients, and the lack of prospective validation. Future implementation will require external validation and further model refinement.