Dynamic conditional survival nomogram for non-early-stage infiltrating ductal carcinoma based on SEER database.

ABSTRACT: The prognosis of breast cancer varies by histologic subtype, with infiltrating ductal carcinoma (IDC) being the most prevalent, comprising 70% of infiltrating breast cancers. Long-term survival outcomes for IDC remain unclear, and some non-early-stage IDC patients exhibit better survival than initially expected. Dynamic survival probability offers a more accurate approach to life expectancy estimation compared to traditional methods such as Kaplan-Meier analysis and the tumor-node-metastasis (TNM) staging system-based nomogram (TNM nomogram) .This study aims to develop a conditional survival prediction model for non-early-stage infiltrating ductal carcinoma patients, with a particular focus on long-term survival assessment of female IDC patients at stage IIB and beyond (according to the AJ

SUBMITTER: Tan E 

PROVIDER: S-EPMC12638917 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature