Prediction of conditional survival in esophageal cancer in a population-based cohort study.

ABSTRACT:

Background

The authors aimed to produce a prediction model for survival at any given date after surgery for esophageal cancer (conditional survival), which has not been done previously.

Materials and methods

Using joint density functions, the authors developed and validated a prediction model for all-cause and disease-specific mortality after surgery with esophagectomy, for esophageal cancer, conditional on postsurgery survival time. The model performance was assessed by the area under the receiver operating characteristic curve (AUC) and risk calibration, with internal cross-validation. The derivation cohort was a nationwide Swedish population-based cohort of 1027 patients treated in 1987-2010, with follow-up throughout 2016. This validation cohort was another Swedish popul

SUBMITTER: Xie SH 

PROVIDER: S-EPMC10389626 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature