Obtaining long-term stage-specific relative survival estimates in the presence of incomplete historical stage information.

ABSTRACT:

Background

Completeness of recording for cancer stage at diagnosis is often historically poor in cancer registries, making it challenging to provide long-term stage-specific survival estimates. Stage-specific survival differences are driven by differences in short-term prognosis, meaning estimated survival metrics using period analysis are unlikely to be sensitive to imputed historical stage data.

Methods

We used data from the Surveillance, Epidemiology, and End Results (SEER) Program for lung, colon and breast cancer. To represent missing data patterns in less complete registry data, we artificially inflated the proportion of missing stage information conditional on stage at diagnosis and calendar year of diagnosis. Period analysis was applied and missing stage at diagnosis

SUBMITTER: Stannard R 

PROVIDER: S-EPMC9470741 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature