Improving communication of cancer survival statistics-feasibility of implementing model-based algorithms in routine publications.

ABSTRACT:

Background

Routine reporting of cancer patient survival is important, both to monitor the effectiveness of health care and to inform about prognosis following a cancer diagnosis. A range of different survival measures exist, each serving different purposes and targeting different audiences. It is important that routine publications expand on current practice and provide estimates on a wider range of survival measures. We examine the feasibility of automated production of such statistics.

Methods

We used data on 23 cancer sites obtained from the Cancer Registry of Norway (CRN). We propose an automated way of estimating flexible parametric relative survival models and calculating estimates of net survival, crude probabilities, and loss in life expectancy across many cancer sit

SUBMITTER: Myklebust TA 

PROVIDER: S-EPMC10449893 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature