Ten-year conditional probability of survival for patients with ovarian cancer: A new metric tailored to Long-term survivors.

ABSTRACT:

Objectives

We assessed a conditional probability of survival (CPS) model to determine the probability of living 10 years after ovarian cancer diagnosis after having already survived 5 years.

Methods

We identified patients newly diagnosed with high-grade epithelial ovarian cancer from 1/1/2001-12/31/2009 and treated at our institution. Patients with <3 years follow-up were excluded. CPS was defined as the probability of surviving additional years (y) based on the condition a patient had already survived a given time (x): S(x + y)/S(x). Confidence intervals were estimated using a variation of Greenwood's formula.

Results

Of 916 patients meeting inclusion criteria, 473 (52%) were diagnosed from 2001 to 2005 and 443 (48%) from 2006 to 2009. Median age at diagnosis was 60

SUBMITTER: Kahn R 

PROVIDER: S-EPMC10364188 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature