Measuring and predicting prostate cancer related quality of life changes using EPIC for clinical practice.

ABSTRACT:

Purpose

We expanded the clinical usefulness of EPIC-CP (Expanded Prostate Cancer Index Composite for Clinical Practice) by evaluating its responsiveness to health related quality of life changes, defining the minimally important differences for an individual patient change in each domain and applying it to a sexual outcome prediction model.

Materials and methods

In 1,201 subjects from a previously described multicenter longitudinal cohort we modeled the EPIC-CP domain scores of each treatment group before treatment, and at short-term and long-term followup. We considered a posttreatment domain score change from pretreatment of 0.5 SD or greater clinically significant and p ≤ 0.01 statistically significant. We determined the domain minimally important differences using the po

SUBMITTER: Chipman JJ 

PROVIDER: S-EPMC5006995 | biostudies-literature | 2014 Mar

REPOSITORIES: biostudies-literature