Development of a prediction model for clinically-relevant fatigue: a multi-cancer approach.

ABSTRACT:

Purpose

Fatigue is the most prevalent symptom across cancer types. To support clinicians in providing fatigue-related supportive care, this study aims to develop and compare models predicting clinically relevant fatigue (CRF) occurring between two and three years after diagnosis, and to assess the validity of the best-performing model across diverse cancer populations.

Methods

Patients with non-metastatic bladder, colorectal, endometrial, ovarian, or prostate cancer who completed a questionnaire within three months after diagnosis and a subsequent questionnaire between two and three years thereafter, were included. Predictor variables included clinical, socio-demographic, and patient-reported variables. The outcome was CRF (EORTC QLQC30 fatigue ≥ 39). Logistic regression usi

SUBMITTER: Adiprakoso D 

PROVIDER: S-EPMC11802682 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature