Ontology highlight
ABSTRACT: Background and objective
Disease-specific questionnaires provide detailed health insights and are increasingly used in mapping studies to estimate utility values. Given the limited mapping studies in prostate cancer, our aim was to develop mapping algorithms to convert scores from disease-specific questionnaires to EQ-5D utility values for patients receiving novel androgen receptor signaling inhibitors (ARSIs).Methods
This cross-sectional study enrolled prostate cancer patients in Taiwan. Health-related quality of life was assessed using the EQ-5D-5L, European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-Core 30-item (QLQ-C30), and QLQ-Prostate Cancer 25-item (QLQ-PR25) instruments. Mapping algorithms were developed using ordinary least sq
SUBMITTER: Hao SY
PROVIDER: S-EPMC12803998 | biostudies-literature | 2026 Jan
REPOSITORIES: biostudies-literature