Exploring the role of health-related quality of life measures in predictive modelling for oncology: a systematic review.

ABSTRACT: Health related quality of life (HRQoL) is increasingly assessed in oncology research and routine care, which has led to the inclusion of HRQoL in prediction models. This review aims to describe the current state of oncological prediction models incorporating HRQoL. A systematic literature search for the inclusion of HRQoL in prediction models in oncology was conducted. Selection criteria were a longitudinal study design and inclusion of HRQoL data in prediction models as predictor, outcome, or both. Risk of bias was assessed using the PROBAST tool and quality of reporting was scored with an adapted TRIPOD reporting guideline. From 4747 abstracts, 98 records were included in this review. High risk of bias was found in 71% of the publications. HRQoL was mainly incorporated as predictor (78%

SUBMITTER: van der Heijden TGW 

PROVIDER: S-EPMC11865133 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature