Assessing the performance of QLQ-C30 in predicting all-cause mortality in community cancer patients.

ABSTRACT:

Background

To evaluate the ability of QLQ-C30 in predicting mortality in community-based cancer patients in China.

Methods

A whole-cluster sampling method was adopted to enroll cancer patients in four communities in Shanghai from 2018 to 2019. The patients were surveyed using a questionnaire enquiring demographic information, cancer types, and QLQ-C30 scale. Death information of participants was collected and updated from community health care centers. Cox regression models were used to assess the relationship between various QLQ-C30 scores (i.e., total score, five dimension scores, and utility score) and all-cause mortality.

Results

A total of 3,304 participants were enrolled with a mean age of 63.9 years. Among them, 2,710 patients survived while 594 died by 2023. T

SUBMITTER: Zhao J 

PROVIDER: S-EPMC11889892 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature