Mapping the EORTC QLQ-C30 and QLQ-LC13 to the SF-6D utility index in patients with lung cancer using machine learning and traditional regression methods.

Journal: Health and quality of life outcomes
Published Date:

Abstract

BACKGROUND: Preference-based measures of health-related quality of life (HRQoL), such as the Short Form Six-Dimension (SF-6D) is essential for health economic evaluations. However, these measures are rarely included in clinical trials for lung cancer. This study aims to develop mapping algorithms to predict SF-6D health utility scores from the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core (EORTC QLQ-C30) and Quality of Life Questionnaire-Lung Cancer 13 (QLQ-LC13).

Authors

  • Longlin Jiang
    Department of Thoracic Surgery, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu. No. 55, Section 4, South Renmin Road, Chengdu, 610041, Sichuan, China.
  • Kexun Li
    Institute for Emergency and Disaster Medicine, Sichuan Academy of Medical Sciences, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610072, Sichuan, China.
  • Simiao Lu
    Department of Thoracic Surgery, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu. No. 55, Section 4, South Renmin Road, Chengdu, 610041, Sichuan, China.
  • Zhou Hong
    Department of Neurology, The Second Affiliated Hospital of Jianghan University (Wuhan City Fifth Hospital), Wuhan, Hubei, China.
  • Yifang Wang
  • Qin Xie
  • Qin He
    Key Laboratory of Drug-Targeting and Drug Delivery System of the Education Ministry and Sichuan Province, Sichuan Engineering Laboratory for Plant-Sourced Drug and Sichuan Research Center for Drug Precision Industrial Technology, Med-X Center for Materials, West China School of Pharmacy, Sichuan University, Chengdu, 610041, China. Electronic address: qinhe@scu.edu.cn.
  • Sirui Wei
    Department of Thoracic Surgery, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu. No. 55, Section 4, South Renmin Road, Chengdu, 610041, Sichuan, China.
  • Aoru Zhou
    Department of Thoracic Surgery, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu. No. 55, Section 4, South Renmin Road, Chengdu, 610041, Sichuan, China.
  • Hong Kang
    School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Texas, USA.
  • Xuefeng Leng
    Department of Thoracic Surgery, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu. No. 55, Section 4, South Renmin Road, Chengdu, 610041, Sichuan, China. leng724@163.com.
  • Qing Yang
    School of Nursing, Chengdu Medical College, Chengdu, China.
  • Yan Miao
    College of Communication Engineering, Jilin University, Changchun 130022, China.