ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2018
Testing alternative regression models to predict utilities: mapping the QLQ-C30 onto the EQ-5D-5L and the SF-6D.
Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Mapping Health State Utility from Disease-Specific Measures in Spinal Muscular Atrophy and Paroxysmal Nocturnal Hemoglobinuria.PharmacoEconomics · 2026Article
- Article
- Mapping the ADDQoL to the EQ-5D-5L and SF-6Dv2 among Chinese patients with type 2 diabetes mellitus.Health and quality of life outcomes · 2025Article
- Comparison of the EQ-5D-5L and the patient-reported outcomes measurement information system preference score (PROPr) in the United States.Journal of patient-reported outcomes · 2024Article
- Mapping the EORTC QLQ-C30 and QLQ H&N35 to the EQ-5D-5L and SF-6D for papillary thyroid carcinoma.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024Article
- Health-related quality of life among cancer survivors: pre-existing chronic conditions are to be given priority.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024Article
- Mapping of the PROMIS global health measure to the PROPr in the United States.Journal of patient-reported outcomes · 2024Article
- Psychometric performance of EQ-5D-5L and SF-6DV2 in measuring health status of populations in Chinese university staff and students.BMC public health · 2023Article
- Prediction of the SF-6D utility score from Lung cancer FACT-L: a mapping study in China.Health and quality of life outcomes · 2023Article
- Mapping the Seattle Angina Questionnaire to EQ-5D-5L in patients with coronary heart disease.Health and quality of life outcomes · 2023Article
- Mapping the Peds QLFrontiers in public health · 2023Article
- Obtaining SF-6D utilities from FACT-H&N in thyroid carcinoma patients: development and results from a mapping study.Frontiers in endocrinology · 2023Article
- Mapping the Haem-A-QoL to the EQ-5D-5L in patients with hemophilia.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022Article
- Indirect and Direct Mapping of the Cancer-Specific EORTC QLQ-C30 onto EQ-5D-5L Utility Scores.Applied health economics and health policy · 2022Article
- Predictive analysis of the number of human brucellosis cases in Xinjiang, China.Scientific reports · 2021Article
- Predicting EQ-5D-5L crosswalk from the PROMIS-29 profile for the United Kingdom, France, and Germany.Health and quality of life outcomes · 2020Article
- Mapping EORTC QLQ-C30 and FACT-G onto EQ-5D-5L index for patients with cancer.Health and quality of life outcomes · 2020Article
- Does linear equating improve prediction in mapping? Crosswalking MacNew onto EQ-5D-5L value sets.The European journal of health economics : HEPAC : health economics in prevention and care · 2020Article
- Mapping the Minnesota living with heart failure questionnaire (MLHFQ) to EQ-5D-5L in patients with heart failure.Health and quality of life outcomes · 2020Article
- Mapping the Strengths and Difficulties Questionnaire onto the Child Health Utility 9D in a large study of children.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2019Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe purpose of the study was to compare alternative statistical techniques to find the best approach for converting QLQ-C30 scores onto EQ-5D-5L and SF-6D utilities, and to estimate the mapping algorithms that best predict these health state utilities.
methods772 cancer patients described their health along the cancer-specific instrument (QLQ-C30) and two generic preference-based instruments (EQ-5D-5L and SF-6D). Seven alternative regression models were applied: ordinary least squares, generalized linear model, extended estimating equations (EEE), fractional regression model, beta binomial (BB) regression, logistic quantile regression and censored least absolute deviation. Normalized mean absolute error (NMAE), normalized root mean square error (NRMSE), r-squared (r
resultsIn predicting EQ-5D-5L utilities, the BB regression performed best. It gave better predictive accuracy in terms of all criteria in the full sample, as well as in the validation sample. In predicting SF-6D, the EEE performed best. It outperformed in all criteria: NRMSE = 0.1004, NMAE = 0.0798, CCC = 0.842 and r
conclusionsWhen only QLQ-C30 data are available, mapping provides an alternative approach to obtain health state utility data for use in cost-effectiveness analyses. Among seven alternative regression models, the BB and the EEE gave the most accurate predictions for EQ-5D-5L and SF-6D, respectively.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.