ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2016
Mapping the EORTC QLQ-C30 onto the EQ-5D-3L: assessing the external validity of existing mapping algorithms.
Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.
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Who cites it
20 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Laparoscopic versus open subtotal gastrectomy for gastric adenocarcinoma: cost-effectiveness analysis.BJS open · 2020Pooled it
- Treatment of newly diagnosed glioblastoma in the elderly: a network meta-analysis.The Cochrane database of systematic reviews · 2020Pooled it
- Cost-effectiveness analysis of voice rehabilitation for patients with laryngeal cancer: a randomized controlled study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2020Trial
- Impact of Adverse Events on Health Utility and Health-Related Quality of Life in Patients Receiving First-Line Chemotherapy for Metastatic Breast Cancer: Results from the SELECT BC Study.PharmacoEconomics · 2018Trial
- Disentangling the value equation: a step forward in value-based healthcare.European journal of public health · 2024Article
- Mapping Kansas City cardiomyopathy, Seattle Angina, and minnesota living with heart failure to the MacNew-7D in patients with heart disease.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024Article
- Estimation of Health-Related Utilities forPharmacoEconomics - open · 2021Article
- Article
- Mapping EORTC QLQ-C30 and FACT-G onto EQ-5D-5L index for patients with cancer.Health and quality of life outcomes · 2020Article
- Mapping the Chinese Version of the EORTC QLQ-BR53 Onto the EQ-5D-5L and SF-6D Utility Scores.The patient · 2020Article
- Evaluation of the performance of algorithms mapping EORTC QLQ-C30 onto the EQ-5D index in a metastatic colorectal cancer cost-effectiveness model.Health and quality of life outcomes · 2020Article
- The validation of published utility mapping algorithms: an example of EORTC QLQ-C30 and EQ-5D in non-small cell lung cancer.Health economics review · 2020Article
- Mapping EORTC-QLQ-C30 and QLQ-CR29 onto EQ-5D-5L in Colorectal Cancer Patients.Journal of gastrointestinal cancer · 2020Article
- Impact of mapped EQ-5D utilities on cost-effectiveness analysis: in the case of dialysis treatments.The European journal of health economics : HEPAC : health economics in prevention and care · 2019Article
- Article
- Does Methodological Guidance Produce Consistency? A Review of Methodological Consistency in Breast Cancer Utility Value Measurement in NICE Single Technology Appraisals.PharmacoEconomics - open · 2018Review
- Patient-reported health state utilities in metastatic gastroenteropancreatic neuroendocrine tumours - an analysis based on the CLARINET study.Health and quality of life outcomes · 2017Article
- Condition-specific or generic preference-based measures in oncology? A comparison of the EORTC-8D and the EQ-5D-3L.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2017Article
- Measuring quality of life in opioid-induced constipation: mapping EQ-5D-3 L and PAC-QOL.Health economics review · 2016Article
- Comparing the mapping between EQ-5D-5L, EQ-5D-3L and the EORTC-QLQ-C30 in non-small cell lung cancer patients.Health and quality of life outcomes · 2016Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo determine the external validity of existing mapping algorithms for predicting EQ-5D-3L utility values from EORTC QLQ-C30 responses and to establish their generalizability in different types of cancer.
methodsA main analysis (pooled) sample of 3560 observations (1727 patients) and two disease severity patient samples (496 and 93 patients) with repeated observations over time from Cancer 2015 were used to validate the existing algorithms. Errors were calculated between observed and predicted EQ-5D-3L utility values using a single pooled sample and ten pooled tumour type-specific samples. Predictive accuracy was assessed using mean absolute error (MAE) and standardized root-mean-squared error (RMSE). The association between observed and predicted EQ-5D utility values and other covariates across the distribution was tested using quantile regression. Quality-adjusted life years (QALYs) were calculated using observed and predicted values to test responsiveness.
resultsTen 'preferred' mapping algorithms were identified. Two algorithms estimated via response mapping and ordinary least-squares regression using dummy variables performed well on number of validation criteria, including accurate prediction of the best and worst QLQ-C30 health states, predicted values within the EQ-5D tariff range, relatively small MAEs and RMSEs, and minimal differences between estimated QALYs. Comparison of predictive accuracy across ten tumour type-specific samples highlighted that algorithms are relatively insensitive to grouping by tumour type and affected more by differences in disease severity.
conclusionsTwo of the 'preferred' mapping algorithms suggest more accurate predictions, but limitations exist. We recommend extensive scenario analyses if mapped utilities are used in cost-utility analyses.
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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.