ArticleHealth and quality of life outcomes2014
A non-linear beta-binomial regression model for mapping EORTC QLQ- C30 to the EQ-5D-3L in lung cancer patients: a comparison with existing approaches.
Article in Health and quality of life outcomes, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
23 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Health-related quality of life among anaplastic lymphoma kinase (ALK)-positive non-small cell lung cancer (NSCLC) patients treated with first- and next-generation ALK tyrosine kinase inhibitors (TKIs): a systematic review and meta-analysis.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025Pooled it
- 'Mapping' Health State Utility Values from Non-preference-Based Measures: A Systematic Literature Review in Rare Diseases.PharmacoEconomics · 2020Pooled it
- Review and critical appraisal of studies mapping from quality of life or clinical measures to EQ-5D: an online database and application of the MAPS statement.Health and quality of life outcomes · 2018Pooled it
- Translating the EORTC CAT core and the QLQ-C30 to the EQ-5D-5L in patients with metastatic breast cancer: A comparison of direct and indirect mapping algorithms.The European journal of health economics : HEPAC : health economics in prevention and care · 2026Article
- 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 Patient-Reported Outcomes Measurement Information System (PROMIS-29) to EQ-5D-5L.PharmacoEconomics · 2023Article
- An examination of machine learning to map non-preference based patient reported outcome measures to health state utility values.Health economics · 2022Article
- 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 clinical outcomes to generic preference-based outcome measures: development and comparison of methods.Health technology assessment (Winchester, England) · 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 the EORTC QLQ-C30 and QLQ-H&N35 to the EQ-5D for head and neck cancer: Can disease-specific utilities be obtained?PloS one · 2019Article
- Testing alternative regression models to predict utilities: mapping the QLQ-C30 onto the EQ-5D-5L and the SF-6D.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2018Article
- Development of Methods for the Mapping of Utilities Using Mixture Models: Mapping the AQLQ-S to the EQ-5D-5L and the HUI3 in Patients with Asthma.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2018Article
- Direct Mapping of the QLQ-C30 to EQ-5D Preferences: A Comparison of Regression Methods.PharmacoEconomics - open · 2018Article
- Mapping the Paediatric Quality of Life Inventory (PedsQL™) Generic Core Scales onto the Child Health Utility Index-9 Dimension (CHU-9D) Score for Economic Evaluation in Children.PharmacoEconomics · 2018Article
- Predicting EuroQoL 5 Dimensions 5 Levels (EQ-5D-5L) Utilities from Older People's Quality of Life Brief Questionnaire (OPQoL-Brief) Scores.The patient · 2018Article
- Patient-reported health state utilities in metastatic gastroenteropancreatic neuroendocrine tumours - an analysis based on the CLARINET study.Health and quality of life outcomes · 2017Article
- Mapping CHU9D Utility Scores from the PedsQLPharmacoEconomics · 2017Article
- Mapping Between the Sydney Asthma Quality of Life Questionnaire (AQLQ-S) and Five Multi-Attribute Utility Instruments (MAUIs).PharmacoEconomics · 2017Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
backgroundThe performance of the Beta Binomial (BB) model is compared with several existing models for mapping the EORTC QLQ-C30 (QLQ-C30) on to the EQ-5D-3L using data from lung cancer trials.
methodsData from 2 separate non small cell lung cancer clinical trials (TOPICAL and SOCCAR) are used to develop and validate the BB model. Comparisons with Linear, TOBIT, Quantile, Quadratic and CLAD models are carried out. The mean prediction error, R(2), proportion predicted outside the valid range, clinical interpretation of coefficients, model fit and estimation of Quality Adjusted Life Years (QALY) are reported and compared. Monte-Carlo simulation is also used.
resultsThe Beta-Binomial regression model performed 'best' among all models. For TOPICAL and SOCCAR trials, respectively, residual mean square error (RMSE) was 0.09 and 0.11; R(2) was 0.75 and 0.71; observed vs. predicted means were 0.612 vs. 0.608 and 0.750 vs. 0.749. Mean difference in QALY's (observed vs. predicted) were 0.051 vs. 0.053 and 0.164 vs. 0.162 for TOPICAL and SOCCAR respectively. Models tested on independent data show simulated 95% confidence from the BB model containing the observed mean more often (77% and 59% for TOPICAL and SOCCAR respectively) compared to the other models. All algorithms over-predict at poorer health states but the BB model was relatively better, particularly for the SOCCAR data.
conclusionThe BB model may offer superior predictive properties amongst mapping algorithms considered and may be more useful when predicting EQ-5D-3L at poorer health states. We recommend the algorithm derived from the TOPICAL data due to better predictive properties and less uncertainty.
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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.