Evidence map›Paper›PMID 32537694›Full record

ArticleApplied health economics and health policy2021

French Value-Set of the QLU-C10D, a Cancer-Specific Utility Measure Derived from the QLQ-C30.

Virginie Nerich, Eva Maria Gamper, Richard Norman, Madeleine King, Bernhard Holzner, Rosalie Viney, Georg Kemmler

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Article in Applied health economics and health policy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
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  7. United Kingdom value set for the functional assessment of cancer therapy eight dimension (FACT-8D) preference-based quality of life instrument.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
    Article
  8. Comparing EQ-5D-5L and SF-6Dv2 utilities with QLU-C10D utilities in hematologic cancer patients.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
    Article
  9. Developing a patient-based utility value set for the EORTC QLU-C10D using the OPUF method in Chinese cancer patients.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Article
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  13. Norwegian and Swedish value sets for the EORTC QLU-C10D utility instrument.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Article
  14. Developing a utility value set for the Gambling Quality of Life Scale-Brief (GQoLS-Brief) using a discrete choice experiment.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Article
  15. The EORTC QLU-C10D is a valid cancer-specific preference-based measure for cost-utility and health technology assessment in the Netherlands.The European journal of health economics : HEPAC : health economics in prevention and care · 2024
    Article
  16. Article
  17. Chinese utility weights for the EORTC cancer-specific utility instrument QLU-C10D.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
    Article
  18. Article
  19. Japanese value set for the EORTC QLU-C10D: A multi-attribute utility instrument based on the EORTC QLQ-C30 cancer-specific quality-of-life questionnaire.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
    Article
  20. Japanese value set for the EORTC QLU-C10D: A multi-attribute utility instrument based on the EORTC QLQ-C30 cancer-specific quality-of-life questionnaire.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Virginie NerichDepartment of Pharmacy, University Hospital, Boulevard Fleming, 25030, Besancon Cedex, France. v1nerich@chu-besancon.fr.ORCID 0000-0002-0351-6040
Eva Maria GamperDivision of Psychiatry II, Department of Psychiatry, Psychotherapy and Psychosomatics, Medical University of Innsbruck, Innsbruck, Austria.
Richard NormanSchool of Public Health, Curtin University, Perth, WA, Australia.
Madeleine KingSchool of Psychology, Faculty of Science, University of Sydney, Sydney, NSW, Australia.
Bernhard HolznerDivision of Psychiatry II, Department of Psychiatry, Psychotherapy and Psychosomatics, Medical University of Innsbruck, Innsbruck, Austria.
Rosalie VineyCentre for for Health Economics Research and Evaluation (CHERE), UTS Business School University of Technology Sydney (UTS), Sydney, NSW, Australia.
Georg KemmlerDivision of Psychiatry I, Department of Psychiatry, Psychotherapy and Psychosomatics, Medical University of Innsbruck, Innsbruck, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveThe EORTC Quality of Life Utility Measure-Core 10 Dimensions (QLU-C10D) is a new multi-attribute utility instrument derived from the EORTC Quality of Life Questionnaire-Core 30 (QLQ-C30), a widely used cancer-specific quality-of-life questionnaire. It covers ten dimensions: physical, role functioning, social, emotional functioning, pain, fatigue, sleep, appetite, nausea and bowel problems. To allow national health preferences to be reflected, country-specific valuations are being performed through collaboration between the Multi-Attribute Utility Cancer (MAUCa) Consortium and the EORTC. The aim of this study was to determine the utility weights for health states in the French version of the QLU-C10D.

methodsValuations were run in a web-based setting in a general population sample of 1033 adults. Utilities were elicited using a discrete-choice experiment (DCE). Data were analyzed by conditional logistic regression and mixed logits.

resultsThe sample was representative of the general French population in terms of gender and age. Dimensions with the largest impact on utility weights were, in this order: physical functioning, pain and emotional functioning. The impact on utilities was lower for role functioning, nausea, bowel problems and social functioning. The dimensions of sleep, fatigue and lacking appetite were associated with the smallest utility decrement.

conclusionThe results of the present study provide utility weights for the QLU-C10D and offer interesting prospects, as some cancer-specific dimensions also received sizeable utility weights (nausea and bowel problems). In fact, the EQ-5D and the HUI 3 are recommended in France and commonly used for cancer-related CUA; however, both these instruments are generic. The availability of a new cancer-specific utility instrument, such as the QLU-C10D, could improve the quality and the pertinence of future CUA in oncology.

Indexed as

NeoplasmsQuality of LifeAdultDrugs, GenericHumansLogistic ModelsSurveys and QuestionnairesDrugs, Generic

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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.