Evidence map›Paper›PMID 32458409›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2020

EORTC QLU-C10D value sets for Austria, Italy, and Poland.

E M Gamper, M T King, R Norman, F Efficace, F Cottone, B Holzner, G Kemmler, European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Group

Abstract readMulticenter Study
In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 3 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

34 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Article
  7. Article
  8. 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
  9. 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
  10. 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
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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
  16. 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
  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. Article
  20. The EORTC QLU-C10D: the Hong Kong valuation study.The European journal of health economics : HEPAC : health economics in prevention and care · 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

8 authors.

E M GamperDepartment of Psychiatry, Psychotherapy and Psychosomatics, University Hospital Psychiatry II, Medical University of Innsbruck, Innsbruck, Austria. eva-maria.gamper@i-med.ac.at.ORCID http://orcid.org/0000-0002-1700-4054
M T KingSchool of Psychology, Psycho-Oncology Co-operative Sydney, University of Sydney, Camperdown, NSW, 2006, Australia.
R NormanSchool of Public Health, Curtin University, Perth, Australia.
F EfficaceItalian Group for Adult Hematologic Diseases (GIMEMA), Data Center & Health Outcomes Research Unit, Rome, Italy.
F CottoneItalian Group for Adult Hematologic Diseases (GIMEMA), Data Center & Health Outcomes Research Unit, Rome, Italy.
B HolznerDepartment of Psychiatry, Psychotherapy and Psychosomatics, University Hospital Psychiatry II, Medical University of Innsbruck, Innsbruck, Austria.
G KemmlerDepartment of Psychiatry, Psychotherapy and Psychosomatics, University Hospital Psychiatry I, Medical University of Innsbruck, Innsbruck, Austria.
European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop Austrian, Italian, and Polish general population value sets for the EORTC QLU-C10D, a cancer-specific utility instrument based on the EORTC QLQ-C30, and to descriptively compare their index scores for distinct health states.

methodsThe QLU-C10D descriptive system comprises 10 health attributes and each can take on 4 levels. A standardised and pre-tested methodology has been applied for valuations including a web-based discrete choice experiment (DCE). It was administered in 1000 general population respondents per country recruited via online panels, aiming at representativeness for core socio-demographic variables.

resultsIn all three countries, the attributes with the largest impact on utility were physical functioning, pain, and role functioning. Cancer-specific dimensions with the largest impact were nausea and fatigue or bowel problems. Utility values of the worst health state (i.e. severe problems on all 10 dimension) were -0.111 (Austria), 0.025 (Italy), and 0.048 (Poland). Country-specific utilities differed for a selection of health states across the continuum. Austrian utilities were systematically lower for moderately and severely impaired health states.

conclusionQLU-C10D cancer-specific utilities can now be calculated in three more countries. Differences between countries indicate that careful consideration is required when using non-country-specific value sets in economic evaluations.

Indexed as

AdolescentAdultAgedAged, 80 and overAustriaCost-Benefit AnalysisFemaleHumansItalyMaleMiddle AgedPolandQuality of LifeSurveys and QuestionnairesYoung AdultAustriaCancer-specificDiscrete choice experimentEORTC QLQ-C30EORTC QLU-C10DHealth utilitiesItalyPoland

Identifiers

PMID32458409
PMCPMC7434806

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.