Evidence map›Paper›PMID 38183563›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2024

Danish value sets for the EORTC QLU-C10D utility instrument.

Jens Lehmann, Leslye Rojas-Concha, Morten Aagaard Petersen, Bernhard Holzner, Richard Norman, Madeleine T King, Georg Kemmler, EORTC Quality of Life Group

Abstract read
In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

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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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. 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
  4. 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
  5. Article
  6. 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.

Jens LehmannUniversity Hospital of Psychiatry II, Medical University of Innsbruck, Anichstraße 36, 6020, Innsbruck, Austria. jens.lehmann@i-med.ac.at.ORCID http://orcid.org/0000-0002-4670-7517
Leslye Rojas-ConchaPalliative Care Research Unit, Department of Geriatrics and Palliative Medicine GP, Bispebjerg & Frederiksberg Hospital, University of Copenhagen, Copenhagen, Denmark.
Morten Aagaard PetersenPalliative Care Research Unit, Department of Geriatrics and Palliative Medicine GP, Bispebjerg & Frederiksberg Hospital, University of Copenhagen, Copenhagen, Denmark.
Bernhard HolznerUniversity Hospital of Psychiatry II, Medical University of Innsbruck, Anichstraße 36, 6020, Innsbruck, Austria.
Richard NormanSchool of Public Health, Curtin University, Perth, WA, Australia.
Madeleine T KingSchool of Psychology, Faculty of Science, University of Sydney, Sydney, NSW, Australia.
Georg KemmlerUniversity Hospital of Psychiatry I, Medical University of Innsbruck, Innsbruck, Austria.
EORTC Quality of Life Group

Funding

European Organisation for Research and Treatment of Cancer 001-2018
6 · The paper itself

Abstract

purposeIn this study, we developed Danish utility weights for the European Organisation for Research and Treatment of Cancer (EORTC) QLU-C10D, a cancer-specific utility instrument based on the EORTC QLQ-C30.

methodsFollowing a standardized methodology, 1001 adult participants from the Danish general population were quota-sampled and completed a cross-sectional web-based survey and discrete choice experiment (DCE). In the DCE, participants considered 16 choice sets constructed from the key 10 dimensions of the QLU-C10D and chose their preferred health state for each one. Utility weights were calculated using conditional logistic regression with correction for non-monotonicity.

resultsThe sample (n = 1001) was representative of the Danish general population with regard to age and gender. The domains with the largest utility decrements, i.e., the domains with the biggest impact on health utility, were physical functioning (- 0.224), pain (- 0.160), and role functioning (- 0.136). The smallest utility decrements were observed for the domains lack of appetite (- 0.024), sleep disorders (- 0.057), and fatigue (- 0.064). Non-monotonicity of severity levels was observed for the domains sleep disturbances, lack of appetite, and bowel problems. Deviations from monotonicity were not statistically significant.

conclusionThe EORTC QLU-C10D is a relatively new multi-attribute utility instrument and is a promising cancer-specific health technology assessment candidate measure. The country-specific Danish utility weights from this study can be used for cost-utility analyses in Danish patients and for comparison with other country-specific utility data.

Indexed as

NeoplasmsQuality of LifeAdultCross-Sectional StudiesDenmarkHumansLogistic ModelsSurveys and QuestionnairesCancerDenmarkDiscrete choice experimentEORTC QLQ-C30Quality of lifeUtility

Identifiers

PMID38183563
PMCPMC10894119

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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.