ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2025
Developing a patient-based utility value set for the EORTC QLU-C10D using the OPUF method in Chinese cancer patients.
Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Cancer specific health utilities - QLU-C10D country value sets for Belgium, Hungary, Portugal and the Republic of Korea - an international valuation study.The European journal of health economics : HEPAC : health economics in prevention and care · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
objectiveTo develop the online personal utility function (OPUF) survey system for the Quality of Life Utility Measure-Core 10 Dimensions (QLU-C10D) and apply it to derive a Chinese QLU-C10D value set specifically based on cancer patients' preferences from a relatively small sample, and to further develop value sets for different age groups and cancer types.
methodsThis study recruited patients with various cancer types at two hospitals in China between September and November 2024. Each participant completed a full OPUF questionnaire through face-to-face interviews and provided feedback. Personalized QLU-C10D utility functions were estimated for each patient by combining dimension weighting, level rating, and anchoring information. Model coefficients were then aggregated to elicit the social utility function and estimate group-level utility value sets.
resultsA total of 305 cancer patients participated in the OPUF analysis. Over half (56.1%) of the cancer patients expressed a preference for choosing the worst QLU-C10D health state over death. The study found that physical functioning, pain, role functioning, and emotional functioning exhibited greater utility decrements, while symptoms such as fatigue, bowel problems, and nausea had relatively smaller utility decrements. Furthermore, preference heterogeneity was observed across different age groups and cancer types.
conclusionThis study developed the first QLU-C10D utility value set based on cancer patient preferences in China and supports the use of this novel valuation method to develop utility value sets for cancer patients in other countries.
Indexed as
Identifiers
41071442What OpenQuestion holds
Registered trials
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.