Evidence map›Paper›PMID 27830513›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2017

Condition-specific or generic preference-based measures in oncology? A comparison of the EORTC-8D and the EQ-5D-3L.

Paula K Lorgelly, Brett Doble, Donna Rowen, John Brazier, Cancer 2015 investigators

Abstract read
In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Mapping the modified rankin scale (mRS) onto the assessment of quality of life (AQoL) utilities.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Trial
  3. Trial
  4. Article
  5. Health related quality of life of patients with breast cancer in Malaysia: evidence from EQ-5D-5L and EORTC QLQ-C30.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  6. Article
  7. Trajectory of quality of life among patients with cancer at the end of life: a longitudinal survey study.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Article
  8. Assessing the reliability of a novel cancer-specific multi-attribute utility instrument (FACT-8D) and comparing its validity to EQ-5D-5L in colorectal cancer patients.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
    Article
  9. 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
  10. Article
  11. Cancer population norms using a new value set for the SF-6Dv2 based on the preferences of patients with breast or colorectal cancer in Quebec.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
    Article
  12. Article
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  15. Cognitive impairment and health-related quality of life amongst older Australians: evidence from a longitudinal investigation.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023
    Article
  16. Mapping EORTC-QLQ-C30 onto EQ-5D-5L Index in Indonesian Cancer Patients.Asian Pacific journal of cancer prevention : APJCP · 2023
    Article
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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

5 authors.

Paula K LorgellyOffice of Health Economics, 7th Floor, 105 Victoria Street, London, SW1E 6QT, UK. plorgelly@ohe.org.ORCID 0000-0002-8990-9514
Brett DobleFaculty of Business and Economics, Centre for Health Economics, Monash University, Clayton, VIC, Australia.
Donna RowenSchool of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK.
John BrazierSchool of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK.
Cancer 2015 investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIt has been argued that generic health-related quality of life measures are not sensitive to certain disease-specific improvements; condition-specific preference-based measures may offer a better alternative. This paper assesses the validity, responsiveness and sensitivity of a cancer-specific preference-based measure, the EORTC-8D, relative to the EQ-5D-3L.

methodsA longitudinal prospective population-based cancer genomic cohort, Cancer 2015, was utilised in the analysis. EQ-5D-3L and the EORTC QLQ-C30 (which gives EORTC-8D values) were asked at baseline (diagnosis) and at various follow-up points (3 months, 6 months, 12 months). Baseline values were assessed for convergent validity, ceiling effects, agreement and sensitivity. Quality-adjusted life-years (QALYs) were estimated and similarly assessed. Multivariate regression analyses were employed to understand the determinants of the difference in QALYs.

resultsComplete case analysis of 1678 patients found that the EQ-5D-3L values at baseline were significantly lower than the EORTC-8D values (0.748 vs 0.829, p < 0.001). While the correlation between the instruments was high, agreement between the instruments was poor. The baseline health state values using both instruments were found to be sensitive to a number of patient and disease characteristics, and discrimination between disease states was found to be similar. Mean generic QALYs (estimated using the EQ-5D-3L) were significantly lower than condition-specific QALYs (estimated using the EORTC-8D) (0.860 vs 0.909, p < 0.001). The discriminatory power of both QALYs was similar.

conclusionsWhen comparing a generic and condition-specific preference-based instrument, divergences are apparent in both baseline health state values and in the estimated QALYs over time for cancer patients. The variability in sensitivity between the baseline values and the QALY estimations means researchers and decision makers are advised to be cautious if using the instruments interchangeably.

Indexed as

AgedCohort StudiesFemaleHumansLongitudinal StudiesMaleMedical OncologyMiddle AgedProspective StudiesQuality of LifeSurveys and QuestionnairesCancerCondition-specific non-preference-based measuresGeneric preference-based measuresQuality of life

Identifiers

PMID27830513
PMCPMC5376391

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.