Evidence map›Paper›PMID 39304893›Full record

ReviewHealth and quality of life outcomes2024

Estimating the minimally important difference for the EQ-5D-5L and EORTC QLQ-C30 in cancer.

Siobhan Bourke, Bryan Bennett, Yemi Oluboyede, Tara Li, Louise Longworth, Sian Bissell O'Sullivan, Julia Braverman, Ioana-Alexandra Soare, James W Shaw

Abstract readReview
In one paragraph

Review in Health and quality of life outcomes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

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

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  8. Factors associated with health-related quality of life in survivors of childhood-onset and adult-onset cancer compared to controls.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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  15. Unraveling assumptions about clinical relevance in patient-reported outcome data : A qualitative study on perspectives of different interest groups.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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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

9 authors.

Siobhan BourkePutnam, 22-24 Torrington Place, Fitzrovia, London, WC1E 7HJ, UK. siobhan.bourke@putassoc.com.
Bryan Bennett *Bristol Myers Squibb, Uxbridge, England, UK.
Yemi OluboyedePutnam, 22-24 Torrington Place, Fitzrovia, London, WC1E 7HJ, UK.
Tara Li *Putnam, 22-24 Torrington Place, Fitzrovia, London, WC1E 7HJ, UK.
Louise Longworth *Putnam, 22-24 Torrington Place, Fitzrovia, London, WC1E 7HJ, UK.
Sian Bissell O'Sullivan *Putnam, 22-24 Torrington Place, Fitzrovia, London, WC1E 7HJ, UK.
Julia Braverman *Bristol Myers Squibb, Lawrenceville, NJ, USA.
Ioana-Alexandra Soare *Putnam, 22-24 Torrington Place, Fitzrovia, London, WC1E 7HJ, UK.
James W Shaw *Bristol Myers Squibb, Lawrenceville, NJ, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe minimal important difference (MID) is a useful tool to interpret changes in patients' health-related quality of life. This study aims to estimate MIDs for interpreting within-patient change for both components of the EQ-5D-5L questionnaire [EQ-Visual Analogue Scale (EQ-VAS) and utility index] and domains of the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire Core 30 (EORTC QLQ-C30) for cancer patients.

methodsData were obtained from the Cancer 2015 dataset, a longitudinal cohort of Australian cancer patients. Anchor-based approaches were used to estimate MIDs for the EQ-5D-5L index-based utility index [Australia and the United States (US) tariff sets], EQ-VAS scores, and the EORTC QLQ-C30. Clinical [Eastern Cooperative Oncology Group (ECOG) performance status] and patient-reported (items 29 and 30 of the EORTC QLQ-C30 and the EQ-VAS) anchors were assessed for appropriateness by their correlation strength. Clinical change groups (CCGs) were defined a priori for improvement and deterioration based on estimates used in previous literature. MIDs were estimated via linear regression and distribution-based methods.

resultsFor the index-based utility scores in Australia, the anchor-defined MID estimates were 0.01 to 0.06 for improvement and - 0.04 to -0.03 for deterioration, with a weighted value of 0.03 for improvement and deterioration. The EQ-VAS MID estimate was 5 points for both improvement and deterioration. For the EORTC QLQ-C30, changes of at least 3.64 (improvement) and - 4.28 (deterioration) units on the physical functioning scale, 6.31 (improvement) and - 7.11 (deterioration) units on the role functioning scale, 4.65 (improvement) and - 3.41 (deterioration) units on the emotional functioning scale, and 5.41 (improvement) and - 5.56 (deterioration) units on the social functioning scale were estimated to be meaningful.

conclusionThis study identified lower MIDs for the EQ-5D-5L utility index, EQ-VAS, and EORTC QLQ-C30 domain scores, than those reported previously. The use of a real-world cancer-specific panel dataset may reflect smaller MID estimates that are more applicable to cancer patients in the clinical practice, rather than using MIDs that have been estimated from clinical trials.

Indexed as

NeoplasmsQuality of LifeAdultAgedAustraliaFemaleHumansLongitudinal StudiesMaleMiddle AgedMinimal Clinically Important DifferenceSurveys and QuestionnairesCancerEORTC QLQ-C30EQ-5D-5LHealth-related quality of lifeMinimally important differenceOncology

Identifiers

PMID39304893
PMCPMC11416011

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.