Evidence map›Paper›PMID 27567613›Full record

ArticleThe patient2017

EQ-5D Health Utility Scores: Data from a Comprehensive Canadian Cancer Centre.

Hiten Naik, Doris Howell, Susie Su, Xin Qiu, M Catherine Brown, Ashlee Vennettilli, Margaret Irwin, Vivien Pat, Hannah Solomon, Tian Wang and 9 more

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in The patient, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 6 pooled it
11.3field-weighted citation impact, top 2% of its field
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

20 citing papers in PubMed, 6 syntheses or guidelines pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. A Systematic Literature Review of Health Utility Values in Breast Cancer.Medical decision making : an international journal of the Society for Medical Decision Making · 2022
    Pooled it
  5. Pooled it
  6. Pooled it
  7. Implementing a Risk-Stratified National Breast Screening Programme in the United Kingdom: A Model-Based Cost-effectiveness Analysis.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
  8. Article
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  12. Quality of life of patients with hematological malignancies and factors affecting health state utility values.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022
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  17. Observational
  18. Health-related quality of life among cancer survivors in rural China.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2019
    Article
  19. Quality of Life in Palliative Care.Expert review of quality of life in cancer care · 2017
    Article
  20. 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

19 authors at 3 institutions in 1 country.

Hiten NaikPrincess Margaret Cancer Centre, Ontario Cancer Institute, 610 University Ave., Room 7-124, Toronto, ON, M5G2M9, Canada.
Doris HowellPrincess Margaret Cancer Centre, Ontario Cancer Institute, 610 University Ave., Room 7-124, Toronto, ON, M5G2M9, Canada.
Susie SuBiostatistics, Ontario Cancer Institute, Princess Margaret Cancer Centre, Toronto, ON, Canada.
Xin QiuBiostatistics, Ontario Cancer Institute, Princess Margaret Cancer Centre, Toronto, ON, Canada.
M Catherine BrownPrincess Margaret Cancer Centre, Ontario Cancer Institute, 610 University Ave., Room 7-124, Toronto, ON, M5G2M9, Canada.
Ashlee VennettilliPrincess Margaret Cancer Centre, Ontario Cancer Institute, 610 University Ave., Room 7-124, Toronto, ON, M5G2M9, Canada.
Margaret IrwinPrincess Margaret Cancer Centre, Ontario Cancer Institute, 610 University Ave., Room 7-124, Toronto, ON, M5G2M9, Canada.
Vivien PatPrincess Margaret Cancer Centre, Ontario Cancer Institute, 610 University Ave., Room 7-124, Toronto, ON, M5G2M9, Canada.
Hannah SolomonPrincess Margaret Cancer Centre, Ontario Cancer Institute, 610 University Ave., Room 7-124, Toronto, ON, M5G2M9, Canada.
Tian WangPrincess Margaret Cancer Centre, Ontario Cancer Institute, 610 University Ave., Room 7-124, Toronto, ON, M5G2M9, Canada.
Henrique HonPrincess Margaret Cancer Centre, Ontario Cancer Institute, 610 University Ave., Room 7-124, Toronto, ON, M5G2M9, Canada.
Lawson EngPrincess Margaret Cancer Centre, Ontario Cancer Institute, 610 University Ave., Room 7-124, Toronto, ON, M5G2M9, Canada.
Mary MahlerPrincess Margaret Cancer Centre, Ontario Cancer Institute, 610 University Ave., Room 7-124, Toronto, ON, M5G2M9, Canada.
Henry ThaiPrincess Margaret Cancer Centre, Ontario Cancer Institute, 610 University Ave., Room 7-124, Toronto, ON, M5G2M9, Canada.
Valerie HoPrincess Margaret Cancer Centre, Ontario Cancer Institute, 610 University Ave., Room 7-124, Toronto, ON, M5G2M9, Canada.
Wei XuBiostatistics, Ontario Cancer Institute, Princess Margaret Cancer Centre, Toronto, ON, Canada.
Soo Jin SeungHealth Outcomes and PharmacoEconomic (HOPE) Research Centre, Sunnybrook Research Institute, Toronto, ON, Canada.
Nicole MittmannHealth Outcomes and PharmacoEconomic (HOPE) Research Centre, Sunnybrook Research Institute, Toronto, ON, Canada.
Geoffrey LiuPrincess Margaret Cancer Centre, Ontario Cancer Institute, 610 University Ave., Room 7-124, Toronto, ON, M5G2M9, Canada. geoffrey.liu@uhn.ca.
Princess Margaret Cancer Centre · CACancer Care Ontario · CASunnybrook Research Institute

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo improve the precision of health economics analyses in oncology, reference datasets of health utility (HU) scores are needed from cancer survivors across different disease sites. These data are particularly sparse amongst Canadian survivors.

methodsA survey was completed by 1759 ambulatory cancer survivors at the Princess Margaret Cancer Centre which contained demographic questions and the EuroQol-5D (EQ-5D) instrument. Clinical information was abstracted from electronic records and HU scores were calculated using Canadian health state valuations. Construct validity was assessed through correlation of HU and visual analog scale (VAS) scores (Spearman) and by comparing HU scores between performance status groups (effect size). The influence of socio-demographic clinical variables on HU was analyzed by non-parametric between-group comparisons and multiple linear regression.

resultsMean EQ-5D HU scores were derived for 26 cancers. Among all survivors, the mean ± standard error of the mean EQ-5D utility score was 0.81 ± 0.004. Scores varied significantly by performance status (p < 0.0001) and correlated with VAS (Spearman r = 0.61). The cancer sites with the lowest mean HU scores were acute lymphoblastic leukemia (0.70 ± 0.03) and pancreatic cancer (0.76 ± 0.03); testicular cancer (0.89 ± 0.02) and chronic lymphocytic leukemia (0.90 ± 0.05) had the highest mean scores. A multiple regression model showed that scores were influenced by disease site (p < 0.001), education level (p < 0.001), partner status (p < 0.001), disease extent (p = 0.0029), and type of most recent treatment (p = 0.0061).

conclusionsThis work represents the first set of HU scores for numerous cancer sites derived using Canadian preference weights. The dataset demonstrated construct validity and HU scores varied by general socio-demographic and clinical parameters.

Indexed as

Quality of LifeAdultAgedAged, 80 and overCanadaCancer Care FacilitiesCancer SurvivorsFemaleHealth ServicesHumansMaleMiddle AgedNeoplasmsSocioeconomic FactorsSurveys and Questionnaires

Identifiers

PMID27567613
OpenAlexW2509851264

What OpenQuestion holds

Textmetadata
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.