Evidence map›Paper›PMID 24289488›Full record

Trial reportHealth and quality of life outcomes2013

Mapping the FACT-G cancer-specific quality of life instrument to the EQ-5D and SF-6D.

Paulos Teckle, Helen McTaggart-Cowan, Kim Van der Hoek, Stephen Chia, Barb Melosky, Karen Gelmon, Stuart Peacock

Abstract readRandomized Controlled TrialValidation Study
In one paragraph

Trial report in Health and quality of life outcomes, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

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

24 citing papers in PubMed.

  1. Trial
  2. Trial
  3. A Text Message Intervention to Minimize the Time Burden of Cancer Care.NEJM catalyst innovations in care delivery · 2025
    Article
  4. Article
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  6. Article
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  11. Mapping the Strengths and Difficulties Questionnaire onto the Child Health Utility 9D in a large study of children.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2019
    Article
  12. Article
  13. Mapping the FACT-B Instrument to EQ-5D-3L in Patients with Breast Cancer Using Adjusted Limited Dependent Variable Mixture Models versus Response Mapping.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2018
    Article
  14. A comparison of the responsiveness of EQ-5D-5L and the QOLIE-31P and mapping of QOLIE-31P to EQ-5D-5L in epilepsy.The European journal of health economics : HEPAC : health economics in prevention and care · 2018
    Article
  15. Review
  16. A preliminary prediction model for potentially guiding patient choices between breast conserving surgery and mastectomy in early breast cancer patients; a Dutch experience.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2018
    Article
  17. Article
  18. Article
  19. Review
  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

7 authors.

Paulos TeckleCanadian Centre for Applied Research in Cancer Control, British Columbia Cancer Agency, Vancouver, BC, Canada. pteckle@bccrc.ca.
Helen McTaggart-Cowan
Kim Van der Hoek
Stephen Chia
Barb Melosky
Karen Gelmon
Stuart Peacock

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo help facilitate economic evaluations of oncology treatments, we mapped responses on cancer-specific instrument to generic preference-based measures.

methodsCancer patients (n = 367) completed one cancer-specific instrument, the FACT-G, and two preference-based measures, the EQ-5D and SF-6D. Responses were randomly divided to form development (n = 184) and cross-validation (n = 183) samples. Relationships between the instruments were estimated using ordinary least squares (OLS), generalized linear models (GLM), and censored least absolute deviations (CLAD) regression approaches. The performance of each model was assessed in terms of how well the responses to the cancer-specific instrument predicted EQ-5D and SF-6D utilities using mean absolute error (MAE) and root mean squared error (RMSE).

resultsPhysical, functional, and emotional well-being domain scores of the FACT-G best explained the EQ-5D and SF-6D. In terms of accuracy of prediction as measured in RMSE, the CLAD model performed best for the EQ-5D (RMSE = 0.095) whereas the GLM model performed best for the SF-6D (RMSE = 0.061). The GLM predicted SF-6D scores matched the observed values more closely than the CLAD and OLS.

conclusionOur results demonstrate that the estimation of both EQ-5D and SF-6D utility indices using the FACT-G responses can be achieved. The CLAD model for the EQ-5D and the GLM model for the SF-6D are recommended. Thus, it is possible to estimate quality-adjusted life years for economic evaluation from studies where only cancer-specific instrument have been administered.

Indexed as

Patient PreferenceAdultAgedBreast NeoplasmsBritish ColumbiaColorectal NeoplasmsFemaleHumansLinear ModelsLung NeoplasmsMaleQuality-Adjusted Life YearsQuality of LifeSurveys and Questionnaires

Identifiers

PMID24289488
PMCPMC4220776

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.