Evidence map›Paper›PMID 22123196›Full record

ArticleHealth and quality of life outcomes2011

The ability of cancer-specific and generic preference-based instruments to discriminate across clinical and self-reported measures of cancer severities.

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

Abstract readValidation Study
In one paragraph

Article in Health and quality of life outcomes, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

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

  1. Updating our understanding of health-related quality of life issues in children with cancer: a systematic review of patient-reported outcome measures and qualitative studies.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023
    Pooled it
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  9. Construct Validity of the EuroQoL-5 Dimension and the Health Utilities Index in Head and Neck Cancer.Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery · 2022
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  12. A Meta-Regression Analysis of Utility Weights for Breast Cancer: The Power of Patients' Experience.International journal of environmental research and public health · 2020
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  17. Comparison of the EQ-5D-3L and the SF-6D (SF-12) contemporaneous utility scores in patients with cardiovascular disease.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2017
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  19. QLU-C10D: a health state classification system for a multi-attribute utility measure based on the EORTC QLQ-C30.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2016
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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

7 authors.

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

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the validity of cancer-specific and generic preference-based instruments to discriminate across different measures of cancer severities.

methodsPatients with breast (n = 66), colorectal (n = 57), and lung (n = 61) cancer completed the EORTC QLQ-C30 and the FACT-G, as well as three generic instruments: the EQ-5D, the SF-6D, and the HUI2/3. Disease severity was quantified using cancer stage, Eastern Cooperative Oncology Group Performance Status (ECOG-PS) score, and self-reported health status. Comparative analyses confirmed the multi-dimensional conceptualization of the instruments in terms of construct and convergent validity.

resultsIn general, the instruments were able to discriminate across severity measures. The instruments demonstrated moderate to strong correlation with each other (r = 0.37-0.73). Not all of the measures could discriminate between different groups of disease severity: the EQ-5D and SF-6D were less discriminative than the HUI2/3 and the cancer-specific instruments.

conclusionThe cancer-specific and generic preference-based instruments demonstrated to be valid in discriminating across levels of ECOG-PS scores and self-reported health states. However, the usefulness of the generic instruments may be limited if they are not able to detect small changes in health status within cancer patients. This raises concerns regarding the appropriateness of these instruments when comparing different cancer treatments within an economic evaluation framework.

Indexed as

Severity of Illness IndexAnalysis of VarianceBreast NeoplasmsColorectal NeoplasmsFemaleHumansLung NeoplasmsMaleMiddle AgedPsychometricsQuality of LifeSelf DisclosureStatistics, NonparametricSurveys and Questionnaires

Identifiers

PMID22123196
PMCPMC3236471

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.