Evidence map›Paper›PMID 25670839›Full record

ArticleMedical decision making : an international journal of the Society for Medical Decision Making2015

Catalog and comparison of societal preferences (utilities) for lung cancer health states: results from the Cancer Care Outcomes Research and Surveillance (CanCORS) study.

Angela C Tramontano, Deborah L Schrag, Jennifer K Malin, Melecia C Miller, Jane C Weeks, J Shannon Swan, Pamela M McMahon

Abstract read
In one paragraph

Article in Medical decision making : an international journal of the Society for Medical Decision Making, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

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

  1. Health state utility values by cancer stage: a systematic literature review.The European journal of health economics : HEPAC : health economics in prevention and care · 2021
    Pooled it
  2. Article
  3. Lung cancer screening in Lithuania: a cost-effectiveness analysis.Journal of comparative effectiveness research · 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

7 authors.

Angela C TramontanoInstitute for Technology Assessment, Massachusetts General Hospital, Boston, MA (ACT, MCM, JSS, PMM)
Deborah L SchragDna-Farber Cancer Institute, Boston, MA (DLS, JCW)
Jennifer K MalinDavid Geffen School of Medicine at UCLA, Los Angeles, CA (JKM)
Melecia C MillerInstitute for Technology Assessment, Massachusetts General Hospital, Boston, MA (ACT, MCM, JSS, PMM)
Jane C WeeksDna-Farber Cancer Institute, Boston, MA (DLS, JCW)
J Shannon SwanInstitute for Technology Assessment, Massachusetts General Hospital, Boston, MA (ACT, MCM, JSS, PMM)
Pamela M McMahonInstitute for Technology Assessment, Massachusetts General Hospital, Boston, MA (ACT, MCM, JSS, PMM)

Funding

Comparative Modeling of Lung Cancer Control PoliciesU01CA152956 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI DE KONING, HARRY J, KONG, CHUNG YIN · 2010 to 2014
$7.4M
NCI NIH HHS 1U01CA152956NCI NIH HHS U01 CA152956
6 · The paper itself

Abstract

backgroundThe EQ-5D and SF-6D are 2 health-related quality-of-life indexes that provide preference-weighted measures for use in cost-effectiveness analyses.

methodsThe National Cancer Institute's Cancer Care Outcomes Research and Surveillance (CanCORS) Consortium included the EQ-5D and SF-12v2 in their survey of newly diagnosed lung cancer patients. Utilities were calculated from patient-provided scores for each domain of the EQ-5D or the SF-6D. Utilities were calculated for categories of cancer type, stage, and treatment.

resultsThere were 5015 enrolled lung cancer patients with a baseline survey in CanCORS; 2396 (47.8%) completed the EQ-5D, and 2344 (46.7%) also completed the SF-12v2. The mean (standard deviation) utility from the EQ-5D was 0.78 (0.18), and from the SF-6D (derived from SF-12v2) was 0.68 (0.14). The EQ-5D demonstrated a ceiling effect, with 20% of patients reporting perfect scores, translating to a utility of 1.0. No substantial SF-6D floor effects were noted. Utilities increased with age and decreased with stage and comorbidities. Patient-reported (EQ-5D) visual analog scale scores for health status had a moderate (r = 0.48, p < 0.0001) positive correlation with utilities. A subset (n = 1474) completed follow-up EQ-5D questionnaires 11-13 months after diagnosis. Among these patients, there was a nonsignificant decrease in mean utility for stage IV and an increase in mean utility for stages I, II, and III.

conclusionThis study generated a catalog of community-weighted utilities applicable to societal-perspective cost-effectiveness analyses of lung cancer interventions and compared utilities based on the EQ-5D and SF-6D. Potential users of these scores should be aware of the limitations and think carefully about their use in specific studies.

Indexed as

Quality of LifeAgedAged, 80 and overAge FactorsComorbidityCost-Benefit AnalysisFemaleHealth StatusHumansLung NeoplasmsMaleMiddle AgedNeoplasm StagingOutcome Assessment, Health CarePsychometricsQuality-Adjusted Life YearsEQ5Dlung cancerquality-of-lifeSF6Dutilities

Identifiers

PMID25670839
PMCPMC8513729

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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.