Evidence map›Paper›PMID 28948436›Full record

Trial reportThe European journal of health economics : HEPAC : health economics in prevention and care2019

Mapping health-related quality of life scores from FACT-G, FAACT, and FACIT-F onto preference-based EQ-5D-5L utilities in non-small cell lung cancer cachexia.

Michela Meregaglia, Ludovica Borsoi, John Cairns, Rosanna Tarricone

Open access · hybridAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in The European journal of health economics : HEPAC : health economics in prevention and care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
11.9field-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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 22 citations in OpenAlex.

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  13. Quality of Life in Palliative Care.Expert review of quality of life in cancer care · 2017
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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

4 authors at 2 institutions in 3 countries.

Michela MeregagliaCeRGAS (Research Centre on Health and Social Care Management), Bocconi University, Via Roentgen 1, 20136, Milan, Italy. michela.meregaglia@unibocconi.it.ORCID http://orcid.org/0000-0003-0092-5970
Ludovica BorsoiCeRGAS (Research Centre on Health and Social Care Management), Bocconi University, Via Roentgen 1, 20136, Milan, Italy.
John CairnsDepartment of Health Services Research, London School of Hygiene and Tropical Medicine (LSHTM), London, UK.
Rosanna TarriconeCeRGAS (Research Centre on Health and Social Care Management), Bocconi University, Via Roentgen 1, 20136, Milan, Italy.
Bocconi University · ITLondon School of Hygiene & Tropical Medicine · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth-related quality of life (HRQoL) measurements from disease-specific tools cannot be directly used in economic evaluations. This study aimed to develop and validate mapping algorithms that predicted EuroQol 5-Dimensions 5-Levels (EQ-5D-5L) utilities from Functional Assessment of Anorexia-Cachexia Therapy (FAACT) and Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-F) and their common component (Functional Assessment of Cancer Therapy-General-FACT-G) in patients with non-small cell lung cancer cachexia.

methodsData were collected on five occasions over a 12-week period in two multicenter placebo-controlled trials. EQ-5D-5L utilities were calculated using both English and Dutch value sets. The study sample was divided into development and validation datasets according to patients' geographical residence. Generalized estimating equations were applied to five different sets of independent variables including overall, Trial Outcome Index (TOI), and individual subscales results. The best performing models were selected based on mean absolute error (MAE) and root-mean square error (RMSE).

resultsEQ-5D-5L and FAACT/FACIT-F results were available for 96 patients. The developed algorithms showed a good predictive performance, with acceptable MAE/RMSE and small differences between mean observed and predicted EQ-5D-5L utilities. In FACT-G models, Physical Well-Being had the highest explanatory value, while Emotional Well-Being did not significantly affect the EQ-5D-5L score; Anorexia-Cachexia and Fatigue subscales were highly statistically significant in FAACT and FACIT-F models, respectively, as well as the TOI scores. The Eastern Cooperative Oncology Group status was included as covariate in all models.

conclusionThe developed algorithms enable the estimation of EQ-5D-5L utilities from three cancer-specific instruments when preference-based HRQoL data are missing.

Indexed as

Health Status IndicatorsQuality of LifeAdultAgedAged, 80 and overAlgorithmsCachexiaCarcinoma, Non-Small-Cell LungCost-Benefit AnalysisFemaleHumansHydrazinesLung NeoplasmsMaleMiddle AgedNetherlandsanamorelinHydrazinesOligopeptidesEQ-5D-5LFAACTFACIT-FFACT-GMappingNon-small cell lung cancer cachexia

Identifiers

PMID28948436
PMCPMC6438942
OpenAlexW2758510723

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.