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Trial reportQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2020

Underlying dimensions of the EORTC QLQ-C30 in a Cuban population of patients with advanced non-small cell lung cancer.

Carmen Viada, Carlos Bouza, Martha Fors, Aliuska Frías, Mabel Alvarez, Lázara García, Bárbara Wilkinson, Camilo Rodríguez, Tania Crombet, Javier Ballesteros

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

10 authors.

Carmen ViadaCenter of Molecular Immunology (CIM), Havana, Cuba. carmen@cim.sld.cu.
Carlos BouzaUniversity of Havana, Havana, Cuba.
Martha ForsUniversidad de las Américas, Quito, Ecuador.
Aliuska FríasCenter of Molecular Immunology (CIM), Havana, Cuba.
Mabel AlvarezCenter of Molecular Immunology (CIM), Havana, Cuba.
Lázara GarcíaCenter of Molecular Immunology (CIM), Havana, Cuba.
Bárbara WilkinsonCenter of Molecular Immunology (CIM), Havana, Cuba.
Camilo RodríguezCenter of Molecular Immunology (CIM), Havana, Cuba.
Tania CrombetCenter of Molecular Immunology (CIM), Havana, Cuba.
Javier BallesterosUniversity of the Basque Country, UPV/EHU, Leioa, Spain.ORCID http://orcid.org/0000-0002-6713-1916

Funding

Union for International Cancer Control (UICC) Technical Fellowship Award UICC-TF/17/545061
6 · The paper itself

Abstract

backgroundQuality of Life Core Questionnaire of the European Organization for the Research and Treatment of Cancer (EORTC QLQ-C30) is one of the most used quality of life questionnaires in cancer studies. It provides scores for five functional scales, nine symptom scales, and two single items which assess overall health status and quality of life. However, high correlations among QLQ-C30 items suggest a reduced dimensionality for the scale.

objectiveTo assess the dimensionality of the EORTC QLQ-C30 using item response theory (IRT) in a training sample and confirmatory factor analysis (CFA) in a test sample.

methodsWe analyzed responses to QLQ-C30 from 1,107 patients with advanced lung cancer who were included in five clinical trials of immunotherapy. We used non-parametric and parametric IRT models (Mokken, and Samejima's graded response) in a random training set (n = 332) for initial assessment of dimensions and item characteristics of the QLQ-C30. Finally, we used CFA in the test set (n = 775) to confirm the measurement domains.

resultsMokken model showed that QLQ-C30 fits a unidimensional scale, whereas Samejima model showed that most QLQ-C30 items present adequate difficulty and discrimination. All items showed adequate scalability indexes with an overall scalability of 0.47 (medium scale). The QLQ-C30-reduced dimensionality was confirmed by CFA (comparative fit index = 0.98, root mean square error of approximation = 0.055) with all items presenting factorial loadings > 0.40.

conclusionsThe EORTC QLQ-C30 fits a unidimensional latent construct identified with perceived quality of life in advanced lung cancer patients.

trial registrationRPCEC00000161, RPCEC00000181 and RPCEC00000205.

Indexed as

Carcinoma, Non-Small-Cell LungCubaFemaleHumansLung NeoplasmsMaleQuality of LifeConfirmatory factor analysisEORTC QLQ-C30Item response theoryQuality of life

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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.