EORTC QLQ-C30 descriptive analysis with the qlqc30 command
Caroline Bascoul-Mollevi
Biostatistics Unit
CTD INCa, Institut régional du Cancer de Montpellier
Montpellier, France
[email protected]
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Florence Castan
Biostatistics Unit
CTD INCa, Institut régional du Cancer de Montpellier
Montpellier, France
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David Azria
Department of Radiation Oncology
Institut régional du Cancer de Montpellier
Montpellier, France
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Sophie Gourgou-Bourgade
Biostatistics Unit
CTD INCa, Institut régional du Cancer de Montpellier
Montpellier, France
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Abstract. Health-related quality of life is often an endpoint in oncology clinical
trials. The European Organization for Research and Treatment of Cancer
(EORTC) developed the cancer-specific quality of life questionnaire (QLQ-C30),
which includes five functions, nine symptoms, and a global health status. These
questionnaires are completed by the patients themselves throughout the process
of care. The recommended approaches for processing EORTC QLQ-C30 data are
usually descriptive and graphic.
Our aim was to develop a user-written command that provided an automatic
descriptive analysis of EORTC QLQ-C30 data, consisting of profile plots per
visit and longitudinal plots per functional and symptom scale.
View all articles by these authors:
Caroline Bascoul-Mollevi, Florence Castan, David Azria, Sophie Gourgou-Bourgade
View all articles with these keywords:
qlqc30, health-related quality of life, QLQ-C30, functional scale, symptom scale, profile plot, longitudinal plot
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