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Longitudinal health-related quality of life analysis in oncology with time to event approaches, the STATA command qlqc30_TTD

dc.rights.licenseopenen_US
dc.contributor.authorBASCOUL-MOLLEVI, C.
dc.contributor.authorSAVINA, M.
dc.contributor.authorANOTA, A.
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorBARBIERI, Antoine
dc.contributor.authorAZRIA, D.
dc.contributor.authorBONNETAIN, F.
dc.contributor.authorGOURGOU, S.
dc.date.accessioned2020-10-19T10:23:48Z
dc.date.available2020-10-19T10:23:48Z
dc.date.issued2018-05
dc.identifier.issn0169-2607en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/11419
dc.description.abstractEnBACKGROUND AND OBJECTIVE: Health-related quality of life (HRQoL) has become one relevant and available alternative endpoint of clinical trials in cancer research to evaluate efficiency of care both for the patient and health system. HRQoL in oncology is mainly assessed using the 30-item European Organisation for Research and Treatment of Cancer Quality of Life-Questionnaire Core 30 (EORTC QLQ-C30). The EORTC QLQ-C30 questionnaire is usually assessed at different times along the clinical trials in order to analyze the kinetics of HRQoL evolution and to fully assess the impact of the treatment on the patient's HRQoL level. In this perspective, the realization of a longitudinal HRQoL analysis is essential and the time to HRQoL score deterioration approach is a method which is more and more used in clinical trials. METHOD: Using the Stata software, we developed a QLQ-C30 specific command, qlqc30_TTD, which implements longitudinal strategies based on the time to event methods by considering the time to HRQoL score deterioration. This user-written command providing automatic execution of the Time To Deterioration (TTD) and Time Until Definitive Deterioration (TUDD) methods. RESULT: The program implements all published definitions and provides the Kaplan-Meier curves for each dimension (by group) and a table with the Hazard Ratio and Log-Rank test. CONCLUSION: The longitudinal analysis of HRQoL data in cancer clinical trials remains complex with only few programs like ours computed. This program will be of great help and will allow a more systematic and quicker analysis of the HRQoL data in clinical trials in oncology.
dc.language.isoENen_US
dc.subject.enBiostatistics[[ EPICENE
dc.title.enLongitudinal health-related quality of life analysis in oncology with time to event approaches, the STATA command qlqc30_TTD
dc.title.alternativeComput Methods Programs Biomeden_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1016/j.cmpb.2018.02.010en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed29544781en_US
bordeaux.journalComputer Methods and Programs in Biomedicineen_US
bordeaux.page153-159en_US
bordeaux.volume158en_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - U1219en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.teamEPICENE_BPH
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.identifierhal-02971232
hal.version1
hal.date.transferred2020-10-19T10:23:52Z
hal.exporttrue
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