Author(s)
Musoro J1, Coens C1, Fiteni F2, Pogoda K3, Cardoso F4, Tribius S5, Singer S6, Oosting S7, Russell N8, Simon C9, Jean-Pascal M10, Gregoire V11, Velikova G12, King MT13, Grønvold M14, Cocks K15, Sprangers M16, Eggermont A17, Brandberg Y18, Bottomley A1
1EORTC, Brussels, Belgium, 2University Hospital of Nîmes, Nîmes, France, 3Maria Sklodowska-Curie Institute - Oncology Center, Warsaw, Poland, 4Champalimaud Clinical Centre, Lisbon, Portugal, 5Asklepios Hospital St. Georg, Hamburg, Germany, 6University Medical Centre, Mainz, Germany, 7University Medical Center, Groningen, The Netherlands, 8Netherlands Cancer Institute, Amsterdam, The Netherlands, 9Centre Hospitalier Universitaire Vaudois,, Lausanne, Switzerland, 10St-Luc University Hospital, Brussels, Belgium, 11Centre Léon Bérard, Lyon, France, 12University of Leeds, Leeds, UK, 13University of Sydney, Sydney, Australia, 14Section for Health Services Research University of Copenhagen, Copenhagen, Denmark, 15Adelphi Mill, Bollington, Cheshire, UK, 16Academic Medical Center,, Amsterdam, The Netherlands, 17Université Paris-Sud, Paris, France, 18Karolinska Institutet, Stockholm, Sweden
OBJECTIVES: Health-related quality of life (HRQOL) is increasingly incorporated into cancer clinical trials as an important endpoint. The notion of minimally important difference (MID) is relevant for interpreting differences and changes in HRQOL scores in terms of clinical meaningfulness. MIDs are useful for assessing the benefit of an intervention (e.g. a new treatment) or designing future clinical trials (e.g., determining sample sizes). We aimed to estimate MIDs for interpreting group-level change of QLQ-C30 scores in melanoma (Mel), breast cancer (BC) and head and neck cancer (HNC) patients. METHODS: Data are derived from six published Phase III EORTC trials comprising 3,595 Mel, 616 HNC and 448 BC patients. An anchor-based approach was used where anchors were constructed using clinical data e.g. physician examinations and common terminology criteria for adverse events (CTCAE). A panel of clinicians and methodologist provided independent guidance on anchor selection. Changes in QLQ-C30 scores and anchors were evaluated and pooled across all pairwise time-points. MIDs were estimated via mean change method and linear regression. RESULTS: Performance status (PS) and CTCAEs were sufficiently correlated (r ≥ 0.3) with many of the QLQ-C30 scales while laboratory results yielded no suitable anchors. MIDs varied according to scale, direction (improvement vs deterioration), selected anchor and cancer type. For example, MIDs for the global health status (QL) and social functioning (SF) scales for improvement (deterioration) based on PS as anchor were QL: 8(-9) and SF: 7.7(-7.6) in Mel, QL: 8.2(-4.5) and SF: 6.1(-7.3) in HNC and QL: 12.6 (-7.3) and SF: 6.4(-4.0) in BC. CONCLUSIONS: Our findings provide further evidence that MIDs differ by direction, across QLQ-C30 scales and by cancer type. This reinforces the evidence that there is no single global standard for clinically meaningful change, and highlights the need to update and diversify the current MID standards.
Conference/Value in Health Info
2018-11, ISPOR Europe 2018, Barcelona, Spain
Value in Health, Vol. 21, S3 (October 2018)
Code
PCN378
Topic
Patient-Centered Research
Topic Subcategory
Patient-reported Outcomes & Quality of Life Outcomes
Disease
Oncology