Meta-analysis provides evidence-based effect sizes for a cancer-specific quality-of-life questionnaire, the FACT-G

Elsevier Inc
Publication Type:
Journal Article
Journal of Clinical Epidemiology, 2010, 63 (3), pp. 270 - 281
Issue Date:
Filename Description Size
Thumbnail2010002612OK.pdf321.38 kB
Adobe PDF
Full metadata record
Objective: To compare Cohen's guidelines for small (0.2), medium (0.5), and large (0.8) effect sizes with empirical estimates for a cancer-specific health-related quality-of-life questionnaire (HRQOL), the Functional Assessment of Cancer Therapy - General (FACT-G). Methods: Seventy-one papers satisfied inclusion criteria for meta-analysis. Blinded to the HRQOL results, three experts (with expertise in interpreting the FACT-G questionnaire and managing cancer patients), predicted the relative magnitude of HRQOL mean differences. Size classes (small, medium, large) were defined in terms of relevance to clinical decision making. The experts worked independently and based their predictions on patient characteristics and clinical circumstances. Their judgments were linked with FACT-G results and inverse-varianceweighted mean effect sizes calculated for each size class.
Please use this identifier to cite or link to this item: