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The Added Value of Analyzing Pooled Health-Related Quality of Life Data: A Review of the EORTC PROBE Initiative.

J Natl Cancer Inst

May 2016

European Organisation for Research and Treatment of Cancer Headquarters, Brussels, Belgium (EZ, CC, DEE, FM, IG, AB); European Centre for Disease Prevention and Control, Surveillance and Response Support, Epidemiological Methods Unit, Stockholm, Sweden (CQ); School of Psychology and Sydney Medical School, University of Sydney, New South Wales, Australia (MTK); School of Population and Public Health, University of British Columbia, Vancouver, Canada (CG); The Princess Margaret Cancer Centre, University of Toronto, Toronto, Canada (JR); Leeds Institute of Cancer and Pathology, University of Leeds, St. James's Hospital, Leeds, UK (GV); Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC (BBR); Obstetrics and Gynecology, Medical University Graz, Graz, Austria (EG); Department of Symptom Research, Division of Internal Medicine, The University of Texas Anderson Cancer Center, Houston, TX (CSC); Clinic for Child and Adolescent Psychiatry and Psychotherapy, University of Magdeburg, Magdeburg, Germany (HF); VU University Medical Center / Medical Center Haaglanden, Amsterdam/The Hague, the Netherlands (MJBT); Tumor Biology Center, University of Freiburg, Freiburg, Germany (JW); Philosophical Faculty, University of Regensburg, Regensburg, Germany (JSvK); The Academic Medical Center, Amsterdam, the Netherlands (MAGS).

Article Synopsis
  • The EORTC PROBE initiative aims to improve the understanding of health-related quality of life (HRQOL) for cancer patients and educate various stakeholders in healthcare.
  • A pooled analysis of HRQOL data from multiple randomized controlled trials revealed that HRQOL can provide valuable prognostic information that enhances accuracy beyond traditional clinical measures.
  • Findings underscore the importance of considering both patient and clinician-reported outcomes, while also highlighting variations in HRQOL interpretation across different patient demographics and the influence of timing on questionnaire responses.
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