OBJECTIVE: To determine clinically meaningful changes (CMCs) for the Functional Assessment of Cancer Therapy-Prostate (FACT-P). METHODS: We obtained data from a Phase III trial of atrasentan in metastatic hormone-refractory prostate cancer patients (n = 809). We determined anchor-based differences using Karnofsky Performance Status (KPS), bone alkaline phosphatase (BAP), hemoglobin, time to disease progression (TTP), adverse events (AE), and survival. One-third and one-half standard deviation and standard error of measurement (SEM) were used as distribution-based criteria for CMCs. Comparison across baseline FACT-P domains and derived scales [FACT-P total score, Trial Outcome Index (TOI) score, prostate cancer subscale (PCS) score, pain-related score, and FACT Advanced Prostate Symptom Index (FAPSI)] were conducted for KPS, BAP, and hemoglobin using Student's t tests. Twelve-week change scores were compared for TTP, AE, and survival using ANCOVA. RESULTS: CMCs were estimated as 6 to 10 for FACT-P total score, 5 to 9 for FACT-P TOI score, 2 to 3 for FACT-P PCS, 1 to 2 for the 4 PCS pain-related questions, and 2 to 3 for FAPSI. CMCs were also estimated using distribution-based criteria. Kappa statistics were computed to determine the degree of correspondence between the recommended guideline of 1.0 SEM and empirically derived standards. Most of the kappas for health-related quality of life domains and SEM standards had "substantial" to "almost perfect" concordance. CONCLUSIONS: The significant relationship between clinical and quality of life data provides support for the use of CMCs to increase interpretability of FACT-P scores.
OBJECTIVE: To determine clinically meaningful changes (CMCs) for the Functional Assessment of Cancer Therapy-Prostate (FACT-P). METHODS: We obtained data from a Phase III trial of atrasentan in metastatic hormone-refractory prostate cancerpatients (n = 809). We determined anchor-based differences using Karnofsky Performance Status (KPS), bone alkaline phosphatase (BAP), hemoglobin, time to disease progression (TTP), adverse events (AE), and survival. One-third and one-half standard deviation and standard error of measurement (SEM) were used as distribution-based criteria for CMCs. Comparison across baseline FACT-P domains and derived scales [FACT-P total score, Trial Outcome Index (TOI) score, prostate cancer subscale (PCS) score, pain-related score, and FACT Advanced Prostate Symptom Index (FAPSI)] were conducted for KPS, BAP, and hemoglobin using Student's t tests. Twelve-week change scores were compared for TTP, AE, and survival using ANCOVA. RESULTS: CMCs were estimated as 6 to 10 for FACT-P total score, 5 to 9 for FACT-P TOI score, 2 to 3 for FACT-P PCS, 1 to 2 for the 4 PCS pain-related questions, and 2 to 3 for FAPSI. CMCs were also estimated using distribution-based criteria. Kappa statistics were computed to determine the degree of correspondence between the recommended guideline of 1.0 SEM and empirically derived standards. Most of the kappas for health-related quality of life domains and SEM standards had "substantial" to "almost perfect" concordance. CONCLUSIONS: The significant relationship between clinical and quality of life data provides support for the use of CMCs to increase interpretability of FACT-P scores.
Authors: Erin Wong; Liying Zhang; Marc Kerba; Palmira Foro Arnalot; Brita Danielson; May Tsao; Gillian Bedard; Nemica Thavarajah; Paul Cheon; Cyril Danjoux; Natalie Pulenzas; Edward Chow Journal: Support Care Cancer Date: 2015-02-10 Impact factor: 3.603
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Authors: Thomas M Atkinson; Tito R Mendoza; Laura Sit; Steven Passik; Howard I Scher; Charles Cleeland; Ethan Basch Journal: Pain Med Date: 2010-01-15 Impact factor: 3.750
Authors: Amy E Lowery; Paul Krebs; Elliot J Coups; Marc B Feinstein; Jack E Burkhalter; Bernard J Park; Jamie S Ostroff Journal: Support Care Cancer Date: 2013-09-10 Impact factor: 3.603
Authors: Roisin F O'Neill; Farhana Haseen; Liam J Murray; Joe M O'Sullivan; Marie M Cantwell Journal: J Cancer Surviv Date: 2015-04-28 Impact factor: 4.442