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Can subjective global assessment of nutritional status predict survival in ovarian cancer?

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Can subjective global assessment of nutritional status predict survival in ovarian cancer?

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ABSTRACT: BACKGROUND: Malnutrition is a significant problem in patients with ovarian cancer. The goal of this study was to investigate the prognostic role of Subjective Global Assessment (SGA) in patients with ovarian cancer treated in an integrative cancer treatment setting. METHODS: We evaluated a case series of 132 ovarian cancer patients treated at Cancer Treatment Centers of America(R) from Jan 2001 to May 2006. SGA was used to assess nutritional status at baseline. Using SGA, patients were classified as well nourished (SGA A), moderately malnourished (SGA B) or severely malnourished (SGA C). Kaplan Meier method was used to calculate survival. Cox proportional hazard models were constructed to evaluate the prognostic effect of SGA independent of other factors. RESULTS: Of 132 patients, 24 were newly diagnosed while 108 had received prior treatment. 15 had stage I disease at diagnosis, 8 stage II, 85 stage III and 17 stage IV. The median age at presentation was 54.4 years (range 25

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