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review of literature on clinical pancreatology - The Pancreapedia

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Quality <str<strong>on</strong>g>of</str<strong>on</strong>g> lifeTo develop a disease-specific questi<strong>on</strong>naire for identifying domains having the greatestimpact <strong>on</strong> the quality <str<strong>on</strong>g>of</str<strong>on</strong>g> life (QOL) <str<strong>on</strong>g>of</str<strong>on</strong>g> patients with neuroendocrine tumors (NETS) patientresp<strong>on</strong>ses to <strong>clinical</strong> interviews provided an 80-item initial pool for the development <str<strong>on</strong>g>of</str<strong>on</strong>g> theQOL-NET. <strong>The</strong> Delphi panel <str<strong>on</strong>g>review</str<strong>on</strong>g>ed the items for c<strong>on</strong>tent validity; the patient focus group<str<strong>on</strong>g>review</str<strong>on</strong>g>ed the items for c<strong>on</strong>tent/readability. Domains were derived from analysis <str<strong>on</strong>g>of</str<strong>on</strong>g>224questi<strong>on</strong>naire resp<strong>on</strong>ses. After principal comp<strong>on</strong>ents analysis, a scree plot suggested 7domains. Exploratory factor analysis with forced 7-factor varimax rotati<strong>on</strong> determined anideal structure. Reliability/reproducibility was determined by test/retest 4 to 6 weeks apart.Logistic regressi<strong>on</strong> determined each domain score. All 7 domains exhibited str<strong>on</strong>g internalc<strong>on</strong>sistency. Physical functi<strong>on</strong>ing c<strong>on</strong>tributed 40 percent <str<strong>on</strong>g>of</str<strong>on</strong>g> the total QOL score, followed byflushing, gastrointestinal symptoms, respiratory, cardiovascular, depressi<strong>on</strong>, and attitudedomains. Most items loaded 0.40 or higher. No significant differences in test and retestscores. <strong>The</strong> mean values for the total QOL and 4 <str<strong>on</strong>g>of</str<strong>on</strong>g> 7 factor scores were significantly higherfor NETS than c<strong>on</strong>trols: sensitivity was 71 percent and specificity was 70 percent todiscriminate the NETS from the c<strong>on</strong>trols. Thus, though the QOL-NET is reliable andreproducible it <strong>on</strong>ly weakly identifies NETS [690].

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