RATIONALE: Screening tests may identify people with cancer who are at high risk of losing weight and help doctors plan better treatment. PURPOSE: This clinical trial is studying how well a new screening tool works in predicting weight loss in patients with cancer.
OBJECTIVES: * To identify people with cancer who are at greatest risk of future weight loss by the development of a simple and practical screening tool. * To estimate the reliability of the Appetite and Symptom Questionnaire (part 1). * To develop a screening tool based on the ability of the optimal combination of items from the three measures (ASQ, MUST, CRP) to predict clinically significant weight loss over three months (part 2). * To estimate the sensitivity and specificity at various cut-points of the developed screening tool in predicting clinically significant weight loss (\> 10% weight loss or between 5% and 10% weight loss with a BMI \< 20 kg/m\^2) over three months (part 2). OUTLINE: This is a two-part study. * Part 1: Patients are asked to complete the Appetite and Symptom Questionnaire (ASQ) on two occasions, one week apart. * Part 2: Patients are screened at baseline for risk of malnutrition using the Malnutrition Universal Screening Tool. Blood samples are also taken at this time to establish the level of C-reactive protein and patients complete the ASQ. Patients are weighed using calibrated scales and height measurements are obtained. Patients are asked about unplanned weight loss over the previous 3-6 months. Patients are weighed again at 3 months. Percentage weight loss is calculated at 3 months.
Study Type
INTERVENTIONAL
Purpose
SUPPORTIVE_CARE
Enrollment
220
Queen's Medical Centre
Nottingham, England, United Kingdom
Percentage weight loss by measuring height and weight at baseline and at 3 months
Malnutrition Universal Screening Tool Score at initial screening
Response to the Appetite and Symptom Questionnaire at baseline
Level of blood C-reactive protein at baseline
Clinical condition, defined as diagnosis and stage of disease, treatment, and performance status at baseline
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