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Screening to Predict Weight Loss in Patients With Cancer

2014-07-24 14:17:07 | BioPortfolio

Summary

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.

Description

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 Design

Primary Purpose: Supportive Care

Conditions

Cachexia

Intervention

laboratory biomarker analysis, physiologic testing, questionnaire administration, management of therapy complications

Location

Queen's Medical Centre
Nottingham
England
United Kingdom
NG7 2UH

Status

Active, not recruiting

Source

National Cancer Institute (NCI)

Results (where available)

View Results

Links

Published on BioPortfolio: 2014-07-24T14:17:07-0400

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