Item request has been placed! ×
Item request cannot be made. ×
loading  Processing Request

Nutrition Screening and Assessment Tools for Adult Patients with Cancer and Survivors of Cancer: A Systematic Review.

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
  • معلومة اضافية
    • نبذة مختصرة :
      Malnutrition and nutrition impact symptoms are common during and after anticancer treatment. This systematic review aimed to identify nutrition screening and assessment tools validated in patients with cancer and/or survivors, and to provide an overview. Comprehensive searches were conducted. Covidence was used for reference screening, data extraction, and quality assessment by two reviewers independently. Studies were included if they tested concurrent validity of a tool reporting: sensitivity, specificity, area under the curve (AUC), Pearson's/Spearman's correlation coefficient, or kappa. Data were summarized in tables and described narratively. Of 6,332 screened records, 486 were full-text reviewed, and 98 articles covering 161 validation studies of 47 tools were included. Most articles included mixed cancer diagnoses, followed by head and neck and gastrointestinal cancer; few included survivors. The most frequently validated tools were Nutritional Risk Screening 2002 (NRS 2002), Malnutrition Screening Tool (MST), Malnutrition Universal Screening Tool (MUST), and the Scored Patient-Generated Subjective Global Assessment (PG-SGA). Several reference standards were used. Sensitivity ranged from 6% to 100%, specificity from 11% to 100%, and validity from 'Poor' to 'Good'. The absence of a universal gold standard complicates identification of a superior tool. Nonetheless, rather than ranking tools, this review provides an overview of their validity across different reference standards, offering guidance for clinicians. PROSPERO: CRD42018096678. [ABSTRACT FROM AUTHOR]
    • نبذة مختصرة :
      Copyright of Nutrition & Cancer is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)