Users Online: 607

Home Print this page Email this page Small font sizeDefault font sizeIncrease font size

Home | About us | Editorial board | Search | Ahead of print | Current issue | Archives | Submit article | Instructions | Subscribe | Contacts | Login 
Year : 2018  |  Volume : 8  |  Issue : 3  |  Page : 79-85

Validation of assessment categories of the patient-generated subjective global assessment tool in classifying the nutritional status of cancer patients

Department of Studies in Food Science and Nutrition, University of Mysore, Mysuru, Karnataka, India

Correspondence Address:
Asna Urooj
Department of studies in Food Science and Nutrition, University of Mysore, Manasagangotri, Mysuru - 570 006, Karnataka
Login to access the Email id

Source of Support: None, Conflict of Interest: None

DOI: 10.4103/ijnpnd.ijnpnd_1_18

Rights and Permissions

Background: The patient-generated-subjective global assessment (PG-SGA) tool is considered as the most appropriate nutrition screening tool in oncological setting, since the scoring system enables the patients to be triaged for nutrition intervention. In this study, an attempt was made to determine the precision in classifying patients with cancer as per the Subjective global assessment (SGA) rating or Nutritional Triage recommendations using the PG-SGA tool. Methods: The study was conducted in cancer hospitals of Mysore, Karnataka, India, to recruit 136 cancer patients receiving treatment during a period of 1 year. The PG-SGA tool version 3.22.15 was used for eliciting information and to assess the nutritional status of cancer patients. Results: Among 136 cancer patients, 95.74%, 97.05%, and 74.54% of head-and-neck cancers (HNC), gastrointestinal cancers (GIC), and other cancers (OC), respectively, were malnourished (SGA B + C) according to the SGA categories (SGAC), whereas 93.61%, 97.05%, and 81.81% of HNC, GIC, and OC, respectively, were categorized under severe nutrition risk as per the scored nutritional triage recommendations (SNTR). SGAC had an area under curve (AUC) of 0.961, whereas nutritional triage recommendations had an AUC of 1.0, signifying higher precision of using SNTR to assess the nutritional risk and need for nutritional intervention among cancer patients. Conclusions: Overall, SNTR is more precise in assessing the nutritional status among cancer patients than SGAC and also helps in developing a better nutritional care plan for effective prognosis.

Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)

 Article Access Statistics
    PDF Downloaded253    
    Comments [Add]    

Recommend this journal