Diagnostic Performance of SGA, PG-SGA and MUST for Malnutrition Assessment in Adult Cancer Patients: A Systematic Literature Review and Hierarchical Bayesian Meta-Analysis
Rena Nakyeyune, Xiaoli Ruan, Yi Shen, Yi Shao, Chen Niu, Zhaoping Zang, Fen Liu
Abstract
Because cancer-associated malnutrition is a major health complication, timely nutritional screening is of utmost importance. The aim of this study was to conduct a systematic literature review and meta-analysis of three tools in order to identify the method with the best diagnostic performance. PubMed, EMBASE and Cochrane central register of controlled trials were searched for articles published from database inception to January 2021. Studies that assessed the diagnostic accuracy of the SGA, PG-SGA or MUST in adult cancer patients were included. In order to evaluate the quality of each included study, the QUADAS-2 tool was used after which a meta-analysis was conducted using the hierarchical bivariate model. This model accounts for both within and between study variability. 16 studies (18 datasets) were included to evaluate these tools. The overall sensitivity and specificity for SGA was 0.69 and 0.80, 0.95 and 0.81 for PG-SGA, along with 0.83 and 0.83 for MUST respectively. An assessment of the likelihood ratios showed that PG-SGA had the highest LR + and the lowest LR-, it therefore has the best diagnostic performance to confirm malnutrition in adult cancer patients.