Diagnostic accuracy of PG-SGA, mPG-SGA, and GLIM criteria in malnutrition detection and survival prediction in patients with gastric cancer.
[BACKGROUND] This study sought to assess the effectiveness of PG-SGA, mPG-SGA and GLIM criteria for diagnosing malnutrition in individuals with gastric cancer (GC).
- p-value P < 0.001
- Sensitivity 94.7%
- Specificity 97.60%
APA
Qin Y, Xie H, et al. (2026). Diagnostic accuracy of PG-SGA, mPG-SGA, and GLIM criteria in malnutrition detection and survival prediction in patients with gastric cancer.. Nutrition (Burbank, Los Angeles County, Calif.), 148, 113185. https://doi.org/10.1016/j.nut.2026.113185
MLA
Qin Y, et al.. "Diagnostic accuracy of PG-SGA, mPG-SGA, and GLIM criteria in malnutrition detection and survival prediction in patients with gastric cancer.." Nutrition (Burbank, Los Angeles County, Calif.), vol. 148, 2026, pp. 113185.
PMID
42000304
Abstract
[BACKGROUND] This study sought to assess the effectiveness of PG-SGA, mPG-SGA and GLIM criteria for diagnosing malnutrition in individuals with gastric cancer (GC).
[METHODS] A total of 906 patients with confirmed GC diagnosis were recruited for this study. Nutritional screening and diagnosis were performed using NRS2002, AIWW, the PG-SGA, modified PG-SGA (mPG-SGA) and the GLIM criteria. The effectiveness of these instruments was evaluated through multiple metrics, encompassing sensitivity, specificity, positive and negative predictive values along with Kappa (κ) values. Kaplan-Meier and multivariable Cox analyses were used to assess survival.
[RESULTS] Among 906 patients, the diagnosis of malnutrition was made in 76.7% of the patients using the PG-SGA, 73.2% using the mPG-SGA, 55.5% using the GLIM with NRS2002, and 65.3% using the GLIM with AIWW. In the mPG-SGA, GLIM with NRS2002, and GLIM with AIWW, sensitivity was 94.7%, 68.1%, and 78.0%, while specificity was 97.60%, 85.8%, and 76.30%. When comparing malnutrition identification against PG-SGA, the mPG-SGA demonstrated nearly perfect agreement with PG-SGA (κ = 0.88), while the GLIM criteria displayed fair agreement with PG-SGA, revealing a κ value of 0.41 for PG-SGA versus GLIM with NRS2002 and 0.46 (P < 0.001) for PG-SGA versus GLIM with AIWW (P < 0.001). Adjusted hazard ratios for mortality ranged from 1.49 to 1.73 across the four malnutrition assessment tools (all P < 0.05).
[CONCLUSIONS] The mPG-SGA exhibited comparable prognostic performance to PG-SGA and GLIM in individuals with GC and may function as a practical alternative for rapid nutritional assessment in clinical environments.
[METHODS] A total of 906 patients with confirmed GC diagnosis were recruited for this study. Nutritional screening and diagnosis were performed using NRS2002, AIWW, the PG-SGA, modified PG-SGA (mPG-SGA) and the GLIM criteria. The effectiveness of these instruments was evaluated through multiple metrics, encompassing sensitivity, specificity, positive and negative predictive values along with Kappa (κ) values. Kaplan-Meier and multivariable Cox analyses were used to assess survival.
[RESULTS] Among 906 patients, the diagnosis of malnutrition was made in 76.7% of the patients using the PG-SGA, 73.2% using the mPG-SGA, 55.5% using the GLIM with NRS2002, and 65.3% using the GLIM with AIWW. In the mPG-SGA, GLIM with NRS2002, and GLIM with AIWW, sensitivity was 94.7%, 68.1%, and 78.0%, while specificity was 97.60%, 85.8%, and 76.30%. When comparing malnutrition identification against PG-SGA, the mPG-SGA demonstrated nearly perfect agreement with PG-SGA (κ = 0.88), while the GLIM criteria displayed fair agreement with PG-SGA, revealing a κ value of 0.41 for PG-SGA versus GLIM with NRS2002 and 0.46 (P < 0.001) for PG-SGA versus GLIM with AIWW (P < 0.001). Adjusted hazard ratios for mortality ranged from 1.49 to 1.73 across the four malnutrition assessment tools (all P < 0.05).
[CONCLUSIONS] The mPG-SGA exhibited comparable prognostic performance to PG-SGA and GLIM in individuals with GC and may function as a practical alternative for rapid nutritional assessment in clinical environments.
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