Table 1_Comparative performance of the patient-generated subjective global assessment, European Society for Clinical Nutrition and Metabolism criteria, and Global Leadership Initiative on Malnutrition criteria in patients with colorectal cancer: a multicenter study utilizing Bayesian inference.docx

BackgroundMalnutrition is a common complication among patients with colorectal cancer and has a significant impact on prognosis. However, the lack of a diagnostic gold standard for malnutrition complicates clinical nutritional intervention. This study aimed to compare the diagnostic value of the Patient-Generated Subjective Global Assessment (PG-SGA), European Society for Clinical Nutrition and Metabolism (ESPEN), and Global Leadership Initiative on Malnutrition (GLIM) criteria in identifying malnutrition in patients with colorectal cancer and to assess their ability to predict survival outcomes.
MethodsThis study retrospectively reviewed data from 3,182 patients diagnosed with colorectal cancer in the Investigation on Nutrition Status and Clinical Outcome of Patients with Common Cancers in China database collected between July 2013 and March 2022. Using Bayesian principles, we calculated the sensitivity and specificity of the PG-SGA, ESPEN, and GLIM criteria for diagnosing malnutrition among patients with colorectal cancer. We also analyzed the relation between nutritional diagnosis and patient survival.
ResultsOur findings revealed that the PG-SGA has high sensitivity [0.80, 95% credible interval (CrI): 0.61–0.94] and specificity (0.99, 95% CrI, 0.99–1.00) for diagnosing malnutrition in patients with colorectal cancer. The ESPEN criteria showed high sensitivity (0.84, 95% CrI, 0.80–0.86), whereas the GLIM criteria exhibited high specificity (0.81, 95% CrI, 0.79–0.82). All three nutritional assessment methods were identified as independent risk factors for overall survival. Statistically significant differences in survival periods existed among the GLIM-defined nutritional status subgroups.
ConclusionThe PG-SGA demonstrated superior sensitivity and specificity in diagnosing malnutrition among patients with colorectal cancer. By contrast, the GLIM criteria performed better in predicting survival outcomes. Malnutrition is a significant risk factor that influences the survival of patients with colorectal cancer.