Objective To investigate the prognostic value of patient - generated subjective global assessment PG - SGA for colorectal cancer patients and construct a nutrition - related nomogram integrated with nutritional status with clinicopathologic parameters for survival prediction. Method A retrospective analysis was conducted on 202 colorectal cancer patients who underwent curative resection in Nantong Affiliated Hospital of Nanjing University of Chinese Medicine from January 2016 to January 2020. Preoperative nutritional status was evaluated by PG-SGA and its impact on overall survival OS of colorectal cancer patients was analyzed. The univariate and multivariate Cox regression analysis was used to determine independent prognostic factors. A nomogram model was constructed and its predictive performance was tested by the consistency index C-index and calibration plots. Result According to the PG-SGA 33. 7% of patients had moderate malnutrition and 26. 7% were severely malnourished. Patients with severe malnutrition had a larger tumor diameter P = 0. 044 and a lower proportion of adjuvant chemotherapy following the surgery P = 0. 029 than other patients. The 5-year OS rates of patients with well nutrition moderate malnutrition and severe malnutrition were 81. 6% 63. 2% and 46. 5% respectively. There were significant survival differences between the groups P< 0. 05 . Tumor size P= 0. 046 pT stage P= 0. 002 lymph node metastasis P = 0. 001 vascular invasion P<0. 001 and PG-SGA P<0. 001 were independent prognostic factors for colorectal cancer patients. A nomogram model was developed according to the above prognostic parameters and its C-index was 0. 781 95% CI = 0. 671 - 0. 890 . The calibration plots showed a good consistency between the predicted survival probability and actual survival probability. Conclusion PG-SGA is a useful tool for survival prediction of colorectal cancer patients and it might further optimize the prognostic risk stratification of patients along with clinicopathologic parameters.