Volume 23 Issue 7
Jul.  2025
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Article Navigation >  Chinese Journal of General Practice  > 2025  >  23(7): 1244-1248
ZHANG Hui, HE Rongfen, LIU Qun, SHAO Mingli. Study on the predictive value of patient-generated subjective nutrition assessment in the survival outcomes of cancer patients[J]. Chinese Journal of General Practice, 2025, 23(7): 1244-1248. doi: 10.16766/j.cnki.issn.1674-4152.004107
Citation: ZHANG Hui, HE Rongfen, LIU Qun, SHAO Mingli. Study on the predictive value of patient-generated subjective nutrition assessment in the survival outcomes of cancer patients[J]. Chinese Journal of General Practice, 2025, 23(7): 1244-1248. doi: 10.16766/j.cnki.issn.1674-4152.004107
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Study on the predictive value of patient-generated subjective nutrition assessment in the survival outcomes of cancer patients

doi: 10.16766/j.cnki.issn.1674-4152.004107
  • 1.

    Department of Clinical Nutrition, Huaibei People ' s Hospital, Huaibei, Anhui 235000, China

Funds:

 2022AH051431

  • Received Date: 2025-02-03
    Available Online: 2025-10-25
    Abstract
  •   Objective  To systematically investigate the association between patient-generated subjective global assessment (PG-SGA) and the risk of all-cause death in cancer patients, and to clarify its prognostic value.  Methods  A retrospective analysis was conducted on data from patients admitted to the Oncology Department of Huaibei People ' s Hospital from August 1, 2020, to August 31, 2022. Collected data included demographic data, biochemical examination, patient generated subjective global assessment, and other indicators. The clinical outcomes of the patients were obtained through case review or telephone follow-up, with a follow-up duration of 2 years. The main outcome was all-cause death. ROC curve was used to assess the ability of PG-SGA to predict 2-year survival, the and Cox proportional risk model was used to identify factors associated with all-cause death in cancer patients.  Results  Significant differences were found between the survival and non-survival groups in age, sex, hypertension, tumor stage, body mass index, nutritional risk screening 2002 (NRS-2002) grade, PG-SGA, and albumin levels (P < 0.05). Multivariate Cox analysis identified the PG-SGA score as independent risk factor for all-cause mortality in patients. The area under ROC curve for PG-SGA in predicting all-cause death was 0.821 (95% CI: 0.757-0.885, P < 0.001), with a sensitivity of 0.853, specificity of 0.656, and an optimal cut-off value of 5.5. Patients with PG-SGA score ≥6 had a significantly higher risk of mortality.  Conclusion  The PG-SGA is a significant predictor of survival outcomes in cancer patients. Patients with PG-SGA score greater than 5 is associated with an increased risk of all-cause death, highlighting the importance of early identification and timely nutritional intervention.

     

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