Abstract:Background
Cancer patients have a high incidence of malnutrition, but traditional nutritional screening tools have low sensitivity and specificity, so they cannot properly stratify patient prognosis. Thus, we aimed to identify the nutritional indexes associated with patient prognosis, construct a prognostic model, and develop a nomogram for predicting individual survival probability.
Methods
Based on real-world data, patients admitted to the Department of Chemotherapy & Radiotherapy in Taizhou Cancer Hos… Show more
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