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©The Author(s) 2025.
World J Gastroenterol. Jan 28, 2025; 31(4): 101749
Published online Jan 28, 2025. doi: 10.3748/wjg.v31.i4.101749
Published online Jan 28, 2025. doi: 10.3748/wjg.v31.i4.101749
Figure 3 Construction of the nutritional immune-inflammatory status score using the LASSO Cox regression model.
A: Heatmap of the correlations of nutritional-immune-inflammatory related biomarkers; B: LASSO coefficient profiles of the eight features; C: Optimal parameter (lambda) selection in the LASSO model is achieved through ten-fold cross-validation based on minimum criteria, with red points indicating partial likelihood values, gray lines representing standard error (SE), and vertical dashed lines marking the optimal value at 1 standard error (1-s.e.); D-E: The receiver operating characteristic (ROC) curves for predicting OS at 1-, 3-, and 5 years in the training set (D) and the validation set (E). BMI: Body mass index; PLT: Platelet count; LYC: Lymphocyte count; ALB: Albumin; NLR: Neutrophil-to-lymphocyte ratio; PLR: Platelet-to-lymphocyte ratio; LMR: Lymphocyte-to-monocyte ratio; SII: Systemic immune-inflammation index; PNI: Prognostic nutritional index; AGR: Albumin-to-globulin ratio; HALP: Hemoglobin albumin lymphocyte platelet score; AUC: Area under curve.
- Citation: Liu QW, Liu L, Hu JX, Hou JQ, He WB, Shu YS, Wang XL. Nomogram based on a novel nutritional immune-inflammatory status score to predict postoperative outcomes in esophageal squamous cell carcinoma. World J Gastroenterol 2025; 31(4): 101749
- URL: https://www.wjgnet.com/1007-9327/full/v31/i4/101749.htm
- DOI: https://dx.doi.org/10.3748/wjg.v31.i4.101749