Fig. 1 | Scientific Reports

Fig. 1

From: Interpretable machine learning analysis of clinicopathological and immunonutritional biomarkers for predicting lymph node metastasis in gastric cancer

Fig. 1

Forest plot of univariate logistic regression analysis. Red indicates variables with significant associations in univariate analysis, while gray indicates non-significant variables. Dots represent odds ratios (OR), and horizontal lines through the dots represent 95% confidence intervals. MTD, maximum tumor diameter; SII, systemic immune-inflammation index; RAR, red blood cell distribution width-to-albumin ratio; PNI, prognostic nutritional index; PLR, platelet-to-lymphocyte ratio; PAR, platelet-to-albumin ratio; Lauren type, Lauren histological classification; HRR, hemoglobin-to-red blood cell distribution width ratio; FIB, fibrinogen; CEA, carcinoembryonic antigen; AISI, aggregate index of systemic inflammation; NLR, neutrophil-to-lymphocyte ratio; MLR, monocyte-to-lymphocyte ratio; SIRI, systemic inflammatory response index; dNLR, derived neutrophil-to-lymphocyte ratio; PT, prothrombin time; NPR, neutrophil-to-platelet ratio.

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