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ORIGINAL RESEARCH

Risk Factors and the Role of the Albumin-to-Globulin Ratio in Predicting Recurrence Among Patients with Idiopathic Granulomatous Mastitis

ORCID Icon, , , &
Pages 5401-5412 | Received 09 Jun 2022, Accepted 09 Sep 2022, Published online: 18 Sep 2022

Figures & data

Figure 1 The study flow diagram for selection of patients.

Figure 1 The study flow diagram for selection of patients.

Table 1 Baseline Characteristics and Comparison of Variables Among IGM Recurrence Groups

Table 2 ROC Analysis Results and Sensitivity, Specificity, PPV, NPV, and Likelihood Ratio (+) Values of ALB, Protein, Globulin, and AGR Parameters in IGM Recurrence Prediction

Table 3 The Success of Cut-off Values Determined by ROC Analysis in IGM Recurrence Prediction

Figure 2 Boxplot of the distribution of (A) ALB (Albumin), (B) Protein, (C) Globulin and (D) AGR (Albumin-to-globulin ratio) values among IGM (idiopathic granulomatous mastitis) recurrence groups. Asterisk (*): Extreme outliers are data points that are more extreme than Q1- 3 * IQR or Q3 + 3 * IQR. Circle (o): Mild outliers are data points that are more extreme than Q1- 1.5 * IQR or Q3 + 1.5 * IQR.

Figure 2 Boxplot of the distribution of (A) ALB (Albumin), (B) Protein, (C) Globulin and (D) AGR (Albumin-to-globulin ratio) values among IGM (idiopathic granulomatous mastitis) recurrence groups. Asterisk (*): Extreme outliers are data points that are more extreme than Q1- 3 * IQR or Q3 + 3 * IQR. Circle (o): Mild outliers are data points that are more extreme than Q1- 1.5 * IQR or Q3 + 1.5 * IQR.

Figure 3 The receiver operating characteristic (ROC) curve and the area under the ROC (AUC) of (A) ALB (Albumin), (B) Protein, (C) Globulin and (D) AGR (Albumin-to-globulin ratio) values in IGM (idiopathic granulomatous mastitis) recurrence prediction.

Figure 3 The receiver operating characteristic (ROC) curve and the area under the ROC (AUC) of (A) ALB (Albumin), (B) Protein, (C) Globulin and (D) AGR (Albumin-to-globulin ratio) values in IGM (idiopathic granulomatous mastitis) recurrence prediction.

Table 4 The Results of Univariate and Multivariate Binary Logistic Regression Analysis Performed to Determine the Risk Factors That are Effective in IGM Recurrence