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ORIGINAL RESEARCH

Fibrinogen-to-Neutrophil Ratio as a New Predictor of Central Lymph Node Metastasis in Patients with Papillary Thyroid Cancer and Type 2 Diabetes Mellitus

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Pages 3493-3505 | Received 13 Mar 2022, Accepted 23 Jul 2022, Published online: 27 Nov 2023

Figures & data

Table 1 Baseline Characteristics of the Training Dataset and the External Validation Dataset

Table 2 Correlations Between FNR and Clinical Characteristics in All Cohorts

Table 3 Univariate and Multivariate Analysis of Logistic Regression in the Training Data Set

Figure 1 Nomogram for predicting CLNM in patients with T2DM PTC.

Abbreviation: FNR, fibrinogen-to-neutrophil ratio.
Figure 1 Nomogram for predicting CLNM in patients with T2DM PTC.

Figure 2 Receiver operating characteristic (ROC) curve analysis. (A) Training dataset. (B) External validation dataset.

Figure 2 Receiver operating characteristic (ROC) curve analysis. (A) Training dataset. (B) External validation dataset.

Figure 3 Calibration curve of the nomogram. (A) Training dataset. (B) External validation dataset.

Figure 3 Calibration curve of the nomogram. (A) Training dataset. (B) External validation dataset.

Figure 4 Decision curve analysis (DCA) of nomogram. (A) Training dataset. (B) External validation dataset.

Figure 4 Decision curve analysis (DCA) of nomogram. (A) Training dataset. (B) External validation dataset.

Figure 5 Comparison with original model. (A) Receiver operating characteristic (ROC) curve analysis. (B) Net reclassification index (NRI).

Figure 5 Comparison with original model. (A) Receiver operating characteristic (ROC) curve analysis. (B) Net reclassification index (NRI).