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. 2022 Apr 26;13:829009. doi: 10.3389/fendo.2022.829009

Table 3.

Univariate and multivariate analyses for logistic regression in the training data set.

Variables Univariate Analysis of preoperative CLNM Multivariate Analysis of preoperative CLNM
OR 95% CI P-value OR 95% CI P-value
Age 0.581 0.334-1.009 0.054 0.0542 0.324-0.904 0.019
>55Y
≤55Y
Gender 0.917 0.506-1.662 0.774
Female
Male
Medicine for diabetes 0.691 0.407-1.174 0.172
Metformin(-)
Metformin(+)
BMI(kg/m2) 2.334 0.411-13.258 0.339
>32.49
≤32.49
Maximum diameter of mass 4.195 2.403-7.323 <0.001 4.243 2.499-7.205 <0.001
>9.5mm
≤9.5mm
Multifocality 0.745 0.389-1.423 0.372
Solitary
Multiple
Laterality 9.022 2.803-29.035 <0.001 8.115 2.603-25.301 <0.001
Unilateral
Bilateral
Hashimoto’s thyroiditis 1.391 0.615-3.148 0.428
Absent
Present
TC(mmol/L) 1.846 0.501-6.801 0.357
>7.235
≤7.235
TG(mmol/L) 1.361 0.577-3.208 0.481
>3.975
≤3.975
Albumin(g/L) 1.278 0.701-2.329 0.423
>42.15
≤42.15
AGR 1.682 0.794-3.563 0.175
>1.25
≤1.25
neutrophil(x10^9) 1.581 0.874-2.859 1.13
>4.395
≤4.395
mononuclear(x10^9) 1.291 0.692-2.409 0.422
>0.355
≤0.355
TSH(mIU/L) 1.697 0.865-3.328 0.124
>0.855
≤0.855
GLR 1.691 0.972-2.941 0.063 1.704 1.021-2.843 0.041
>4.23
≤4.23