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. 2021 Nov 21;13(22):5842. doi: 10.3390/cancers13225842

Table 4.

Univariate and multivariate Cox regression models for predicting structural recurrence.

Univariate Analysis Multivariate Analysis (Model 1) Multivariate Analysis (Model 2)
HR (95% CI) p HR (95% CI) p HR (95% CI) p
Age 0.98 (0.95–1.00) 0.057
Sex, men 1.39 (0.73–2.64) 0.314
Size 1.19 (0.99–1.42) 0.062
Gross ETE, positive 5.17 (2.74–9.77) <0.001 2.89 (1.47–5.69) 0.002 1.56 (0.75–3.21) 0.232
N stage
0
1a
1b
1.00 (reference)
12.96
(2.78–60.4)
15.42
(3.66–65.2)
0.001
<0.001
8.94
(1.79–44.8)
11.0
(2.52–48.1)
0.008
0.001
4.76
(0.91–24.7)
1.16
(0.20–6.75)
0.064
0.868
LNR (%) 1.05
(1.04–1.06)
<0.001 1.04
(1.02–1.06)
<0.001
Postoperative calcitonin
≥ 5 pg/mL
15.76
(3.80–65.40)
<0.001 5.43
(1.13–26.1)
0.035
Postoperative
CEA
≥5 ng/mL
7.79
(4.11–14.77)
<0.001 2.83
(1.39–5.78)
0.004

HR, hazard ratio; CI, confidence interval; ETE, extra thyroidal extension; LNR, metastatic lymph node ratio; CEA, carcinoembryonic antigen.