A Five-Gene Prognostic Nomogram Predicting Disease-Free Survival of Differentiated Thyroid Cancer
Table 4
Multivariate Cox regression analysis.
Clinical features
Nonadjusted
Adjust I
Adjust II
RR (95% CI)
value
RR (95% CI)
value
RR (95% CI)
value
Risk score ()
2.171 (1.626-2.898)
<0.001
2.148 (1.620-2.849)
<0.0001
2.169 (1.636-2.874)
<0.0001
Cancer type, (%)
PTC
1
NA
NA
NA
NA
FTC
1.000 (0.392-2.552)
1.000
Age, (%)
≤55
1
1
1
>55
1.367 (0.579-3.228)
0.476
1.336 (0.580-3.079)
0.496
1.584(0.811-3.093)
0.178
Gender, (%)
Male
1
NA
NA
NA
NA
Female
1.231 (0.619-2.450)
0.553
Tumor size, (%)
≤2 cm
1
1
1
>2 cm
2.306 (0.784-6.784)
0.129
2.339 (0.804-6.804)
0.119
2.444 (0.847-7.054)
0.098
N, (%)
N0
1
1
1
N1
1.673 (0.837-3.344)
0.145
1.644 (0.860-3.143)
0.133
1.739 (0.927-3.261)
0.085
M, (%)
M0 and MX
1
1
1
M1
4.576 (1.523-13.755)
0.0274
4.411 (1.521-12.788)
0.006
4.478 (1.546-12.967)
0.006
Stage, (%)
Stages I and II
1
1
NA
NA
Stages III and IV
1.287 (0.569-2.908)
0.545
1.313 (0.586-2.943)
0.508
Anatomic site, (%)
Unilateral lobe
1
NA
NA
NA
NA
Isthmus
0.689 (0.091-5.183)
0.717
Bilateral lobe
1.354 (0.628-2.916)
0.439
Adjust I model adjusts for parameters with value <0.05 based on univariate Cox regression analysis. Adjust II model adjusts for risk score, age, tumor size, N, and M.
