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. 2019 Oct 15;29(10):1409–1417. doi: 10.1089/thy.2019.0060

Table 2.

Univariate and Multivariable Analyses of Disease-Specific Survival, Stratified by Surgical and Nonsurgical Management

Characteristic Univariate p Multivariable p
Age at diagnosis 1.091 (1.080–1.102) <0.001 a <0.001
Sex
 Male 1.000 1.000
 Female 0.413 (0.313–0.545) <0.001 0.598 (0.449–0.797) <0.001
Race/ethnicity
 White 1.000 b  
 Black 1.162 (0.671–2.012) 0.593    
 Asian 1.033 (0.647–1.650) 0.892    
 Hispanic 1.388 (0.959–2.009) 0.082    
 Other 0.830 (0.206–3.351) 0.793    
Marital status
 Not married 1.000 1.000
 Married 0.585 (0.447–0.766) <0.001 0.694 (0.523–0.922) 0.012
Region
 West 1.000 b  
 Midwest 0.836 (0.508–1.376) 0.481    
 Southwest 0.800 (0.450–1.422) 0.447    
 East 0.710 (0.527–0.956) 0.024    
Size, cm
 0–1.0 1.000 a <0.001
 1.1–4.0 4.061 (2.766–5.961) <0.001    
 >4.0 24.942 (16.506–37.691) <0.001    
T classification
 T1 1.000 b  
 T2 3.614 (2.364–5.525) <0.001    
 T3 7.049 (4.882–10.179) <0.001    
 T4 51.968 (36.235–74.534) <0.001    
Radioactive iodine
 Not given 1.000 b  
 Given 1.268 (0.966–1.664) 0.087    
Surgery
 No 1.000 1.000
 Yes 0.157 (0.105–0.236) <0.001 0.555 (0.364–0.847) 0.006
a

Age and tumor size were modeled continuously using a restricted cubic spline function with three knots at age 39, 62, 81, and size 2, 11, 35, respectively.

b

Variables dropped from multivariable model through stepwise variable selection.