Table 4. Univariable survival analysis for predictors of OS, CSS, and RFS.

Cox proportional hazard modeling was used for OS, while competing risk subdistribution hazard modeling was used for CSS and RFS.

	OS		CSS		RFS
Predictor	HR & 95% CI	p-value	HR & 95% CI	p-value	HR & 95% CI	p-value
pT3a features	2.7 (1.5 - 5.1)	0.005	9.4 (2.14, 41.27)	0.003	3.58 (1.55, 8.26)	0.003
Adverse RFs	1.8 (1.04 – 3.02)	0.046	2.08 (0.4, 10.8)	0.38	1.43 (0.62, 3.3)	0.4
Radical nephrectomy	4.7 (2.4 – 9.22)	< 0.001	4.43 (0.55, 35.88)	0.17	2.59 (0.79, 8.51)	0.12
Age at nephrectomy	1.1 (1.06 - 1.11)	< 0.001	1.2 (1.05, 1.38)	0.01	1.05 (1.02, 1.09)	0.005
Tumor size on pathology (max diameter in cm)	1.45 (1.14 - 1.84)	0.003	1.95 (1.18, 3.22)	0.01	1.64 (1.13, 2.39)	0.009
ccRCC histology	1.32 (0.81 - 2.17)	0.26	0.81 (0.18, 3.64)	0.79	0.9 (0.45, 1.83)	0.78
Positive surgical margins	1.01 (0.37 - 2.78)	0.98	2.74 (0.31, 24.18)	0.36	1.15 (0.27, 4.82)	0.85
Charlson Comorbidity Index	1.39 (1.24 - 1.56)	< 0.001	1.69 (1.28, 2.23)	<0.001	1.53 (1.32, 1.78)	<0.001