Table 2.
Univariable and multivariable Cox models for predictors of metastasis-free probability (N=254)
| Univariable | Multivariable | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| N(E) | HR | [95% CI] | p-value | N(E) | HR | [95% CI] | p-value | ||
| VHL | Yes | 152 (48) | 1.41 | [0.86 2.32] - |
0.18 | --- | |||
| No | 102 (23) | REF | --- | ||||||
| PBRM1 | Yes | 91 (34) | 1.78 | [1.112.83] - |
0.016 | 1.41 | [0.85 2.35] - |
0.18 | |
| No | 163 (37) | REF | --- | ||||||
| SETD2 | Yes | 32 (19) | 3.30 | [1.94 5.59] - |
<.001 | 2.09 | [1.19 3.67] - |
0.011 | |
| No | 222 (52) | REF | --- | ||||||
| BAP1 | Yes | 19 (9) | 2.44 | [1.21 4.93] - |
0.013 | 0.83 | [0.37 1.87] - |
0.65 | |
| No | 235 (62) | REF | --- | ||||||
| KDM5C | Yes | 19 (8) | 1.58 | [0.76 3.31] - |
0.22 | --- | |||
| No | 235 (63) | REF | --- | ||||||
| Nomogram Linear Predictor* | 254 (71) | 2.62 | [2.10 3.27] - |
<.001 | 2.58 | [2.01 3.30] - |
<.001 | ||
The nomogram linear predictor includes the following factors: age, gender, mode of presentation, evidence of lymphadenopathy, evidence of necrosis and tumor size based on preoperative imaging.
The following equation from Raj et al, was used to calculate the value of the nomogram linear predictor: −3.1830084 − 0.00065242845*age + 0.10166342*gender + 0.56585476*presentation + 1.0072686*lymphadenopathy + 0.26592168*necrosis + 0.65408506*size - 0.0086883408*max(size-2, 0)**3 + 0.013366678*max(size-4.8, 0)**3-0.0046783373*max(size-10, 0)**3. Size was treated as a cubic spline.
N = Total # patients for level; E = # events for level; HR = hazard ratio; 95%CI = 95% confidence interval