Table 1.
Univariate analysisa | Multivariate analysisb | |||||
---|---|---|---|---|---|---|
HR | 95%CI | P-value | HR | 95%CI | P-value | |
CIMP-status | 0.35 | 0.24–0.5 | <0.001 | 0.29 | 0.04–2.19 | 0.232 |
IDH1-status | 0.34 | 0.21–0.55 | <0.001 | 1.8 | 0.23–14.08 | 0.573 |
MGMT-status | 0.69 | 0.54–0.87 | <0.001 | 0.84 | 0.64–1.1 | 0.205 |
Subtype | 0.93 | 0.86–1.01 | 0.07 | - | - | - |
Age | 1.03 | 1.03–1.04 | <0.001 | 1.03 | 1.02–1.04 | <0.001 |
Gender | 1.16 | 0.96–1.41 | 0.13 | - | - | - |
Risk score | 1.57 | 1.3–1.89 | <0.001 | 1.49 | 1.14–1.94 | 0.003 |
These data were used to perform the Cox proportional hazards regression.
Multivariate analysis used stepwise addition of clinical covariates related to survival in univariate analysis (P < 0.01) and the ultimate models contained those covariates that were significantly associated with survival (P < 0.01).