Table 2.
Multivariable Cox regression models predicting overall mortality in de novo metastatic prostate cancer patients according to chemotherapy status prior to and after propensity score matching.
Variable of interest | Univariable | Multivariable | |||||
---|---|---|---|---|---|---|---|
Hazard Ratio | 95%-CI | p-value | Hazard Ratio | 95%-CI | p-value | ||
Unmatched data | chemotherapy-exposed vs. naïve | 0.73 | 0.63-0.83 | <0.001 | 0.82 | 0.72-0.96 | 0.01 |
After propensity score matching | chemotherapy-exposed vs. naïve | 0.77 | 0.66-0.90 | 0.001 | 0.77 | 0.66-0.90 | <0.001 |
Cox regression models were adjusted for age, PSA, Gleason Group Grade, cT-stage, cN-stage, cM-stage and local treatment.