Multivariate analysis of PFS and OS with CAR T-cell therapy
| . | HR (95% CI) . | |
|---|---|---|
| PFS . | OS . | |
| Primary analysis | ||
| Treatment (cilta-cel vs ide-cel) | 0.34 (0.11-1.08) | 0.54 (0.14-2.05) |
| PCL (sPCL vs pPCL) | 1.31 (0.43-4.00) | 2.19 (0.48-9.98) |
| Sensitivity analysis, PCL (sPCL vs pPCL) | 0.91 (0.31-2.68) | 2.27 (0.45-11.46) |
| . | HR (95% CI) . | |
|---|---|---|
| PFS . | OS . | |
| Primary analysis | ||
| Treatment (cilta-cel vs ide-cel) | 0.34 (0.11-1.08) | 0.54 (0.14-2.05) |
| PCL (sPCL vs pPCL) | 1.31 (0.43-4.00) | 2.19 (0.48-9.98) |
| Sensitivity analysis, PCL (sPCL vs pPCL) | 0.91 (0.31-2.68) | 2.27 (0.45-11.46) |
The primary analysis used a single imputation to address missing values in the covariates and applied a method of matching weights. For the sensitivity analysis, we created an additional category to account for the missing covariate values and used the overlap weights. The primary analysis had a sample size of 34 for primary treatment (cilta-cel vs ide-cel). The primary and the sensitivity analyses had a sample size of 25 for PCL treatment (sPCL vs pPCL).