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1The Cox proportional hazards model was used to identify independent prognostic factors.
2A Cox proportional hazards model was used to identify independent prognostic factors.
3In selected cases with adverse prognostic factors immediate cystectomy should be considered.
4Stepwise multivariable Cox regression method was used to evaluate independent prognostic factors.
5Multivariate analysis was done in order to focus on the prognostic factors.
6We evaluated prognostic factors including relapse treatment in patients with recurrent RMA.
7Two-step multivariate analysis was performed to identify the significantly important prognostic factors.
8Cox proportional hazards models were used to identify prognostic factors for survival.
9In multivariate analysis, age, sex, and surgical treatment were favorable prognostic factors.
10Cox's proportional hazards regression analysis was used to determine the prognostic factors.
11Multivariate analysis identified positive RM as one of the independent prognostic factors.
12Independent prognostic factors were investigated using the Cox proportional hazards regression model.
13Nodal involvement, response to chemotherapy, and RT dose were important prognostic factors.
14Differences were estimated with adjustment for known prognostic factors using propensity scores.
15Multivariate analysis demonstrated that tumor grade and STAT5B were independent prognostic factors.
16Tumor size of 5 cm, SMI, and MAI were independent prognostic factors.
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Prognostic factors a través del temps
Prognostic factors per variant geogràfica