COX's Regression Model Multifactorial Analysis On The Recurrence Risk Factors In Postoperative Patients With Transitional Cell Carcinoma Of Bladder

Obiective In order to find the best treatment of bladder carcinoma, we studied the recurrence-related factors in postoperative patients with transitional cell carcinoma of bladder. Methods The chinical data of 139 patients with transitional cell carcinoma of bladder were elected from 1995.1.1-2002.12.31 in our hospital, and inputed the data into computer with PEMS statistical soft ware after numbering it. The recurrence-related factors included the patient's age, sex, race, the tumor size, the tumor number, the tumor grade, the clinical stage, intravesical or not and the operational methods. First, COX's regression model was used to analysis the 9 single factor one by one in order to find which fact will influence the tumor recurrence. Finally, the patient' s age , the tumor number and the operational methods were analysised by the COX' s regression model multifactorial analysis. Results: Single factor's analysis of the COX's model revealed that the tumor number (P=0. 004) , the patient' s age (P=0.049), the operational methods(P=0.027) influenced the tumor recurrece, and only the operational methods (P=0.018) and the tumor number (P=0. 040) were the most important factors after using the COX' s regression model multifactorial analysis. Conclusions :Tumor number is the hazards factor to the recurrence, or the operational method is the protective factoragainst recurrence.