Objectives. To develop a prognostic-factors-based predictive model for invasive @entity189 of the @entity1494 derived from statistical comparison of clinical characteristics.Methods. The medical records for @entity1 with invasive @entity150 were reviewed. Clinical data for age, sex, serum @entity880 dehydrogenase, @entity1011 , albumin, alkaline phosphatase, @entity3929 aminotransferase, total @entity648 and hemoglobin levels, white blood cell and platelet counts, positive urine cytology, Eastern Cooperative Oncology Group performance status score, @entity5 size, histologic grading, T stage, presence of lymph node @entity3 , squamous differentiation, @entity3041 , prostatic involvement, Charlson comorbidity index, surgical procedures, and adjuvant chemotherapy status were recorded. Univariate and multivariate analyses were performed to test independent factors for prediction of survival and disease recurrence.Results. After univariate and multivariate analyses, six independent prognostic factors were found: T stage, grading, prostatic involvement, Eastern Cooperative Oncology Group performance status score, and pretreatment serum @entity1011 and albumin levels. A scoring system was developed on the basis the relative risk associated with the proposed prognostic factors and @entity1 were stratified into three groups according to their scores, with statistically significant prognostic differences revealed for each of the between-group comparisons. Independent factors affecting recurrence-free survival and best predicted disease recurrence were pretreatment serum @entity1011 , T stage, and surgical procedure.Conclusions. This prognostic-factors-based risk-stratification model for invasive @entity189 of the @entity1494 may help clinicians predict outcome and select the most appropriate therapeutic modalities. The incidence of recurrent disease is significantly higher for @entity1 with poor renal function before treatment or advanced T stage and those undergoing transurethral @entity5 resection instead of radical cystectomy.

Prognostic-factors-based risk-stratification model for invasive XXXX of the @entity1494 in Taiwan.

@entity1 :: ('9606', 'Species') :: ['patients'] @entity1494 :: ('MESH:D001745', 'Disease') :: ['urinary bladder'] @entity5 :: ('MESH:D009369', 'Disease') :: ['tumor'] @entity648 :: ('MESH:D001663', 'Chemical') :: ['bilirubin'] @entity189 :: ('MESH:D002277', 'Disease') :: ['urothelial carcinoma'] @entity3041 :: ('MESH:D006869', 'Disease') :: ['hydronephrosis'] @entity150 :: ('MESH:D001749', 'Disease') :: ['urinary bladder urothelial carcinoma'] @entity3929 :: ('D000409', 'Chemical') :: ['alanine'] @entity880 :: ('MESH:D019344', 'Chemical') :: ['lactate'] @entity3 :: ('MESH:D009362', 'Disease') :: ['metastases'] @entity1011 :: ('MESH:D003404', 'Chemical') :: ['creatinine']
@entity189 :: (MESH:D002277,Disease) :: ['urothelial carcinoma']
