TY - JOUR
T1 - Prognostic-factors-based risk-stratification model for invasive urothelial carcinoma of the urinary bladder in Taiwan
AU - Yang, Muh Hwa
AU - Yen, Chueh Chuan
AU - Chen, Po Min
AU - Wang, Wei Shu
AU - Chang, Yen Hwa
AU - Huang, William Ji Shien
AU - Fan, Frank S.
AU - Chiou, Tzeon Jye
AU - Liu, Jin Hwang
AU - Chen, Kuang Kuo
N1 - Funding Information:
This work was supported in part by a grant from the Yen Tjing-Lin Medical Foundation.
PY - 2002
Y1 - 2002
N2 - Objectives. To develop a prognostic-factors-based predictive model for invasive urothelial carcinoma of the urinary bladder derived from statistical comparison of clinical characteristics. Methods. The medical records for patients with invasive urinary bladder urothelial carcinoma were reviewed. Clinical data for age, sex, serum lactate dehydrogenase, creatinine, albumin, alkaline phosphatase, alanine aminotransferase, total bilirubin and hemoglobin levels, white blood cell and platelet counts, positive urine cytology, Eastern Cooperative Oncology Group performance status score, tumor size, histologic grading, T stage, presence of lymph node metastases, squamous differentiation, hydronephrosis, 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 creatinine and albumin levels. A scoring system was developed on the basis the relative risk associated with the proposed prognostic factors and patients 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 creatinine, T stage, and surgical procedure. Conclusions. This prognostic-factors-based risk-stratification model for invasive urothelial carcinoma of the urinary bladder may help clinicians predict outcome and select the most appropriate therapeutic modalities. The incidence of recurrent disease is significantly higher for patients with poor renal function before treatment or advanced T stage and those undergoing transurethral tumor resection instead of radical cystectomy.
AB - Objectives. To develop a prognostic-factors-based predictive model for invasive urothelial carcinoma of the urinary bladder derived from statistical comparison of clinical characteristics. Methods. The medical records for patients with invasive urinary bladder urothelial carcinoma were reviewed. Clinical data for age, sex, serum lactate dehydrogenase, creatinine, albumin, alkaline phosphatase, alanine aminotransferase, total bilirubin and hemoglobin levels, white blood cell and platelet counts, positive urine cytology, Eastern Cooperative Oncology Group performance status score, tumor size, histologic grading, T stage, presence of lymph node metastases, squamous differentiation, hydronephrosis, 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 creatinine and albumin levels. A scoring system was developed on the basis the relative risk associated with the proposed prognostic factors and patients 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 creatinine, T stage, and surgical procedure. Conclusions. This prognostic-factors-based risk-stratification model for invasive urothelial carcinoma of the urinary bladder may help clinicians predict outcome and select the most appropriate therapeutic modalities. The incidence of recurrent disease is significantly higher for patients with poor renal function before treatment or advanced T stage and those undergoing transurethral tumor resection instead of radical cystectomy.
UR - http://www.scopus.com/inward/record.url?scp=0036170399&partnerID=8YFLogxK
U2 - 10.1016/S0090-4295(01)01590-4
DO - 10.1016/S0090-4295(01)01590-4
M3 - Article
C2 - 11834392
AN - SCOPUS:0036170399
SN - 0090-4295
VL - 59
SP - 232
EP - 238
JO - Urology
JF - Urology
IS - 2
ER -