2006The Japanese Journal of UrologyOpen access

ANALYSIS OF FACTORS AFFECTING RECCURENCE AND PROGNOSIS OF SUPERFICIAL BLADDER CANCER

Toru Yamada, Tomohiro Tsuchiya, Shingo Kamei, Mutsumasa Yoh, Yoshinori Nishino, Yasuyuki Nishida, Mitsuhiro Taniguchi, Tsukasa Nagai, Toshimi Takeuchi, Hidetoshi Ehara, Yoshito Takahashi, Takashi Deguchi

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Abstract

PURPOSE: The purpose of the present paper was to evaluate clinical factors responsible for recurrence and prognosis of superficial bladder cancer. SUBJECTS AND METHOD: We reviewed date from 800 patients who were initially treated between 1991 and 2000. Recurrent and prognostic factors were examined with univariate and multivariate analysis. Kaplan-Meier Method and log rank test were used for comparing the significance of recurrence free curve and survival curve. Cox's proportional hazard model was used for univariate and multivariate analysis. A 5% level of significance was used for all statistical testing. RESULTS: Of 800 cases 282 patients (35.2%) had recurrence and 27 patients (3.4%) were died in during follow up. Progression was defined as the development of muscle invasion or metastasis, progression were noted on 10 metastasis cases and 16 muscle invasion cases. Univariate analysis revealed that tumor numbers, shape, size, stage and grade were significant recurrent and prognostic factors. Multivariate analysis revealed that tumor numbers (P<0.0001), shape (P = 0.066) and size (P = 0.0178) were significant recurrent factors, and tumor shape (P = 0.0422), size (P = 0.0140) and stage (P = 0.0330) were significant prognostic factors. Of 272 recurrent cases, univariate analysis revealed that tumor shape, stage and grade were significant prognostic factors, and multivariate analysis revealed that tumor shape (P = 0.0164) and stage (P = 0.0017) were significant prognostic factors. CONCLUSION: We conclude that tumor numbers, shape and size are predictive value in recurrence and tumor shape, size and stage are predictive value in prognosis, and when recurrent case, tumor shape and stage are predictive value.

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PURPOSE: The purpose of the present paper was to evaluate clinical factors responsible for recurrence and prognosis of superficial bladder cancer. SUBJECTS AND METHOD: We reviewed date from 800 patients who were initially treated between 1991 and 2000. Recurrent and prognostic factors were examined with univariate and multivariate analysis. Kaplan-Meier Method and log rank test were used for comparing the significance of recurrence free curve and survival curve. Cox's proportional hazard model was used for univariate and multivariate analysis. A 5% level of significance was used for all statistical testing. RESULTS: Of 800 cases 282 patients (35.2%) had recurrence and 27 patients (3.4%) were died in during follow up. Progression was defined as the development of muscle invasion or metastasis, progression were noted on 10 metastasis cases and 16 muscle invasion cases. Univariate analysis revealed that tumor numbers, shape, size, stage and grade were significant recurrent and prognostic factors. Multivariate analysis revealed that tumor numbers (P<0.0001), shape (P = 0.066) and size (P = 0.0178) were significant recurrent factors, and tumor shape (P = 0.0422), size (P = 0.0140) and stage (P = 0.0330) were significant prognostic factors. Of 272 recurrent cases, univariate analysis revealed that tumor shape, stage and grade were significant prognostic factors, and multivariate analysis revealed that tumor shape (P = 0.0164) and stage (P = 0.0017) were significant prognostic factors. CONCLUSION: We conclude that tumor numbers, shape and size are predictive value in recurrence and tumor shape, size and stage are predictive value in prognosis, and when recurrent case, tumor shape and stage are predictive value.

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Available abstract

PURPOSE: The purpose of the present paper was to evaluate clinical factors responsible for recurrence and prognosis of superficial bladder cancer. SUBJECTS AND METHOD: We reviewed date from 800 patients who were initially treated between 1991 and 2000. Recurrent and prognostic factors were examined with univariate and multivariate analysis. Kaplan-Meier Method and log rank test were used for comparing the significance of recurrence free curve and survival curve. Cox's proportional hazard model was used for univariate and multivariate analysis. A 5% level of significance was used for all statistical testing. RESULTS: Of 800 cases 282 patients (35.2%) had recurrence and 27 patients (3.4%) were died in during follow up. Progression was defined as the development of muscle invasion or metastasis, progression were noted on 10 metastasis cases and 16 muscle invasion cases. Univariate analysis revealed that tumor numbers, shape, size, stage and grade were significant recurrent and prognostic factors. Multivariate analysis revealed that tumor numbers (P<0.0001), shape (P = 0.066) and size (P = 0.0178) were significant recurrent factors, and tumor shape (P = 0.0422), size (P = 0.0140) and stage (P = 0.0330) were significant prognostic factors. Of 272 recurrent cases, univariate analysis revealed that tumor shape, stage and grade were significant prognostic factors, and multivariate analysis revealed that tumor shape (P = 0.0164) and stage (P = 0.0017) were significant prognostic factors. CONCLUSION: We conclude that tumor numbers, shape and size are predictive value in recurrence and tumor shape, size and stage are predictive value in prognosis, and when recurrent case, tumor shape and stage are predictive value.

Key concepts: Multivariate analysis, Univariate analysis, Univariate, Medicine, Proportional hazards model, Stage (stratigraphy), Bladder cancer, Oncology

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