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Nomograms for Prediction of Disease Recurrence in Patients with Primary Ta, T1 Transitional Cell Carcinoma of the Bladder

We developed nomograms to predict disease recurrence in patients with Ta, T1 transitional cell carcinoma of the bladder. Thirty-eight training hospitals participated in this retrospective multicenter study. Between 1998 and 2002, a total of 1,587 patients with newly diagnosed non-muscle invasive bla...

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Autores principales: Hong, Sung Joon, Cho, Kang Su, Han, Mooyoung, Rhew, Hyun Yul, Kim, Choung-Soo, Ryu, Soo Bang, Sul, Chong Koo, Chung, Moon Kee, Park, Tong Choon, Kim, Hyung Jin
Formato: Texto
Lenguaje:English
Publicado: The Korean Academy of Medical Sciences 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2526537/
https://www.ncbi.nlm.nih.gov/pubmed/18583878
http://dx.doi.org/10.3346/jkms.2008.23.3.428
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author Hong, Sung Joon
Cho, Kang Su
Han, Mooyoung
Rhew, Hyun Yul
Kim, Choung-Soo
Ryu, Soo Bang
Sul, Chong Koo
Chung, Moon Kee
Park, Tong Choon
Kim, Hyung Jin
author_facet Hong, Sung Joon
Cho, Kang Su
Han, Mooyoung
Rhew, Hyun Yul
Kim, Choung-Soo
Ryu, Soo Bang
Sul, Chong Koo
Chung, Moon Kee
Park, Tong Choon
Kim, Hyung Jin
author_sort Hong, Sung Joon
collection PubMed
description We developed nomograms to predict disease recurrence in patients with Ta, T1 transitional cell carcinoma of the bladder. Thirty-eight training hospitals participated in this retrospective multicenter study. Between 1998 and 2002, a total of 1,587 patients with newly diagnosed non-muscle invasive bladder cancer were enrolled in this study. Patients with prior histories of bladder cancer, non-transitional cell carcinoma, or a follow-up duration of less than 12 months were excluded. With univariate and multivariate logistic regression analyses, we constructed nomograms to predict disease recurrence, and internal validation was performed using statistical techniques. Three-year and five-year recurrence-free rates were 64.3% and 55.3%, respectively. Multivariate analysis revealed that age (hazard ratio [HR]=1.437, p<0.001), tumor size (HR=1.328, p=0.001), multiplicity (HR=1.505, p<0.001), tumor grade (HR=1.347, p=0.007), concomitant carcinoma in situ (HR=1.611, p=0.007), and intravesical therapy (HR=0.681, p<0.001) were independent predictors for disease recurrence. Based on these prognostic factors, nomograms for the prediction of disease recurrence were developed. These nomograms can be used to predict the probability of disease recurrence in patients with newly diagnosed Ta, T1 transitional cell carcinoma of the bladder. They may be useful for patient counseling, clinical trial design, and patient follow-up planning.
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spelling pubmed-25265372008-11-07 Nomograms for Prediction of Disease Recurrence in Patients with Primary Ta, T1 Transitional Cell Carcinoma of the Bladder Hong, Sung Joon Cho, Kang Su Han, Mooyoung Rhew, Hyun Yul Kim, Choung-Soo Ryu, Soo Bang Sul, Chong Koo Chung, Moon Kee Park, Tong Choon Kim, Hyung Jin J Korean Med Sci Original Article We developed nomograms to predict disease recurrence in patients with Ta, T1 transitional cell carcinoma of the bladder. Thirty-eight training hospitals participated in this retrospective multicenter study. Between 1998 and 2002, a total of 1,587 patients with newly diagnosed non-muscle invasive bladder cancer were enrolled in this study. Patients with prior histories of bladder cancer, non-transitional cell carcinoma, or a follow-up duration of less than 12 months were excluded. With univariate and multivariate logistic regression analyses, we constructed nomograms to predict disease recurrence, and internal validation was performed using statistical techniques. Three-year and five-year recurrence-free rates were 64.3% and 55.3%, respectively. Multivariate analysis revealed that age (hazard ratio [HR]=1.437, p<0.001), tumor size (HR=1.328, p=0.001), multiplicity (HR=1.505, p<0.001), tumor grade (HR=1.347, p=0.007), concomitant carcinoma in situ (HR=1.611, p=0.007), and intravesical therapy (HR=0.681, p<0.001) were independent predictors for disease recurrence. Based on these prognostic factors, nomograms for the prediction of disease recurrence were developed. These nomograms can be used to predict the probability of disease recurrence in patients with newly diagnosed Ta, T1 transitional cell carcinoma of the bladder. They may be useful for patient counseling, clinical trial design, and patient follow-up planning. The Korean Academy of Medical Sciences 2008-06 2008-06-20 /pmc/articles/PMC2526537/ /pubmed/18583878 http://dx.doi.org/10.3346/jkms.2008.23.3.428 Text en Copyright © 2008 The Korean Academy of Medical Sciences http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Hong, Sung Joon
Cho, Kang Su
Han, Mooyoung
Rhew, Hyun Yul
Kim, Choung-Soo
Ryu, Soo Bang
Sul, Chong Koo
Chung, Moon Kee
Park, Tong Choon
Kim, Hyung Jin
Nomograms for Prediction of Disease Recurrence in Patients with Primary Ta, T1 Transitional Cell Carcinoma of the Bladder
title Nomograms for Prediction of Disease Recurrence in Patients with Primary Ta, T1 Transitional Cell Carcinoma of the Bladder
title_full Nomograms for Prediction of Disease Recurrence in Patients with Primary Ta, T1 Transitional Cell Carcinoma of the Bladder
title_fullStr Nomograms for Prediction of Disease Recurrence in Patients with Primary Ta, T1 Transitional Cell Carcinoma of the Bladder
title_full_unstemmed Nomograms for Prediction of Disease Recurrence in Patients with Primary Ta, T1 Transitional Cell Carcinoma of the Bladder
title_short Nomograms for Prediction of Disease Recurrence in Patients with Primary Ta, T1 Transitional Cell Carcinoma of the Bladder
title_sort nomograms for prediction of disease recurrence in patients with primary ta, t1 transitional cell carcinoma of the bladder
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2526537/
https://www.ncbi.nlm.nih.gov/pubmed/18583878
http://dx.doi.org/10.3346/jkms.2008.23.3.428
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