Accuracy of the EORTC risk tables and of the CUETO scoring model to predict outcomes in non-muscle-invasive urothelial carcinoma of the bladder

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Accuracy of the EORTC risk tables and of the CUETO scoring model to predict outcomes in non-muscle-invasive urothelial carcinoma of the bladder. / Xylinas, E; Kent, M; Kluth, L; Pycha, A; Comploj, E; Svatek, R S; Lotan, Y; Trinh, Q-D; Karakiewicz, P I; Holmang, S; Scherr, D S; Zerbib, M; Vickers, A J; Shariat, S F.

In: BRIT J CANCER, Vol. 109, No. 6, 17.09.2013, p. 1460-6.

Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

Harvard

Xylinas, E, Kent, M, Kluth, L, Pycha, A, Comploj, E, Svatek, RS, Lotan, Y, Trinh, Q-D, Karakiewicz, PI, Holmang, S, Scherr, DS, Zerbib, M, Vickers, AJ & Shariat, SF 2013, 'Accuracy of the EORTC risk tables and of the CUETO scoring model to predict outcomes in non-muscle-invasive urothelial carcinoma of the bladder', BRIT J CANCER, vol. 109, no. 6, pp. 1460-6. https://doi.org/10.1038/bjc.2013.372

APA

Xylinas, E., Kent, M., Kluth, L., Pycha, A., Comploj, E., Svatek, R. S., Lotan, Y., Trinh, Q-D., Karakiewicz, P. I., Holmang, S., Scherr, D. S., Zerbib, M., Vickers, A. J., & Shariat, S. F. (2013). Accuracy of the EORTC risk tables and of the CUETO scoring model to predict outcomes in non-muscle-invasive urothelial carcinoma of the bladder. BRIT J CANCER, 109(6), 1460-6. https://doi.org/10.1038/bjc.2013.372

Vancouver

Bibtex

@article{9a7462ba6ae744e88c1a931ef19f3019,
title = "Accuracy of the EORTC risk tables and of the CUETO scoring model to predict outcomes in non-muscle-invasive urothelial carcinoma of the bladder",
abstract = "BACKGROUND: The European Organization for Research and Treatment of Cancer (EORTC) risk tables and the Spanish Urological Club for Oncological Treatment (CUETO) scoring model are the two best-established predictive tools to help decision making for patients with non-muscle-invasive bladder cancer (NMIBC). The aim of the current study was to assess the performance of these predictive tools in a large multicentre cohort of NMIBC patients.METHODS: We performed a retrospective analysis of 4689 patients with NMIBC. To evaluate the discrimination of the models, we created Cox proportional hazard regression models for time to disease recurrence and progression. We incorporated the patients calculated risk score as a predictor into both of these models and then calculated their discrimination (concordance indexes). We compared the concordance index of our models with the concordance index reported for the models.RESULTS: With a median follow-up of 57 months, 2110 patients experienced disease recurrence and 591 patients experienced disease progression. Both tools exhibited a poor discrimination for disease recurrence and progression (0.597 and 0.662, and 0.523 and 0.616, respectively, for the EORTC and CUETO models). The EORTC tables overestimated the risk of disease recurrence and progression in high-risk patients. The discrimination of the EORTC tables was even lower in the subgroup of patients treated with BCG (0.554 and 0.576 for disease recurrence and progression, respectively). Conversely, the discrimination of the CUETO model increased in BCG-treated patients (0.597 and 0.645 for disease recurrence and progression, respectively). However, both models overestimated the risk of disease progression in high-risk patients.CONCLUSION: The EORTC risk tables and the CUETO scoring system exhibit a poor discrimination for both disease recurrence and progression in NMIBC patients. These models overestimated the risk of disease recurrence and progression in high-risk patients. These overestimations remained in BCG-treated patients, especially for the EORTC tables. These results underline the need for improving our current predictive tools. However, our study is limited by its retrospective and multi-institutional design.",
keywords = "Aged, Cohort Studies, Disease Progression, Female, Humans, Male, Middle Aged, Neoplasm Invasiveness, Neoplasm Recurrence, Local, Randomized Controlled Trials as Topic, Retrospective Studies, Risk Assessment, Risk Factors, Treatment Outcome, Urinary Bladder Neoplasms, Urothelium",
author = "E Xylinas and M Kent and L Kluth and A Pycha and E Comploj and Svatek, {R S} and Y Lotan and Q-D Trinh and Karakiewicz, {P I} and S Holmang and Scherr, {D S} and M Zerbib and Vickers, {A J} and Shariat, {S F}",
year = "2013",
month = sep,
day = "17",
doi = "10.1038/bjc.2013.372",
language = "English",
volume = "109",
pages = "1460--6",
journal = "BRIT J CANCER",
issn = "0007-0920",
publisher = "NATURE PUBLISHING GROUP",
number = "6",

}

RIS

TY - JOUR

T1 - Accuracy of the EORTC risk tables and of the CUETO scoring model to predict outcomes in non-muscle-invasive urothelial carcinoma of the bladder

AU - Xylinas, E

AU - Kent, M

AU - Kluth, L

AU - Pycha, A

AU - Comploj, E

AU - Svatek, R S

AU - Lotan, Y

AU - Trinh, Q-D

AU - Karakiewicz, P I

AU - Holmang, S

AU - Scherr, D S

AU - Zerbib, M

AU - Vickers, A J

AU - Shariat, S F

PY - 2013/9/17

Y1 - 2013/9/17

N2 - BACKGROUND: The European Organization for Research and Treatment of Cancer (EORTC) risk tables and the Spanish Urological Club for Oncological Treatment (CUETO) scoring model are the two best-established predictive tools to help decision making for patients with non-muscle-invasive bladder cancer (NMIBC). The aim of the current study was to assess the performance of these predictive tools in a large multicentre cohort of NMIBC patients.METHODS: We performed a retrospective analysis of 4689 patients with NMIBC. To evaluate the discrimination of the models, we created Cox proportional hazard regression models for time to disease recurrence and progression. We incorporated the patients calculated risk score as a predictor into both of these models and then calculated their discrimination (concordance indexes). We compared the concordance index of our models with the concordance index reported for the models.RESULTS: With a median follow-up of 57 months, 2110 patients experienced disease recurrence and 591 patients experienced disease progression. Both tools exhibited a poor discrimination for disease recurrence and progression (0.597 and 0.662, and 0.523 and 0.616, respectively, for the EORTC and CUETO models). The EORTC tables overestimated the risk of disease recurrence and progression in high-risk patients. The discrimination of the EORTC tables was even lower in the subgroup of patients treated with BCG (0.554 and 0.576 for disease recurrence and progression, respectively). Conversely, the discrimination of the CUETO model increased in BCG-treated patients (0.597 and 0.645 for disease recurrence and progression, respectively). However, both models overestimated the risk of disease progression in high-risk patients.CONCLUSION: The EORTC risk tables and the CUETO scoring system exhibit a poor discrimination for both disease recurrence and progression in NMIBC patients. These models overestimated the risk of disease recurrence and progression in high-risk patients. These overestimations remained in BCG-treated patients, especially for the EORTC tables. These results underline the need for improving our current predictive tools. However, our study is limited by its retrospective and multi-institutional design.

AB - BACKGROUND: The European Organization for Research and Treatment of Cancer (EORTC) risk tables and the Spanish Urological Club for Oncological Treatment (CUETO) scoring model are the two best-established predictive tools to help decision making for patients with non-muscle-invasive bladder cancer (NMIBC). The aim of the current study was to assess the performance of these predictive tools in a large multicentre cohort of NMIBC patients.METHODS: We performed a retrospective analysis of 4689 patients with NMIBC. To evaluate the discrimination of the models, we created Cox proportional hazard regression models for time to disease recurrence and progression. We incorporated the patients calculated risk score as a predictor into both of these models and then calculated their discrimination (concordance indexes). We compared the concordance index of our models with the concordance index reported for the models.RESULTS: With a median follow-up of 57 months, 2110 patients experienced disease recurrence and 591 patients experienced disease progression. Both tools exhibited a poor discrimination for disease recurrence and progression (0.597 and 0.662, and 0.523 and 0.616, respectively, for the EORTC and CUETO models). The EORTC tables overestimated the risk of disease recurrence and progression in high-risk patients. The discrimination of the EORTC tables was even lower in the subgroup of patients treated with BCG (0.554 and 0.576 for disease recurrence and progression, respectively). Conversely, the discrimination of the CUETO model increased in BCG-treated patients (0.597 and 0.645 for disease recurrence and progression, respectively). However, both models overestimated the risk of disease progression in high-risk patients.CONCLUSION: The EORTC risk tables and the CUETO scoring system exhibit a poor discrimination for both disease recurrence and progression in NMIBC patients. These models overestimated the risk of disease recurrence and progression in high-risk patients. These overestimations remained in BCG-treated patients, especially for the EORTC tables. These results underline the need for improving our current predictive tools. However, our study is limited by its retrospective and multi-institutional design.

KW - Aged

KW - Cohort Studies

KW - Disease Progression

KW - Female

KW - Humans

KW - Male

KW - Middle Aged

KW - Neoplasm Invasiveness

KW - Neoplasm Recurrence, Local

KW - Randomized Controlled Trials as Topic

KW - Retrospective Studies

KW - Risk Assessment

KW - Risk Factors

KW - Treatment Outcome

KW - Urinary Bladder Neoplasms

KW - Urothelium

U2 - 10.1038/bjc.2013.372

DO - 10.1038/bjc.2013.372

M3 - SCORING: Journal article

C2 - 23982601

VL - 109

SP - 1460

EP - 1466

JO - BRIT J CANCER

JF - BRIT J CANCER

SN - 0007-0920

IS - 6

ER -