Multi-institutional validation of a new renal cancer-specific survival nomogram.

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Multi-institutional validation of a new renal cancer-specific survival nomogram. / Karakiewicz, Pierre I; Briganti, Alberto; Chun, Felix; Trinh, Quoc-Dien; Perrotte, Paul; Ficarra, Vincenzo; Cindolo, Luca; Alexandre, De La Taille; Tostain, Jacques; Mulders, Peter F A; Salomon, Laurent; Zigeuner, Richard; Prayer-Galetti, Tommaso; Chautard, Denis; Valeri, Antoine; Lechevallier, Eric; Descotes, Jean-Luc; Lang, Herve; Mejean, Arnaud; Patard, Jean-Jacques.

in: J CLIN ONCOL, Jahrgang 25, Nr. 11, 11, 2007, S. 1316-1322.

Publikationen: SCORING: Beitrag in Fachzeitschrift/ZeitungSCORING: ZeitschriftenaufsatzForschungBegutachtung

Harvard

Karakiewicz, PI, Briganti, A, Chun, F, Trinh, Q-D, Perrotte, P, Ficarra, V, Cindolo, L, Alexandre, DLT, Tostain, J, Mulders, PFA, Salomon, L, Zigeuner, R, Prayer-Galetti, T, Chautard, D, Valeri, A, Lechevallier, E, Descotes, J-L, Lang, H, Mejean, A & Patard, J-J 2007, 'Multi-institutional validation of a new renal cancer-specific survival nomogram.', J CLIN ONCOL, Jg. 25, Nr. 11, 11, S. 1316-1322. <http://www.ncbi.nlm.nih.gov/pubmed/17416852?dopt=Citation>

APA

Karakiewicz, P. I., Briganti, A., Chun, F., Trinh, Q-D., Perrotte, P., Ficarra, V., Cindolo, L., Alexandre, D. L. T., Tostain, J., Mulders, P. F. A., Salomon, L., Zigeuner, R., Prayer-Galetti, T., Chautard, D., Valeri, A., Lechevallier, E., Descotes, J-L., Lang, H., Mejean, A., & Patard, J-J. (2007). Multi-institutional validation of a new renal cancer-specific survival nomogram. J CLIN ONCOL, 25(11), 1316-1322. [11]. http://www.ncbi.nlm.nih.gov/pubmed/17416852?dopt=Citation

Vancouver

Karakiewicz PI, Briganti A, Chun F, Trinh Q-D, Perrotte P, Ficarra V et al. Multi-institutional validation of a new renal cancer-specific survival nomogram. J CLIN ONCOL. 2007;25(11):1316-1322. 11.

Bibtex

@article{5cca2422899343af96746396f5af3ba0,
title = "Multi-institutional validation of a new renal cancer-specific survival nomogram.",
abstract = "PURPOSE: We tested the hypothesis that the prediction of renal cancer-specific survival can be improved if traditional predictor variables are used within a prognostic nomogram. PATIENTS AND METHODS: Two cohorts of patients treated with either radical or partial nephrectomy for renal cortical tumors were used: one (n = 2,530) for nomogram development and for internal validation (200 bootstrap resamples), and a second (n = 1,422) for external validation. Cox proportional hazards regression analyses modeled the 2002 TNM stages, tumor size, Fuhrman grade, histologic subtype, local symptoms, age, and sex. The accuracy of the nomogram was compared with an established staging scheme. RESULTS: Cancer-specific mortality was observed in 598 (23.6%) patients, whereas 200 (7.9%) died as a result of other causes. Follow-up ranged from 0.1 to 286 months (median, 38.8 months). External validation of the nomogram at 1, 2, 5, and 10 years after nephrectomy revealed predictive accuracy of 87.8%, 89.2%, 86.7%, and 88.8%, respectively. Conversely, the alternative staging scheme predicting at 2 and 5 years was less accurate, as evidenced by 86.1% (P = .006) and 83.9% (P = .02) estimates. CONCLUSION: The new nomogram is more contemporary, provides predictions that reach further in time and, compared with its alternative, which predicts at 2 and 5 years, generates 3.1% and 2.8% more accurate predictions, respectively.",
author = "Karakiewicz, {Pierre I} and Alberto Briganti and Felix Chun and Quoc-Dien Trinh and Paul Perrotte and Vincenzo Ficarra and Luca Cindolo and Alexandre, {De La Taille} and Jacques Tostain and Mulders, {Peter F A} and Laurent Salomon and Richard Zigeuner and Tommaso Prayer-Galetti and Denis Chautard and Antoine Valeri and Eric Lechevallier and Jean-Luc Descotes and Herve Lang and Arnaud Mejean and Jean-Jacques Patard",
year = "2007",
language = "Deutsch",
volume = "25",
pages = "1316--1322",
journal = "J CLIN ONCOL",
issn = "0732-183X",
publisher = "American Society of Clinical Oncology",
number = "11",

}

RIS

TY - JOUR

T1 - Multi-institutional validation of a new renal cancer-specific survival nomogram.

AU - Karakiewicz, Pierre I

AU - Briganti, Alberto

AU - Chun, Felix

AU - Trinh, Quoc-Dien

AU - Perrotte, Paul

AU - Ficarra, Vincenzo

AU - Cindolo, Luca

AU - Alexandre, De La Taille

AU - Tostain, Jacques

AU - Mulders, Peter F A

AU - Salomon, Laurent

AU - Zigeuner, Richard

AU - Prayer-Galetti, Tommaso

AU - Chautard, Denis

AU - Valeri, Antoine

AU - Lechevallier, Eric

AU - Descotes, Jean-Luc

AU - Lang, Herve

AU - Mejean, Arnaud

AU - Patard, Jean-Jacques

PY - 2007

Y1 - 2007

N2 - PURPOSE: We tested the hypothesis that the prediction of renal cancer-specific survival can be improved if traditional predictor variables are used within a prognostic nomogram. PATIENTS AND METHODS: Two cohorts of patients treated with either radical or partial nephrectomy for renal cortical tumors were used: one (n = 2,530) for nomogram development and for internal validation (200 bootstrap resamples), and a second (n = 1,422) for external validation. Cox proportional hazards regression analyses modeled the 2002 TNM stages, tumor size, Fuhrman grade, histologic subtype, local symptoms, age, and sex. The accuracy of the nomogram was compared with an established staging scheme. RESULTS: Cancer-specific mortality was observed in 598 (23.6%) patients, whereas 200 (7.9%) died as a result of other causes. Follow-up ranged from 0.1 to 286 months (median, 38.8 months). External validation of the nomogram at 1, 2, 5, and 10 years after nephrectomy revealed predictive accuracy of 87.8%, 89.2%, 86.7%, and 88.8%, respectively. Conversely, the alternative staging scheme predicting at 2 and 5 years was less accurate, as evidenced by 86.1% (P = .006) and 83.9% (P = .02) estimates. CONCLUSION: The new nomogram is more contemporary, provides predictions that reach further in time and, compared with its alternative, which predicts at 2 and 5 years, generates 3.1% and 2.8% more accurate predictions, respectively.

AB - PURPOSE: We tested the hypothesis that the prediction of renal cancer-specific survival can be improved if traditional predictor variables are used within a prognostic nomogram. PATIENTS AND METHODS: Two cohorts of patients treated with either radical or partial nephrectomy for renal cortical tumors were used: one (n = 2,530) for nomogram development and for internal validation (200 bootstrap resamples), and a second (n = 1,422) for external validation. Cox proportional hazards regression analyses modeled the 2002 TNM stages, tumor size, Fuhrman grade, histologic subtype, local symptoms, age, and sex. The accuracy of the nomogram was compared with an established staging scheme. RESULTS: Cancer-specific mortality was observed in 598 (23.6%) patients, whereas 200 (7.9%) died as a result of other causes. Follow-up ranged from 0.1 to 286 months (median, 38.8 months). External validation of the nomogram at 1, 2, 5, and 10 years after nephrectomy revealed predictive accuracy of 87.8%, 89.2%, 86.7%, and 88.8%, respectively. Conversely, the alternative staging scheme predicting at 2 and 5 years was less accurate, as evidenced by 86.1% (P = .006) and 83.9% (P = .02) estimates. CONCLUSION: The new nomogram is more contemporary, provides predictions that reach further in time and, compared with its alternative, which predicts at 2 and 5 years, generates 3.1% and 2.8% more accurate predictions, respectively.

M3 - SCORING: Zeitschriftenaufsatz

VL - 25

SP - 1316

EP - 1322

JO - J CLIN ONCOL

JF - J CLIN ONCOL

SN - 0732-183X

IS - 11

M1 - 11

ER -