The Experts below are selected from a list of 24492 Experts worldwide ranked by ideXlab platform
David R Yates - One of the best experts on this subject based on the ideXlab platform.
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prediction of Cancer Specific Survival after radical nephroureterectomy for upper tract urothelial carcinoma development of an optimized postoperative nomogram using decision curve analysis
The Journal of Urology, 2013Co-Authors: David R Yates, Vincent Hupertan, Pierre Colin, M Roupret, Thomas Seisen, Evanguelos Xylinas, Harun Fajkovic, Yair LotanAbstract:PURPOSE: We conceived and proposed a unique and optimized nomogram to predict Cancer Specific Survival after radical nephroureterectomy in patients with upper tract urothelial carcinoma by merging the 2 largest multicenter data sets reported in this population. MATERIALS AND METHODS: The international and the French national collaborative groups on upper tract urothelial carcinoma pooled data on 3,387 patients treated with radical nephroureterectomy for whom full data for nomogram development were available. The merged study population was randomly split into the development cohort (2,371) and the external validation cohort (1,016). Cox regressions were used for univariable and multivariable analyses, and to build different models. The ultimate reduced nomogram was assessed using Harrell's concordance index (c-index) and decision curve analysis. RESULTS: Of the 2,371 patients in the nomogram development cohort 510 (21.5%) died of upper tract urothelial carcinoma during followup. The actuarial Cancer Specific Survival probability at 5 years was 73.7% (95% CI 71.9-75.6). Decision curve analysis revealed that the use of the best model was associated with benefit gains relative to the prediction of Cancer Specific Survival. The optimized nomogram included only 5 variables associated with Cancer Specific Survival on multivariable analysis, those of age (p = 0.001), T stage (p <0.001), N stage (p = 0.001), architecture (p = 0.02) and lymphovascular invasion (p = 0.001). The discriminative accuracy of the nomogram was 0.8 (95% CI 0.77-0.86). CONCLUSIONS: Using standard pathological features obtained from the largest data set of upper tract urothelial carcinomas worldwide, we devised and validated an accurate and ultimate nomogram, superior to any single clinical variable, for predicting Cancer Specific Survival after radical nephroureterectomy.
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Prediction of Cancer Specific Survival After Radical Nephroureterectomy for Upper Tract Urothelial Carcinoma: Development of an Optimized Postoperative Nomogram Using Decision Curve Analysis
The Journal of Urology, 2012Co-Authors: M Roupret, David R Yates, Vincent Hupertan, Pierre Colin, Thomas Seisen, Evanguelos Xylinas, Harun Fajkovic, Yair Lotan, Jay D. Raman, Richard ZigeunerAbstract:PURPOSE: We conceived and proposed a unique and optimized nomogram to predict Cancer Specific Survival after radical nephroureterectomy in patients with upper tract urothelial carcinoma by merging the 2 largest multicenter data sets reported in this population. MATERIALS AND METHODS: The international and the French national collaborative groups on upper tract urothelial carcinoma pooled data on 3,387 patients treated with radical nephroureterectomy for whom full data for nomogram development were available. The merged study population was randomly split into the development cohort (2,371) and the external validation cohort (1,016). Cox regressions were used for univariable and multivariable analyses, and to build different models. The ultimate reduced nomogram was assessed using Harrell's concordance index (c-index) and decision curve analysis. RESULTS: Of the 2,371 patients in the nomogram development cohort 510 (21.5%) died of upper tract urothelial carcinoma during followup. The actuarial Cancer Specific Survival probability at 5 years was 73.7% (95% CI 71.9-75.6). Decision curve analysis revealed that the use of the best model was associated with benefit gains relative to the prediction of Cancer Specific Survival. The optimized nomogram included only 5 variables associated with Cancer Specific Survival on multivariable analysis, those of age (p = 0.001), T stage (p
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Cancer Specific Survival after radical nephroureterectomy for upper urinary tract urothelial carcinoma proposal and multi institutional validation of a post operative nomogram
British Journal of Cancer, 2012Co-Authors: David R Yates, Vincent Hupertan, A Ouzzane, Aurelien Descazeaud, G Pignot, Sebastien Crouzet, Pierre Colin, J A Long, François Rozet, Yann NeuzilletAbstract:Cancer-Specific Survival after radical nephroureterectomy for upper urinary tract urothelial carcinoma: proposal and multi-institutional validation of a post-operative nomogram
M Roupret - One of the best experts on this subject based on the ideXlab platform.
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prediction of Cancer Specific Survival after radical nephroureterectomy for upper tract urothelial carcinoma development of an optimized postoperative nomogram using decision curve analysis
The Journal of Urology, 2013Co-Authors: David R Yates, Vincent Hupertan, Pierre Colin, M Roupret, Thomas Seisen, Evanguelos Xylinas, Harun Fajkovic, Yair LotanAbstract:PURPOSE: We conceived and proposed a unique and optimized nomogram to predict Cancer Specific Survival after radical nephroureterectomy in patients with upper tract urothelial carcinoma by merging the 2 largest multicenter data sets reported in this population. MATERIALS AND METHODS: The international and the French national collaborative groups on upper tract urothelial carcinoma pooled data on 3,387 patients treated with radical nephroureterectomy for whom full data for nomogram development were available. The merged study population was randomly split into the development cohort (2,371) and the external validation cohort (1,016). Cox regressions were used for univariable and multivariable analyses, and to build different models. The ultimate reduced nomogram was assessed using Harrell's concordance index (c-index) and decision curve analysis. RESULTS: Of the 2,371 patients in the nomogram development cohort 510 (21.5%) died of upper tract urothelial carcinoma during followup. The actuarial Cancer Specific Survival probability at 5 years was 73.7% (95% CI 71.9-75.6). Decision curve analysis revealed that the use of the best model was associated with benefit gains relative to the prediction of Cancer Specific Survival. The optimized nomogram included only 5 variables associated with Cancer Specific Survival on multivariable analysis, those of age (p = 0.001), T stage (p <0.001), N stage (p = 0.001), architecture (p = 0.02) and lymphovascular invasion (p = 0.001). The discriminative accuracy of the nomogram was 0.8 (95% CI 0.77-0.86). CONCLUSIONS: Using standard pathological features obtained from the largest data set of upper tract urothelial carcinomas worldwide, we devised and validated an accurate and ultimate nomogram, superior to any single clinical variable, for predicting Cancer Specific Survival after radical nephroureterectomy.
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Prediction of Cancer Specific Survival After Radical Nephroureterectomy for Upper Tract Urothelial Carcinoma: Development of an Optimized Postoperative Nomogram Using Decision Curve Analysis
The Journal of Urology, 2012Co-Authors: M Roupret, David R Yates, Vincent Hupertan, Pierre Colin, Thomas Seisen, Evanguelos Xylinas, Harun Fajkovic, Yair Lotan, Jay D. Raman, Richard ZigeunerAbstract:PURPOSE: We conceived and proposed a unique and optimized nomogram to predict Cancer Specific Survival after radical nephroureterectomy in patients with upper tract urothelial carcinoma by merging the 2 largest multicenter data sets reported in this population. MATERIALS AND METHODS: The international and the French national collaborative groups on upper tract urothelial carcinoma pooled data on 3,387 patients treated with radical nephroureterectomy for whom full data for nomogram development were available. The merged study population was randomly split into the development cohort (2,371) and the external validation cohort (1,016). Cox regressions were used for univariable and multivariable analyses, and to build different models. The ultimate reduced nomogram was assessed using Harrell's concordance index (c-index) and decision curve analysis. RESULTS: Of the 2,371 patients in the nomogram development cohort 510 (21.5%) died of upper tract urothelial carcinoma during followup. The actuarial Cancer Specific Survival probability at 5 years was 73.7% (95% CI 71.9-75.6). Decision curve analysis revealed that the use of the best model was associated with benefit gains relative to the prediction of Cancer Specific Survival. The optimized nomogram included only 5 variables associated with Cancer Specific Survival on multivariable analysis, those of age (p = 0.001), T stage (p
Pierre Colin - One of the best experts on this subject based on the ideXlab platform.
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prediction of Cancer Specific Survival after radical nephroureterectomy for upper tract urothelial carcinoma development of an optimized postoperative nomogram using decision curve analysis
The Journal of Urology, 2013Co-Authors: David R Yates, Vincent Hupertan, Pierre Colin, M Roupret, Thomas Seisen, Evanguelos Xylinas, Harun Fajkovic, Yair LotanAbstract:PURPOSE: We conceived and proposed a unique and optimized nomogram to predict Cancer Specific Survival after radical nephroureterectomy in patients with upper tract urothelial carcinoma by merging the 2 largest multicenter data sets reported in this population. MATERIALS AND METHODS: The international and the French national collaborative groups on upper tract urothelial carcinoma pooled data on 3,387 patients treated with radical nephroureterectomy for whom full data for nomogram development were available. The merged study population was randomly split into the development cohort (2,371) and the external validation cohort (1,016). Cox regressions were used for univariable and multivariable analyses, and to build different models. The ultimate reduced nomogram was assessed using Harrell's concordance index (c-index) and decision curve analysis. RESULTS: Of the 2,371 patients in the nomogram development cohort 510 (21.5%) died of upper tract urothelial carcinoma during followup. The actuarial Cancer Specific Survival probability at 5 years was 73.7% (95% CI 71.9-75.6). Decision curve analysis revealed that the use of the best model was associated with benefit gains relative to the prediction of Cancer Specific Survival. The optimized nomogram included only 5 variables associated with Cancer Specific Survival on multivariable analysis, those of age (p = 0.001), T stage (p <0.001), N stage (p = 0.001), architecture (p = 0.02) and lymphovascular invasion (p = 0.001). The discriminative accuracy of the nomogram was 0.8 (95% CI 0.77-0.86). CONCLUSIONS: Using standard pathological features obtained from the largest data set of upper tract urothelial carcinomas worldwide, we devised and validated an accurate and ultimate nomogram, superior to any single clinical variable, for predicting Cancer Specific Survival after radical nephroureterectomy.
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Prediction of Cancer Specific Survival After Radical Nephroureterectomy for Upper Tract Urothelial Carcinoma: Development of an Optimized Postoperative Nomogram Using Decision Curve Analysis
The Journal of Urology, 2012Co-Authors: M Roupret, David R Yates, Vincent Hupertan, Pierre Colin, Thomas Seisen, Evanguelos Xylinas, Harun Fajkovic, Yair Lotan, Jay D. Raman, Richard ZigeunerAbstract:PURPOSE: We conceived and proposed a unique and optimized nomogram to predict Cancer Specific Survival after radical nephroureterectomy in patients with upper tract urothelial carcinoma by merging the 2 largest multicenter data sets reported in this population. MATERIALS AND METHODS: The international and the French national collaborative groups on upper tract urothelial carcinoma pooled data on 3,387 patients treated with radical nephroureterectomy for whom full data for nomogram development were available. The merged study population was randomly split into the development cohort (2,371) and the external validation cohort (1,016). Cox regressions were used for univariable and multivariable analyses, and to build different models. The ultimate reduced nomogram was assessed using Harrell's concordance index (c-index) and decision curve analysis. RESULTS: Of the 2,371 patients in the nomogram development cohort 510 (21.5%) died of upper tract urothelial carcinoma during followup. The actuarial Cancer Specific Survival probability at 5 years was 73.7% (95% CI 71.9-75.6). Decision curve analysis revealed that the use of the best model was associated with benefit gains relative to the prediction of Cancer Specific Survival. The optimized nomogram included only 5 variables associated with Cancer Specific Survival on multivariable analysis, those of age (p = 0.001), T stage (p
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Cancer Specific Survival after radical nephroureterectomy for upper urinary tract urothelial carcinoma proposal and multi institutional validation of a post operative nomogram
British Journal of Cancer, 2012Co-Authors: David R Yates, Vincent Hupertan, A Ouzzane, Aurelien Descazeaud, G Pignot, Sebastien Crouzet, Pierre Colin, J A Long, François Rozet, Yann NeuzilletAbstract:Cancer-Specific Survival after radical nephroureterectomy for upper urinary tract urothelial carcinoma: proposal and multi-institutional validation of a post-operative nomogram
Vincent Hupertan - One of the best experts on this subject based on the ideXlab platform.
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prediction of Cancer Specific Survival after radical nephroureterectomy for upper tract urothelial carcinoma development of an optimized postoperative nomogram using decision curve analysis
The Journal of Urology, 2013Co-Authors: David R Yates, Vincent Hupertan, Pierre Colin, M Roupret, Thomas Seisen, Evanguelos Xylinas, Harun Fajkovic, Yair LotanAbstract:PURPOSE: We conceived and proposed a unique and optimized nomogram to predict Cancer Specific Survival after radical nephroureterectomy in patients with upper tract urothelial carcinoma by merging the 2 largest multicenter data sets reported in this population. MATERIALS AND METHODS: The international and the French national collaborative groups on upper tract urothelial carcinoma pooled data on 3,387 patients treated with radical nephroureterectomy for whom full data for nomogram development were available. The merged study population was randomly split into the development cohort (2,371) and the external validation cohort (1,016). Cox regressions were used for univariable and multivariable analyses, and to build different models. The ultimate reduced nomogram was assessed using Harrell's concordance index (c-index) and decision curve analysis. RESULTS: Of the 2,371 patients in the nomogram development cohort 510 (21.5%) died of upper tract urothelial carcinoma during followup. The actuarial Cancer Specific Survival probability at 5 years was 73.7% (95% CI 71.9-75.6). Decision curve analysis revealed that the use of the best model was associated with benefit gains relative to the prediction of Cancer Specific Survival. The optimized nomogram included only 5 variables associated with Cancer Specific Survival on multivariable analysis, those of age (p = 0.001), T stage (p <0.001), N stage (p = 0.001), architecture (p = 0.02) and lymphovascular invasion (p = 0.001). The discriminative accuracy of the nomogram was 0.8 (95% CI 0.77-0.86). CONCLUSIONS: Using standard pathological features obtained from the largest data set of upper tract urothelial carcinomas worldwide, we devised and validated an accurate and ultimate nomogram, superior to any single clinical variable, for predicting Cancer Specific Survival after radical nephroureterectomy.
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Prediction of Cancer Specific Survival After Radical Nephroureterectomy for Upper Tract Urothelial Carcinoma: Development of an Optimized Postoperative Nomogram Using Decision Curve Analysis
The Journal of Urology, 2012Co-Authors: M Roupret, David R Yates, Vincent Hupertan, Pierre Colin, Thomas Seisen, Evanguelos Xylinas, Harun Fajkovic, Yair Lotan, Jay D. Raman, Richard ZigeunerAbstract:PURPOSE: We conceived and proposed a unique and optimized nomogram to predict Cancer Specific Survival after radical nephroureterectomy in patients with upper tract urothelial carcinoma by merging the 2 largest multicenter data sets reported in this population. MATERIALS AND METHODS: The international and the French national collaborative groups on upper tract urothelial carcinoma pooled data on 3,387 patients treated with radical nephroureterectomy for whom full data for nomogram development were available. The merged study population was randomly split into the development cohort (2,371) and the external validation cohort (1,016). Cox regressions were used for univariable and multivariable analyses, and to build different models. The ultimate reduced nomogram was assessed using Harrell's concordance index (c-index) and decision curve analysis. RESULTS: Of the 2,371 patients in the nomogram development cohort 510 (21.5%) died of upper tract urothelial carcinoma during followup. The actuarial Cancer Specific Survival probability at 5 years was 73.7% (95% CI 71.9-75.6). Decision curve analysis revealed that the use of the best model was associated with benefit gains relative to the prediction of Cancer Specific Survival. The optimized nomogram included only 5 variables associated with Cancer Specific Survival on multivariable analysis, those of age (p = 0.001), T stage (p
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Cancer Specific Survival after radical nephroureterectomy for upper urinary tract urothelial carcinoma proposal and multi institutional validation of a post operative nomogram
British Journal of Cancer, 2012Co-Authors: David R Yates, Vincent Hupertan, A Ouzzane, Aurelien Descazeaud, G Pignot, Sebastien Crouzet, Pierre Colin, J A Long, François Rozet, Yann NeuzilletAbstract:Cancer-Specific Survival after radical nephroureterectomy for upper urinary tract urothelial carcinoma: proposal and multi-institutional validation of a post-operative nomogram
Yair Lotan - One of the best experts on this subject based on the ideXlab platform.
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prediction of Cancer Specific Survival after radical nephroureterectomy for upper tract urothelial carcinoma development of an optimized postoperative nomogram using decision curve analysis
The Journal of Urology, 2013Co-Authors: David R Yates, Vincent Hupertan, Pierre Colin, M Roupret, Thomas Seisen, Evanguelos Xylinas, Harun Fajkovic, Yair LotanAbstract:PURPOSE: We conceived and proposed a unique and optimized nomogram to predict Cancer Specific Survival after radical nephroureterectomy in patients with upper tract urothelial carcinoma by merging the 2 largest multicenter data sets reported in this population. MATERIALS AND METHODS: The international and the French national collaborative groups on upper tract urothelial carcinoma pooled data on 3,387 patients treated with radical nephroureterectomy for whom full data for nomogram development were available. The merged study population was randomly split into the development cohort (2,371) and the external validation cohort (1,016). Cox regressions were used for univariable and multivariable analyses, and to build different models. The ultimate reduced nomogram was assessed using Harrell's concordance index (c-index) and decision curve analysis. RESULTS: Of the 2,371 patients in the nomogram development cohort 510 (21.5%) died of upper tract urothelial carcinoma during followup. The actuarial Cancer Specific Survival probability at 5 years was 73.7% (95% CI 71.9-75.6). Decision curve analysis revealed that the use of the best model was associated with benefit gains relative to the prediction of Cancer Specific Survival. The optimized nomogram included only 5 variables associated with Cancer Specific Survival on multivariable analysis, those of age (p = 0.001), T stage (p <0.001), N stage (p = 0.001), architecture (p = 0.02) and lymphovascular invasion (p = 0.001). The discriminative accuracy of the nomogram was 0.8 (95% CI 0.77-0.86). CONCLUSIONS: Using standard pathological features obtained from the largest data set of upper tract urothelial carcinomas worldwide, we devised and validated an accurate and ultimate nomogram, superior to any single clinical variable, for predicting Cancer Specific Survival after radical nephroureterectomy.
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Prediction of Cancer Specific Survival After Radical Nephroureterectomy for Upper Tract Urothelial Carcinoma: Development of an Optimized Postoperative Nomogram Using Decision Curve Analysis
The Journal of Urology, 2012Co-Authors: M Roupret, David R Yates, Vincent Hupertan, Pierre Colin, Thomas Seisen, Evanguelos Xylinas, Harun Fajkovic, Yair Lotan, Jay D. Raman, Richard ZigeunerAbstract:PURPOSE: We conceived and proposed a unique and optimized nomogram to predict Cancer Specific Survival after radical nephroureterectomy in patients with upper tract urothelial carcinoma by merging the 2 largest multicenter data sets reported in this population. MATERIALS AND METHODS: The international and the French national collaborative groups on upper tract urothelial carcinoma pooled data on 3,387 patients treated with radical nephroureterectomy for whom full data for nomogram development were available. The merged study population was randomly split into the development cohort (2,371) and the external validation cohort (1,016). Cox regressions were used for univariable and multivariable analyses, and to build different models. The ultimate reduced nomogram was assessed using Harrell's concordance index (c-index) and decision curve analysis. RESULTS: Of the 2,371 patients in the nomogram development cohort 510 (21.5%) died of upper tract urothelial carcinoma during followup. The actuarial Cancer Specific Survival probability at 5 years was 73.7% (95% CI 71.9-75.6). Decision curve analysis revealed that the use of the best model was associated with benefit gains relative to the prediction of Cancer Specific Survival. The optimized nomogram included only 5 variables associated with Cancer Specific Survival on multivariable analysis, those of age (p = 0.001), T stage (p
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Adjuvant chemotherapy for bladder Cancer does not alter Cancer‐Specific Survival after cystectomy in a matched case‐control study
BJUI, 2008Co-Authors: Jochen Walz, Yair Lotan, Paul Perrotte, Nazareno Suardi, Shahrokh F. Shariat, Ganesh S. Palapattu, Amit Gupta, Patrick J. Bastian, Craig G. Rogers, Amnon VazinaAbstract:OBJECTIVE To assess the effect of adjuvant chemotherapy (ACHT; methotrexate, vinblastine, adriamycin and cisplatin, MVAC, or gemcitabine/cisplatin, GC) on the rate of Cancer-Specific Survival and overall Survival, as the benefit of ACHT after radical cystectomy (RC) for bladder Cancer is controversial. PATIENTS AND METHODS Within a study group of 958 patients treated with RC between 1984 and 2003, we identified 274 (29.0%) with a high risk of progression due to pT3 or pT4 and/or pN1-3 stages. Of these, 129 (46.6%) received ACHT (MVAC in 103, GC in 26). These patients were then matched with the remaining patients who were unexposed to ACHT. Exact matches were made for pT stage, tumour grade, pN stage and lymphovascular invasion. Age (±5 years) and year of surgery (±5 years) were calliper-matched. Matching resulted in 62 patients treated with RC/ACHT and 65 treated with RC alone. Kaplan-Meier, life-table and Cox regression analyses were used to assess Cancer-Specific and overall Survival. RESULTS There was no statistically significant difference in Cancer-Specific Survival probabilities at 5 years after RC between the two groups (relative risk 1.2; P = 0.5). There was also no difference in overall Survival at 5 years (1.1; P = 0.7). In multivariable analyses the delivery of adjuvant chemotherapy was not an independent predictor for Survival endpoints (P = 0.3 for Cancer-Specific and 0.3 for overall Survival). CONCLUSIONS This matched case-control analysis showed that either MVAC or GC chemotherapy had no effect on Cancer-Specific or overall Survival after RC in high-risk patients. Further randomized long-term studies are necessary to confirm these results.
