Prediction of cancer-specific survival after radical cystectomy in pT4a urothelial carcinoma of the bladder: development of a tool for clinical decision-making
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064203%3A_____%2F16%3A10323759" target="_blank" >RIV/00064203:_____/16:10323759 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11130/16:10323759
Result on the web
<a href="http://dx.doi.org/10.1111/bju.12984" target="_blank" >http://dx.doi.org/10.1111/bju.12984</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1111/bju.12984" target="_blank" >10.1111/bju.12984</a>
Alternative languages
Result language
angličtina
Original language name
Prediction of cancer-specific survival after radical cystectomy in pT4a urothelial carcinoma of the bladder: development of a tool for clinical decision-making
Original language description
Objective To externally validate the pT4a-specific risk model for cancer-specific survival (CSS) proposed by May et al. (Urol Oncol 2013; 31: 1141-1147) and to develop a new pT4a-specific nomogram predicting CSS in an international multicentre cohort of patients undergoing radical cystectomy (RC) for urothelial carcinoma of the bladder (UCB) Patients and Methods Data from 856 patients with pT4a UCB treated with RC at 21 centres in Europe and North-America were assessed. The risk model proposed by May et al., which includes female gender, presence of positive lymphovascular invasion (LVI) and lack of adjuvant chemotherapy administration as adverse predictors for CSS, was applied to our cohort. For the purpose of external validation, model discrimination was measured using the receiver-operating characteristic-derived area under the curve. A nomogram for predicting CSS in pT4a UCB after RC was developed after internal validation based on multivariable Cox proportional hazards regression analysis evaluating the impact of clinicopathological variables on CSS. Decision-curve analyses were applied to determine the net benefit derived from the two models. Results The estimated 5-year-CSS after RC was 34% in our cohort. The risk model devised by May et al. predicted individual 5-year-CSS with an accuracy of 60.1%. In multivariable Cox proportional hazards regression analysis, female gender (hazard ratio [HR] 1.45), LVI (HR 1.37), lymph node metastases (HR 2.54), positive soft tissue surgical margins (HR 1.39), neoadjuvant (HR 2.24) and lack of adjuvant chemotherapy (HR 1.67, all P < 0.05) were independent predictors of an adverse CSS rate and formed the features of our nomogram with a predictive accuracy of 67.1%. Decision-curve analyses showed higher net benefits for the use of the newly developed nomogram in our cohort over all thresholds. Conclusions
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
FD - Oncology and haematology
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
BJU International
ISSN
1464-4096
e-ISSN
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Volume of the periodical
117
Issue of the periodical within the volume
2
Country of publishing house
GB - UNITED KINGDOM
Number of pages
8
Pages from-to
272-279
UT code for WoS article
000367717300016
EID of the result in the Scopus database
2-s2.0-84954388334