A systematic review of the tools available for predicting survival and managing patients with urothelial carcinomas of the bladder and of the upper tract in a curative setting.
World J Urol
; 31(1): 109-16, 2013 Feb.
Article
en En
| MEDLINE
| ID: mdl-23247822
ABSTRACT
OBJECTIVES:
To identify the predictive tools which have emerged recently in the field of urothelial carcinomas. MATERIALS ANDMETHODS:
We performed a thorough MEDLINE literature review using a combination of the following keywords urothelial carcinoma, transitional cell carcinoma, bladder, renal pelvis, ureter, predictive tools, predictive models and nomograms. We found 117 articles, but only the relevant reports were selected.RESULTS:
The majority of available tools are prediction models, particularly nomograms. These models combine good performance accuracy with ease of use. They appear to be more accurate than risk grouping or tree modeling and are more suitable for clinicians than artificial intelligence. The most recent nomograms have been designed to be used in daily clinical practice and are even available as computer or smartphone applications. They focus on pathological outcomes or more frequently on survival statistics or recurrence risk after surgery. They provide an accurate prediction of disease evolution and may help clinicians to choose the most appropriate treatment option. However, these prediction tools still need to be validated and regularly utilized.CONCLUSION:
Predictive tools represent very helpful clinical decision-making aids but need to be validated in larger populations.
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Carcinoma de Células Transicionales
/
Técnicas de Apoyo para la Decisión
/
Neoplasias Urológicas
/
Nomogramas
Tipo de estudio:
Prognostic_studies
/
Risk_factors_studies
/
Systematic_reviews
Límite:
Humans
Idioma:
En
Revista:
World J Urol
Año:
2013
Tipo del documento:
Article
País de afiliación:
Francia