World Journal of Urology

, Volume 31, Issue 1, pp 109–116

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

  • Sarah J. Drouin
  • David R. Yates
  • Vincent Hupertan
  • Olivier Cussenot
  • Morgan Rouprêt
Topic paper

DOI: 10.1007/s00345-012-1008-9

Cite this article as:
Drouin, S.J., Yates, D.R., Hupertan, V. et al. World J Urol (2013) 31: 109. doi:10.1007/s00345-012-1008-9

Abstract

Objectives

To identify the predictive tools which have emerged recently in the field of urothelial carcinomas.

Materials and methods

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.

Keywords

Predictive tools Nomograms Bladder neoplasm Urothelial carcinoma Renal pelvis Ureter Survival Prognosis 

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Sarah J. Drouin
    • 1
  • David R. Yates
    • 1
  • Vincent Hupertan
    • 2
  • Olivier Cussenot
    • 3
  • Morgan Rouprêt
    • 1
  1. 1.Academic Department of Urology of la Pitié-Salpêtrière Hospital, 1 Assistance Publique-Hôpitaux de Paris, Faculté de Médecine Pierre et Marie CurieUniversity Paris VIParisFrance
  2. 2.Academic Department of Urology of Bichat Hospital1 Assistance Publique-Hôpitaux de ParisParisFrance
  3. 3.Academic Department of Urology of la Pitié-Salpêtrière Hospital, 1 Assistance Publique-Hôpitaux de Paris, Faculté de Médecine Pierre et Marie Curie, Institut Universitaire De Cancerologie GRC OncotypeUniversity Paris VIParisFrance