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Renal Cell Carcinoma – How Can We Predict its Outcomes in Clinical Practice?

Open Access
|Sep 2013

Abstract

Morbidity and mortality data of RCC (renal cell carcinoma) differs a lot among the European countries. In Latvia a growing trend in both incidence and mortality rates is still observed. The expanding availability of multiple treatment strategies has increased the importance of skilled individualized outcome prediction for patients. Several prognostic factors are available in RCC including anatomical, histological, clinical and molecular ones, but none of them is very precise, when used alone. Therefore increasing number of prognostic systems has been created in local and metastatic disease to increase predictive accuracy. In order to encourage the clinicians to use the available models in their routine practice, we tried to select the most relevant ones and include them in a simple algorithm to be used in common clinical scenarios throughout entire history of the disease in patients with RCC

DOI: https://doi.org/10.2478/chilat-2013-0012 | Journal eISSN: 2199-5737 | Journal ISSN: 1407-981X
Language: English
Page range: 63 - 70
Published on: Sep 5, 2013
Published by: Riga Stradins University
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year

© 2013 Ieva Vaivode, Vilnis Lietuvietis, Alinta Hegmane, Iveta Kudaba, published by Riga Stradins University
This work is licensed under the Creative Commons License.