Literature DB >> 25442842

Assessing the impact of evolving evidence in renal cell carcinoma treatment: an update of the Renal Cell Carcinoma Appropriateness-based Treatment Toolkit (ReCATT).

M E Gore1, J Bellmunt2, T Eisen3, B Escudier4, G Mickisch5, J Patard6, C Porta7, A Ravaud8, M Schmidinger9, P Schöffski10, C N Sternberg11, C Szczylik12, S Lewis13, S Kirpekar13.   

Abstract

The appropriateness of the numerous therapeutic options available for patients with advanced or metastatic renal cell carcinoma (RCC) was evaluated in 2011, using the RAND/University of California, Los Angeles (UCLA) appropriateness methodology to match treatment suitability to a range of patient scenarios. However, the RCC therapeutic area evolves rapidly and a body of new clinical data has accrued in the intervening years; as a result the exercise was repeated in 2013 using the same methodology, expert panel and patient scenarios. The aim of the updated assessment was to update the guidance to clinicians and use it to develop an interactive web-based application, the Renal Cell Carcinoma Appropriateness-based Treatment Toolkit (ReCATT). This round of assessment achieved greater concordance concerning the appropriateness of treatments/interventions for the clinical scenarios tested; this higher level of agreement is likely to reflect the body of scientific evidence accrued since the previous assessment exercise. Many of the areas of disagreement in 2011 related to the suitability of pazopanib or sunitinib treatment; in the 2013 assessment both agents were considered appropriate treatment options for many of the clinical scenarios assessed. Uncertain scenarios often are related to the optimal management of metastatic RCC with clear cell histology. The use of the RAND/UCLA RCC assessment findings to develop the ReCATT support tool will help to disseminate expert opinion concerning best treatment practice and guide the clinical management of RCC patients treated in the community setting.
Copyright © 2014. Published by Elsevier Ltd.

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Keywords:  Advanced; Interventions; Metastatic; Renal cell carcinoma; Treatments

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Year:  2014        PMID: 25442842     DOI: 10.1016/j.ejca.2014.09.007

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  1 in total

1.  Algorithms in the First-Line Treatment of Metastatic Clear Cell Renal Cell Carcinoma--Analysis Using Diagnostic Nodes.

Authors:  Christian Rothermundt; Alexandra Bailey; Linda Cerbone; Tim Eisen; Bernard Escudier; Silke Gillessen; Viktor Grünwald; James Larkin; David McDermott; Jan Oldenburg; Camillo Porta; Brian Rini; Manuela Schmidinger; Cora Sternberg; Paul M Putora
Journal:  Oncologist       Date:  2015-08-03
  1 in total

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