Naveen S. Vasudev
UK Multicenter Prospective Evaluation of the Leibovich Score in Localized Renal Cell Carcinoma: Performance has Altered Over Time
Vasudev, Naveen S.; Hutchinson, Michelle; Trainor, Sebastian; Ferguson, Roisean; Bhattarai, Selina; Adeyoju, Adebanji; Cartledge, Jon; Kimuli, Michael; Datta, Shibendra; Hanbury, Damian; Hrouda, David; Oades, Grenville; Patel, Poulam; Soomro, Naeem; Stewart, Grant D.; Sullivan, Mark; Webster, Jeff; Messenger, Michael; Selby, Peter J.; Banks, Rosamonde E.
Authors
Michelle Hutchinson
Sebastian Trainor
Roisean Ferguson
Selina Bhattarai
Adebanji Adeyoju
Jon Cartledge
Michael Kimuli
Shibendra Datta
Damian Hanbury
David Hrouda
Grenville Oades
POULAM PATEL POULAM.PATEL@NOTTINGHAM.AC.UK
Professor of Clinical Oncology
Naeem Soomro
Grant D. Stewart
Mark Sullivan
Jeff Webster
Michael Messenger
Peter J. Selby
Rosamonde E. Banks
Abstract
© 2019 The Authors Objective: To examine changes in outcome by the Leibovich score using contemporary and historic cohorts of patients presenting with renal cell carcinoma (RCC) Patients and Methods: Prospective observational multicenter cohort study, recruiting patients with suspected newly diagnosed RCC. A historical cohort of patients was examined for comparison. Metastasis-free survival (MFS) formed the primary outcome measure. Model discrimination and calibration were evaluated using Cox proportional hazard regression and the Kaplan-Meier method. Overall performance of the Leibovich model was assessed by estimating explained variation. Results: Seven hundred and six patients were recruited between 2011 and 2014 and RCC confirmed in 608 (86%) patients. Application of the Leibovich score to patients with localized clear cell RCC in this contemporary cohort demonstrated good model discrimination (c-index = 0.77) but suboptimal calibration, with improved MFS for intermediate- and high-risk patients (5-year MFS 85% and 50%, respectively) compared to the original Leibovich cohort (74% and 31%) and a historic (1998-2006) UK cohort (76% and 37%). The proportion of variation in outcome explained by the model is low and has declined over time (28% historic vs 22% contemporary UK cohort). Conclusion: Prognostic models are widely employed in patients with localized RCC to guide surveillance intensity and clinical trial selection. However, the majority of the variation in outcome remains unexplained by the Leibovich model and, over time, MFS rates among intermediate- and high-risk classified patients have altered. These findings are likely to have implications for all such models used in this setting.
Citation
Vasudev, N. S., Hutchinson, M., Trainor, S., Ferguson, R., Bhattarai, S., Adeyoju, A., Cartledge, J., Kimuli, M., Datta, S., Hanbury, D., Hrouda, D., Oades, G., Patel, P., Soomro, N., Stewart, G. D., Sullivan, M., Webster, J., Messenger, M., Selby, P. J., & Banks, R. E. (2019). UK Multicenter Prospective Evaluation of the Leibovich Score in Localized Renal Cell Carcinoma: Performance has Altered Over Time. Urology, https://doi.org/10.1016/j.urology.2019.09.044
Journal Article Type | Article |
---|---|
Acceptance Date | Sep 13, 2019 |
Online Publication Date | Nov 6, 2019 |
Publication Date | 2019-11 |
Deposit Date | Dec 12, 2019 |
Publicly Available Date | Dec 12, 2019 |
Journal | Urology |
Print ISSN | 0090-4295 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
DOI | https://doi.org/10.1016/j.urology.2019.09.044 |
Keywords | Urology |
Public URL | https://nottingham-repository.worktribe.com/output/3540930 |
Publisher URL | https://www.sciencedirect.com/science/article/pii/S0090429519309483 |
Files
Vasudev et al_Leibovich score_Urology 2019
(130 Kb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
You might also like
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search