Risk based surveillance after surgical treatment of renal cell carcinoma Journal Article


Authors: Capogrosso, P.; Larcher, A.; Sjoberg, D. D.; Vertosick, E. A.; Cianflone, F.; Dell'Oglio, P.; Carenzi, C.; Salonia, A.; Vickers, A. J.; Montorsi, F.; Bertini, R.; Capitanio, U.
Article Title: Risk based surveillance after surgical treatment of renal cell carcinoma
Abstract: Purpose: We assessed the accuracy of the UISS (UCLA Integrated Staging System) to predict the postoperative recurrence of renal cell carcinoma. We also evaluated whether including patient age and tumor histology would improve clinical decision making. Materials and Methods: We analyzed the records of 1,630 patients treated with nephrectomy at a single academic center. The accuracy of the UISS model to predict early (12 months or less) and late (more than 60 months) recurrence after surgery was compared with a new model including patient age and disease histology. Results: The new model and the UISS model showed high accuracy to predict early recurrence after surgery (AUC 0.84, 95% CI 0.81–0.88 and 0.83, 95% CI 0.80–0.87, respectively). In patients diagnosed with low risk tumor types (eg papillary type 1 and chromophobe lesions) the average risk of early recurrence significantly decreased in each UISS risk category when tumor histology was added to the predictive model (low risk 1.6% vs 0.6%, intermediate risk 5.5% vs 1.9% and high risk 45% vs 22%). Kaplan-Meier analysis showed no difference in the risk of late recurrence among the UISS risk categories. Conclusions: The UISS model should be applied to tailor the early followup protocol after nephrectomy. Patients with low risk histology deserve less stringent followup regardless of the UISS risk category. Our results do not support a risk stratification model to design a surveillance protocol after 5 years postoperatively. © 2018 American Urological Association Education and Research, Inc.
Keywords: adult; aged; major clinical study; cancer recurrence; postoperative period; accuracy; cohort analysis; risk factors; histology; renal cell carcinoma; kidney neoplasms; nephrectomy; high risk patient; age; partial nephrectomy; radical nephrectomy; watchful waiting; surgical risk; clinical decision making; kaplan meier method; patient care planning; predictive value; intermediate risk patient; low risk patient; human; priority journal; article
Journal Title: Journal of Urology
Volume: 200
Issue: 1
ISSN: 0022-5347
Publisher: Elsevier Science, Inc.  
Date Published: 2018-07-01
Start Page: 61
End Page: 67
Language: English
DOI: 10.1016/j.juro.2018.01.072
PROVIDER: scopus
PUBMED: 29371091
PMCID: PMC6699773
DOI/URL:
Notes: Article -- Export Date: 2 July 2018 -- Source: Scopus
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  1. Andrew J Vickers
    891 Vickers
  2. Daniel D. Sjoberg
    234 Sjoberg
  3. Emily Vertosick
    136 Vertosick