Prediction of Competing Mortality for Decision-making Between Surgery or Observation in Elderly Patients With T1 Kidney Cancer

A Larcher, V Trudeau, P Dell'Oglio, Z Tian, K Boehm, Nicola Fossati, U Capitanio, A Briganti, F Montorsi, P Karakiewicz

Research output: Contribution to journalArticlepeer-review

Abstract

OBJECTIVE: To predict the risk of cancer-specific mortality (CSM) or other-cause mortality (OCM) for T1 kidney cancer patients, aiming at identifying those who would benefit from surgery over observation. PATIENTS AND METHODS: Overall, 11,192 T1 kidney cancer patients treated with surgery or observation in the Surveillance, Epidemiology, and End Results-Medicare database were assessed. A competing risk regression (CRR) model was fitted to predict CSM and OCM after surgery or observation. Covariates consisted of age, gender, race, Charlson comorbidity index (CCI), history of acute kidney injury or chronic kidney disease, tumor size, and year of diagnosis. RESULTS: At a median follow-up of 64 months, the 5-year rates of CSM and OCM were 6.7% and 24%, respectively. At CRR predicting CSM, surgery (hazard ratio [HR] 0.46; P 
Original languageEnglish
Pages (from-to)130-137
Number of pages8
JournalUrology
Volume102
Issue number2
DOIs
Publication statusPublished - 2017

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