A simple prognostic model for overall survival in metastatic renal cell carcinoma

Authors

  • Hazem I. Assi
  • Francois Patenaude
  • Ethan Toumishey
  • Laura Ross
  • Mahmoud Abdelsalam
  • Tony Reiman

DOI:

https://doi.org/10.5489/cuaj.3351

Abstract

Introduction: The primary purpose of this study was to develop a simpler prognostic model to predict overall survival for patients treated for metastatic renal cell carcinoma (mRCC) by examining variables shown in the literature to be associated with survival.

Methods: We conducted a retrospective analysis of patients treated for mRCC at two Canadian centres. All patients who started first-line treatment were included in the analysis. A multivariate Cox proportional hazards regression model was constructed using a stepwise procedure. Patients were assigned to risk groups depending on how many of the three risk factors from the final multivariate model they had.

Results: There were three risk factors in the final multivariate model: hemoglobin, prior nephrectomy, and time from diagnosis to treatment. Patients in the high-risk group (two or three risk factors) had a median survival of 5.9 months, while those in the intermediate-risk group (one risk factor) had a median survival of 16.2 months, and those in the low-risk group (no risk factors) had a median survival of 50.6 months.

Conclusions: In multivariate analysis, shorter survival times were associated with hemoglobin below the lower limit of normal, absence of prior nephrectomy, and initiation of treatment within one year of diagnosis.

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Published

2016-04-18

How to Cite

Assi, H. I., Patenaude, F., Toumishey, E., Ross, L., Abdelsalam, M., & Reiman, T. (2016). A simple prognostic model for overall survival in metastatic renal cell carcinoma. Canadian Urological Association Journal, 10(3-4), 113–9. https://doi.org/10.5489/cuaj.3351

Issue

Section

Original Research