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Diabetes and kidney cancer outcomes: a propensity score analysis

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Abstract

There is conflicting evidence whether diabetes is associated with survival outcomes in patients undergoing a nephrectomy for renal cell carcinoma. We performed a retrospective review of 1034 patients undergoing nephrectomy for unilateral, M0, renal cell carcinoma between 2000 and 2016 at a tertiary academic center. Inverse probability of treatment weights were derived from a propensity score model based on various clinical, surgical, and pathological characteristics. We used Cox proportional hazard models to evaluate the association between diabetes and disease-free survival, cancer-specific survival, and overall survival in the sample weighted by the inverse probability of treatment weights. Furthermore, to evaluate whether severity of diabetes was associated with survival outcomes, we performed separate analyses where inverse probability of treatment weights were computed based on the probability of having diabetes that was controlled by medication. Of the 1034 patients, 180 (17 %) had diabetes. Of these, 139 (77 %) patients required medications for diabetes control while the remaining 41 (23 %) had diet controlled diabetes. Median follow-up was 50 months (IQR 17–86). Diabetes at the time of surgery was not significantly associated with disease-free survival (HR 1.11, 95 % CI 0.64 –1.91), cancer-specific survival (HR 0.96, 95 % CI 0.49–1.91), or overall survival (HR 1.28, 95 % CI 0.84–1.95). We found similar results when we compared diabetics controlled with medication vs. non-diabetics or diet controlled diabetics. In summary, we found no significant association between diabetes and survival outcomes in patients undergoing nephrectomy for M0 renal cell carcinoma. These results suggest that diabetics should be treated and followed in a similar manner to non-diabetics.

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Authors and Affiliations

  1. Division of Urology, Departments of Surgery and Surgical Oncology, Princess Margaret Cancer Centre, University Health Network and the University of Toronto, Toronto, ON, Canada

    Madhur Nayan, Antonio Finelli, Michael A. S. Jewett, Girish S. Kulkarni & Robert J. Hamilton

  2. Department of Internal Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada

    David N. Juurlink

  3. Institute for Clinical Evaluative Sciences, Toronto, ON, Canada

    Peter C. Austin

  4. Institute of Health Management, Policy and Evaluation, University of Toronto, Toronto, ON, Canada

    Peter C. Austin

  5. Schulich Heart Research Program, Sunnybrook Research Institute, Toronto, ON, Canada

    Peter C. Austin

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  1. Madhur Nayan
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  2. Antonio Finelli
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Nayan, M., Finelli, A., Jewett, M.A.S. et al. Diabetes and kidney cancer outcomes: a propensity score analysis. Endocrine 55, 470–477 (2017). https://doi.org/10.1007/s12020-016-1149-5

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