Volume 73 Supplement 1

Methods in Epidemiology Symposium

Open Access

Risk of bladder cancer in patients with diabetes: a retrospective cohort study

  • Maria (Mieke) Goossens1,
  • Maurice Zeegers2,
  • Marloes Bazelier3,
  • Marie De Bruin3,
  • Frank Buntinx1 and
  • Frank De Vries3
Archives of Public HealthThe official journal of the Belgian Public Health Association201573(Suppl 1):P4

https://doi.org/10.1186/2049-3258-73-S1-P4

Published: 17 September 2015

Objective

The objective of this study was to examine the association between diabetes and both urinary bladder cancer (UBC) risk and mortality.

Methods

We conducted a retrospective cohort study using data from the UK Clinical Practice Research Datalink (CPRD) linked to the Office of National Statistics (ONS). Patients diagnosed with diabetes mellitus type 1 or 2 or using anti-diabetic drugs (ADD) were compared to matched non-diabetic controls. Cox proportional hazards models were used to estimate the risk and mortality of UBC. We adjusted for age, sex, smoking status and BMI.

Results

The cohort included 329,168 patients using ADD and 307,315 controls with 1,295 and 1,071 patients, respectively, diagnosed as having UBC during follow-up. The adjusted hazard ratios (HR) of UBC were 0.77 (95% CI 0.57-1.05) and 1.04 (95% CI 0.96-1.14) for type 1 and 2 diabetes, respectively. These results were similar if we restricted our analysis to an inception cohort. We noticed a small increased risk during the first year after diagnosis (HR = 1.26 (95% CI 1.05-1.52)), which could be explained by detection bias. There was no influence of the severity of diabetes as measured by the HbA1c. Mortality of UBC was not increased for patients with either type 1 (HR = 0.95 (95% CI 0.39-2.34)) or type 2 diabetes (HR = 1.16 (95% CI 0.91-1.46)).

Conclusion

Neither the risk of UBC, nor the mortality from UBC, was increased in type 1 and patients with type 2 diabetes in the CPRD data.

Authors’ Affiliations

(1)
KU Leuven
(2)
University Maastricht
(3)
Utrecht University

Copyright

© Goossens et al. 2015

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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