About this Journal Submit a Manuscript Table of Contents
ISRN Oncology
Volume 2014 (2014), Article ID 607850, 10 pages
http://dx.doi.org/10.1155/2014/607850
Clinical Study

Undiagnosed Diabetes in Breast, Colorectal, Lung, and Prostate Cancer: Incidence and Risk Factors

1Nuffield Department of Primary Care Health Sciences, University of Oxford, 23-38 Hythe Bridge Street, 2nd Floor, Oxford OX1 2ET, UK
2Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
3Department of Epidemiology, Outcomes Insights, Inc., Westlake Village, CA 91362, USA
4Center for Observational Research, Amgen Inc., Thousand Oaks, CA 91320, USA

Received 5 November 2013; Accepted 20 January 2014; Published 4 March 2014

Academic Editors: Z. S. Guo and Z. Suo

Copyright © 2014 Robert I. Griffiths et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. E. Giovannucci, D. M. Harlan, M. C. Archer et al., “Diabetes and cancer: a consensus report,” Diabetes Care, vol. 33, no. 7, pp. 1674–1685, 2010. View at Publisher · View at Google Scholar · View at Scopus
  2. B. B. Barone, H.-C. Yeh, C. F. Snyder et al., “Long-term all-cause mortality in cancer patients with preexisting diabetes mellitus: a systematic review and meta-analysis,” Journal of the American Medical Association, vol. 300, no. 23, pp. 2754–2764, 2008. View at Publisher · View at Google Scholar · View at Scopus
  3. B. M. Wolpin, J. A. Meyerhardt, A. T. Chan et al., “Insulin, the insulin-like growth factor axis, and mortality in patients with nonmetastatic colorectal cancer,” Journal of Clinical Oncology, vol. 27, no. 2, pp. 176–185, 2009. View at Publisher · View at Google Scholar · View at Scopus
  4. J. Ma, H. Li, E. Giovannucci et al., “Prediagnostic body-mass index, plasma C-peptide concentration, and prostate cancer-specific mortality in men with prostate cancer: a long-term survival analysis,” The Lancet Oncology, vol. 9, no. 11, pp. 1039–1047, 2008. View at Publisher · View at Google Scholar · View at Scopus
  5. L. L. Lipscombe, P. J. Goodwin, B. Zinman, J. R. McLaughlin, and J. E. Hux, “The impact of diabetes on survival following breast cancer,” Breast Cancer Research and Treatment, vol. 109, no. 2, pp. 389–395, 2008. View at Publisher · View at Google Scholar · View at Scopus
  6. L. C. Richardson and L. A. Pollack, “Therapy insight: influence of type 2 diabetes on the development, treatment and outcomes of cancer,” Nature Clinical Practice Oncology, vol. 2, no. 1, pp. 48–53, 2005. View at Publisher · View at Google Scholar · View at Scopus
  7. M. A. Weiser, M. E. Cabanillas, M. Konopleva et al., “Relation between the duration of remission and hyperglycemia during induction chemotherapy for acute lymphocytic leukemia with a hyperfractionated cyclophosphamide, vincristine, doxorubicin, and dexamethasone/methotrexate-cytarabine regimen,” Cancer, vol. 100, no. 6, pp. 1179–1185, 2004. View at Publisher · View at Google Scholar · View at Scopus
  8. S. S. Coughlin, E. E. Calle, L. R. Teras, J. Petrelli, and M. J. Thun, “Diabetes mellitus as a predictor of cancer mortality in a large cohort of US adults,” The American Journal of Epidemiology, vol. 159, no. 12, pp. 1160–1167, 2004. View at Publisher · View at Google Scholar · View at Scopus
  9. S. H. Saydah, C. M. Loria, M. S. Eberhardt, and F. L. Brancati, “Abnormal glucose tolerance and the risk of cancer death in the United States,” The American Journal of Epidemiology, vol. 157, no. 12, pp. 1092–1100, 2003. View at Publisher · View at Google Scholar · View at Scopus
  10. G. Verlato, G. Zoppini, E. Bonora, and M. Muggeo, “Mortality from site-specific malignancies in type 2 diabetic patients from Verona,” Diabetes Care, vol. 26, no. 4, pp. 1047–1051, 2003. View at Publisher · View at Google Scholar · View at Scopus
  11. J. A. Meyerhardt, P. J. Catalano, D. G. Haller et al., “Impact of diabetes mellitus on outcomes in patients with colon cancer,” Journal of Clinical Oncology, vol. 21, no. 3, pp. 433–440, 2003. View at Publisher · View at Google Scholar · View at Scopus
  12. I. Wolf, S. Sadetzki, R. Catane, A. Karasik, and B. Kaufman, “Diabetes mellitus and breast cancer,” The Lancet Oncology, vol. 6, no. 2, pp. 103–111, 2005. View at Publisher · View at Google Scholar · View at Scopus
  13. L. V. van de Poll-Franse, S. Houterman, M. L. G. Janssen-Heijnen, M. W. Dercksen, J. W. W. Coebergh, and H. R. Haak, “Less aggressive treatment and worse overall survival in cancer patients with diabetes: a large population based analysis,” International Journal of Cancer, vol. 120, no. 9, pp. 1986–1992, 2007. View at Publisher · View at Google Scholar · View at Scopus
  14. A. M. McBean and X. Yu, “The underuse of screening services among elderly women with diabetes,” Diabetes Care, vol. 30, no. 6, pp. 1466–1472, 2007. View at Publisher · View at Google Scholar · View at Scopus
  15. M. D. Danese, C. O’Malley, K. Lindquist, M. Gleeson, and R. I. Griffiths, “An observational study of the prevalence and incidence of comorbid conditions in older women with breast cancer,” Annals of Oncology, vol. 23, no. 7, pp. 1756–1765, 2012.
  16. N. L. Keating, M. B. Landrum, J. Z. Ayanian, E. P. Winer, and E. Guadagnoli, “The association of ambulatory care with breast cancer stage at diagnosis among medicare beneficiaries,” Journal of General Internal Medicine, vol. 20, no. 1, pp. 38–44, 2005. View at Publisher · View at Google Scholar · View at Scopus
  17. M. E. Gornick, P. W. Eggers, and G. F. Riley, “Associations of race, education, and patterns of preventive service use with stage of cancer at time of diagnosis,” Health Services Research, vol. 39, no. 5, pp. 1403–1427, 2004. View at Publisher · View at Google Scholar · View at Scopus
  18. S. T. Fleming, H. G. Pursley, B. Newman, D. Pavlov, and K. Chen, “Comorbidity as a predictor of stage of illness for patients with breast cancer,” Medical Care, vol. 43, no. 2, pp. 132–140, 2005. View at Publisher · View at Google Scholar · View at Scopus
  19. L. X. Clegg, M. E. Reichman, B. A. Miller et al., “Impact of socioeconomic status on cancer incidence and stage at diagnosis: selected findings from the surveillance, epidemiology, and end results: National Longitudinal Mortality Study,” Cancer Causes and Control, vol. 20, no. 4, pp. 417–435, 2009. View at Publisher · View at Google Scholar · View at Scopus
  20. J. L. Warren, C. N. Klabunde, D. Schrag, P. B. Bach, and G. F. Riley, “Overview of the SEER-Medicare data: content, research applications, and generalizability to the United States elderly population,” Medical Care, vol. 40, no. 8, pp. 3–18, 2002. View at Scopus
  21. National Cancer Institute, “Overview of the SEER Program,” National Cancer Institute, Bethesda, Md, USA, 2011, http://seer.cancer.gov/about/overview.html.
  22. National Cancer Institute, “Overview of the SEER Program,” National Cancer Institute, Bethesda, Md, USA, 2011, http://healthservices.cancer.gov/seermedicare/overview/linked.html.
  23. The American Cancer Society Cancer Action Network, “Cancer and Medicare: a chartbook,” The American Cancer Society, Washington, DC, USA, 2012, http://action.acscan.org/site/DocServer/medicare-chartbook.pdf?docID=12061.
  24. P. L. Hebert, L. S. Geiss, E. F. Tierney, M. M. Engelgau, B. P. Yawn, and A. M. McBean, “Identifying persons with diabetes using medicare claims data,” The American Journal of Medical Quality, vol. 14, no. 6, pp. 270–277, 1999. View at Scopus
  25. A. Fritz and L. Ries, Eds., SEER Program Code Manual, Cancer Statistics Branch, Surveillance Program, Division of Cancer Control and Pop Sciences, National Cancer Institute, National Institutes of Health, Public Health Service, U.S. Dept of Health and Human Services, Bethesda, Md, USA, 3rd edition, 1998, http://seer.cancer.gov/manuals/codeman.pdf.
  26. C. N. Klabunde, A. L. Potosky, J. M. Legler, and J. L. Warren, “Development of a comorbidity index using physician claims data,” Journal of Clinical Epidemiology, vol. 53, no. 12, pp. 1258–1267, 2000. View at Publisher · View at Google Scholar · View at Scopus
  27. C. N. Klabunde, J. M. Legler, J. L. Warren, L.-M. Baldwin, and D. Schrag, “A refined comorbidity measurement algorithm for claims-based studies of breast, prostate, colorectal, and lung cancer patients,” Annals of Epidemiology, vol. 17, no. 8, pp. 584–590, 2007. View at Publisher · View at Google Scholar · View at Scopus
  28. National Cancer Institute, “Overview of the SEER Program,” National Cancer Institute, Bethesda, Md, USA, 2010, http://healthservices.cancer.gov/seermedicare/program/remove.ruleout.dxcodes.macro.txt.
  29. National Cancer Institute, “of the SEER Program,” National Cancer Institute, Bethesda, Md, USA, 2010, http://healthservices.cancer.gov/seermedicare/program/charlson.comorbidity.macro.txt.
  30. M. E. Charlson, P. Pompei, K. A. Ales, and C. R. MacKenzie, “A new method of classifying prognostic comorbidity in longitudinal studies: development and validation,” Journal of Chronic Diseases, vol. 40, no. 5, pp. 373–383, 1987. View at Scopus
  31. R. A. Deyo, D. C. Cherkin, and M. A. Ciol, “Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases,” Journal of Clinical Epidemiology, vol. 45, no. 6, pp. 613–619, 1992. View at Publisher · View at Google Scholar · View at Scopus
  32. P. S. Romano, L. L. Roos, H. S. Luft, J. G. Jollis, and K. Doliszny, “A comparison of administrative versus clinical data: coronary artery bypass surgery as an example,” Journal of Clinical Epidemiology, vol. 47, no. 3, pp. 249–260, 1994. View at Publisher · View at Google Scholar · View at Scopus
  33. R. Ashkenazy and M. J. Abrahamson, “Medicare coverage for patients with diabetes: a national plan with individual consequences,” Journal of General Internal Medicine, vol. 21, no. 4, pp. 386–392, 2006. View at Publisher · View at Google Scholar · View at Scopus