Literature DB >> 25104332

Diabetes and breast cancer in Taiwanese women: a detection bias?

Chin-Hsiao Tseng1.   

Abstract

PURPOSE: To evaluate whether diabetes is a risk factor for breast cancer considering confounders and potential detection examinations.
METHODS: National Health Insurance data on 501,747 women without breast cancer were retrieved. Three-year cumulative incidence (2003-2005) and risk ratios (RRs) between diabetic and nondiabetic women were calculated. Potential detection examinations were compared between diabetic and nondiabetic women by chi-square test. Odds ratios (ORs) were estimated by logistic regression for diabetes status/duration with and without adjustment for potential detection examinations and confounders.
RESULTS: The crude RR (95% confidence interval [CI]) for all ages, and age groups < 50, 50-64 and ≥ 65 years, was 2·62 (2·31-2·91), 2·69 (2·11-3·44), 1·39 (1·15-1·68) and 1·37 (1·03-1·84), respectively. Patients with diabetes more frequently received potential detection examinations than nondiabetes (17·5% vs. 7·4%, P-value < 0·001). The unadjusted OR (95% CI) for breast cancer for diabetes status (yes vs. no) was 2·63 (2·31-2·98) and was significant for any diabetes duration. The OR for diabetes status was 1·81 (95% CI: 1·59-2·06) after adjustment for potential detection examinations. In models adjusted for potential detection examinations, age, living region, occupation, comorbidities and used medications, OR for diabetes status attenuated to 1·13 (95% CI 0·96-1·32, P-value = 0·14) and none was significant for any diabetes duration. Potential detection examinations were associated with a fivefold to sevenfold higher risk in various models, indicating a strong impact of detection bias.
CONCLUSIONS: An association between diabetes and breast cancer is observed, but this can be due to potential detection bias and confounders.
© 2014 Stichting European Society for Clinical Investigation Journal Foundation.

Entities:  

Keywords:  Breast cancer; Taiwan; cumulative incidence; diabetes mellitus; risk ratio

Mesh:

Year:  2014        PMID: 25104332     DOI: 10.1111/eci.12323

Source DB:  PubMed          Journal:  Eur J Clin Invest        ISSN: 0014-2972            Impact factor:   4.686


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