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题目:: The Cancer, Lifestyle and Evaluation of Risk Study (CLEAR): Rationale and design of an unmatched "case-spouse control" study of over 10,000 participants in New South Wales, Australia.
作者:: Sitas(F),Yap(S),Egger(S),Christian(K),Hodgkinson(V),Barton(M),Banks(E),Canfell(K),O'Connell(D L),Nair-Shalliker(V)
状态:: 发布时间2015-05-26 , 更新时间 2015-05-26
期刊:: Cancer Epidemiol
摘要:: The New South Wales (NSW) Cancer, Lifestyle and Evaluation of Risk Study (CLEAR) is an open epidemiological bioresource, using an all cancer unmatched case-spouse control design. Participant characteristics and selected confirmed associations are compared to published estimates: current smoking and lung cancer; country of birth and melanoma; body mass index (BMI) and bowel cancer; and paternal history of prostate cancer and prostate cancer, to illustrate the validity of this design.,Cases are NSW residents, ≥18 years, with an incident cancer of any type. Controls are cancer-free spouses of cases. Participants complete a consent form, a questionnaire, and provide an optional blood sample. For analyses, odds ratios for males and females are calculated for cancers and exposures of interest, by sex-matching controls to cases.,10,816 participants (8569 cases, 2247 controls, 54% female) recruited to-date, median age: 61.6 y cases, 61.3 y controls. The top five cancer types are female breast (n=1691), prostate (n=1102), bowel (n=888), melanoma (n=608), and lung (n=265). Adjusted odds ratios (OR) were: 20.65 (95% CI: 13.25-32.19) for lung cancer in current versus never smokers; 1.16 (1.05-1.28) for bowel cancer per 5 kg/m(2) increment in BMI; 1.41 (1.01-1.96) for melanoma in Australian-born compared to those born in UK/Ireland; and 2.47 (1.82-3.37) for prostate cancer in men with versus without a paternal history of prostate cancer.,This study design, where controls are the spouses of cases diagnosed with a variety of cancers and which are analysed unmatched, avoids potential biases due to overmatching, considered problematic in standard case-spouse control studies, and illustrates that risk estimates analysed are consistent with the published literature. CLEAR methodology provides a practical design to advance local knowledge on the causes of various leading and emerging cancers.
语言:: eng
DOI:: 10.1016/j.canep.2015.03.006

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