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
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Sitas, Freddy
Yap, S
Egger, Sam
Christian, K
Hodgkinson, V
Barton, Michael
Banks, Emily
Canfell, K
O'Connell, Dianne
Nair-Shalliker, Visalini
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Elsevier
Abstract
Introduction: 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.
Material and methods: 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.
Results: 10,816 participants (8569 cases, 2247 controls, 54% female) recruited to-date, median age: 61.6y cases, 61.3y 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/m2 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.
Discussion: 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.
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Cancer Epidemiology
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2037-12-31
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