Digitalis Use and the Risk of Breast Cancer: A Systematic Review and Meta-Analysis
Chen Zhang,
Shao-Hua Xie,
Bingfei Xu,
Shi Lu and
Pian Liu ()
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Chen Zhang: Huazhong University of Science and Technology
Shao-Hua Xie: Karolinska University Hospital
Bingfei Xu: Huazhong University of Science and Technology
Shi Lu: Huazhong University of Science and Technology
Pian Liu: Huazhong University of Science and Technology
Drug Safety, 2017, vol. 40, issue 4, No 2, 285-292
Abstract:
Abstract Introduction Previous epidemiological studies have indicated an increased risk of breast cancer associated with digitalis medication, though results are inconsistent. We performed this systematic review of available epidemiological studies to clarify the association between digitalis use and the risk of breast cancer. Methods A search of studies published through May 2016 in MEDLINE and EMBASE databases was performed, supplemented by manual searches of reference lists. The quality of the included studies was assessed, and relative risks were pooled using both random- and fixed-effect models. Results Three case–control studies and six cohort studies were identified. Meta-analysis generated a pooled relative risk of 1.35 (95% confidence interval 1.24–1.46) in both fixed- and random-effect models. The heterogeneity test suggested low heterogeneity across studies. The funnel plot suggested no existence of publication bias. Subgroup analysis by study design revealed an increased risk of breast cancer associated with digitalis use from cohort studies only (relative risk = 1.39, 95% confidence interval 1.27–1.52), rather than from case–control studies. Studies with adjustment for tobacco smoking or body mass index generated lower overall estimates than those not adjusted. Conclusions Existing epidemiological evidence regarding the association between digitalis use and the risk of breast cancer remains inconclusive and more well-designed studies are still needed.
Keywords: Breast Cancer; Breast Cancer Risk; Publication Bias; Tobacco Smoking; Exposure Assessment (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/s40264-016-0484-z
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