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      Selenium, antioxidants, cardiovascular disease, and all-cause mortality: a systematic review and meta-analysis of randomized controlled trials

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          ABSTRACT

          Background

          Antioxidants have been promoted for cardiovascular disease (CVD) risk reduction and for the prevention of cancer. Our preliminary analysis suggested that only when selenium was present were antioxidant mixtures associated with reduced all-cause mortality.

          Objective

          We conducted a systematic review and meta-analysis of randomized controlled trials (RCTs) to determine the effect of selenium supplementation alone and of antioxidant mixtures with or without selenium on the risk of CVD, cancer, and mortality.

          Methods

          We identified studies using the Cochrane Library, Medline, and Embase for potential CVD outcomes, cancer, and all-cause mortality following selenium supplementation alone or after antioxidant supplement mixtures with and without selenium up to June 5, 2020. RCTs of ≥24 wk were included and data were analyzed using random-effects models and classified by the Grading of Recommendations, Assessment, Development, and Evaluation approach.

          Results

          The meta-analysis identified 9423 studies, of which 43 were used in the final analysis. Overall, no association of selenium alone or antioxidants was seen with CVD and all-cause mortality. However, a decreased risk with antioxidant mixtures was seen for CVD mortality when selenium was part of the mix (RR: 0.77; 95% CI: 0.62, 0.97; P = 0.02), with no association when selenium was absent. Similarly, when selenium was part of the antioxidant mixture, a decreased risk was seen for all-cause mortality (RR: 0.90; 95% CI: 0.82, 0.98; P = 0.02) as opposed to an increased risk when selenium was absent (RR: 1.09; 95% CI: 1.04, 1.13; P = 0.0002).

          Conclusion

          The addition of selenium should be considered for supplements containing antioxidant mixtures if they are to be associated with CVD and all-cause mortality risk reduction. This trial was registered at https://www.crd.york.ac.uk/PROSPERO/ as CRD42019138268.

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          Most cited references88

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          Measuring inconsistency in meta-analyses.

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            The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials

            Flaws in the design, conduct, analysis, and reporting of randomised trials can cause the effect of an intervention to be underestimated or overestimated. The Cochrane Collaboration’s tool for assessing risk of bias aims to make the process clearer and more accurate
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              Bias in meta-analysis detected by a simple, graphical test.

              Funnel plots (plots of effect estimates against sample size) may be useful to detect bias in meta-analyses that were later contradicted by large trials. We examined whether a simple test of asymmetry of funnel plots predicts discordance of results when meta-analyses are compared to large trials, and we assessed the prevalence of bias in published meta-analyses. Medline search to identify pairs consisting of a meta-analysis and a single large trial (concordance of results was assumed if effects were in the same direction and the meta-analytic estimate was within 30% of the trial); analysis of funnel plots from 37 meta-analyses identified from a hand search of four leading general medicine journals 1993-6 and 38 meta-analyses from the second 1996 issue of the Cochrane Database of Systematic Reviews. Degree of funnel plot asymmetry as measured by the intercept from regression of standard normal deviates against precision. In the eight pairs of meta-analysis and large trial that were identified (five from cardiovascular medicine, one from diabetic medicine, one from geriatric medicine, one from perinatal medicine) there were four concordant and four discordant pairs. In all cases discordance was due to meta-analyses showing larger effects. Funnel plot asymmetry was present in three out of four discordant pairs but in none of concordant pairs. In 14 (38%) journal meta-analyses and 5 (13%) Cochrane reviews, funnel plot asymmetry indicated that there was bias. A simple analysis of funnel plots provides a useful test for the likely presence of bias in meta-analyses, but as the capacity to detect bias will be limited when meta-analyses are based on a limited number of small trials the results from such analyses should be treated with considerable caution.
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                Author and article information

                Contributors
                Journal
                Am J Clin Nutr
                Am J Clin Nutr
                ajcn
                The American Journal of Clinical Nutrition
                Oxford University Press
                0002-9165
                1938-3207
                December 2020
                14 October 2020
                14 October 2020
                : 112
                : 6
                : 1642-1652
                Affiliations
                Department of Nutritional Sciences, Faculty of Medicine, University of Toronto , Toronto, Ontario, Canada
                Li Ka Shing Knowledge Institute, St. Michael's Hospital , Toronto, Ontario, Canada
                Toronto 3D Knowledge Synthesis and Clinical Trials Unit , Toronto, Ontario, Canada
                Clinical Nutrition Risk Factor Modification Centre, St. Michael's Hospital , Toronto, Ontario, Canada
                Division of Endocrinology and Metabolism, St. Michael's Hospital , Toronto, Ontario, Canada
                Food Nutrition and Health, Faculty of Land and Food Systems, University of British Columbia , Vancouver, British Columbia, Canada
                Department of Nutrition and Epidemiology, Harvard TH Chan School of Public Health , Boston, MA, USA
                Department of Nutritional Sciences, Faculty of Medicine, University of Toronto , Toronto, Ontario, Canada
                Clinical Nutrition Risk Factor Modification Centre, St. Michael's Hospital , Toronto, Ontario, Canada
                Department of Nutritional Sciences, Faculty of Medicine, University of Toronto , Toronto, Ontario, Canada
                Clinical Nutrition Risk Factor Modification Centre, St. Michael's Hospital , Toronto, Ontario, Canada
                Department of Nutritional Sciences, Faculty of Medicine, University of Toronto , Toronto, Ontario, Canada
                Toronto 3D Knowledge Synthesis and Clinical Trials Unit , Toronto, Ontario, Canada
                Clinical Nutrition Risk Factor Modification Centre, St. Michael's Hospital , Toronto, Ontario, Canada
                Department of Nutritional Sciences, Faculty of Medicine, University of Toronto , Toronto, Ontario, Canada
                Clinical Nutrition Risk Factor Modification Centre, St. Michael's Hospital , Toronto, Ontario, Canada
                Department of Nutritional Sciences, Faculty of Medicine, University of Toronto , Toronto, Ontario, Canada
                Clinical Nutrition Risk Factor Modification Centre, St. Michael's Hospital , Toronto, Ontario, Canada
                Clinical Nutrition Risk Factor Modification Centre, St. Michael's Hospital , Toronto, Ontario, Canada
                Department of Nutritional Sciences, Faculty of Medicine, University of Toronto , Toronto, Ontario, Canada
                Toronto 3D Knowledge Synthesis and Clinical Trials Unit , Toronto, Ontario, Canada
                Clinical Nutrition Risk Factor Modification Centre, St. Michael's Hospital , Toronto, Ontario, Canada
                College of Pharmacy and Nutrition, University of Saskatchewan , Saskatoon, Saskatchewan, Canada
                Department of Nutritional Sciences, Faculty of Medicine, University of Toronto , Toronto, Ontario, Canada
                Department of Mathematics and Statistics, University of Windsor , Windsor, Canada
                Department of Nutritional Sciences, Faculty of Medicine, University of Toronto , Toronto, Ontario, Canada
                Li Ka Shing Knowledge Institute, St. Michael's Hospital , Toronto, Ontario, Canada
                Toronto 3D Knowledge Synthesis and Clinical Trials Unit , Toronto, Ontario, Canada
                Clinical Nutrition Risk Factor Modification Centre, St. Michael's Hospital , Toronto, Ontario, Canada
                Division of Endocrinology and Metabolism, St. Michael's Hospital , Toronto, Ontario, Canada
                Author notes
                Address correspondence to DJAJ (e-mail: david.jenkins@ 123456utoronto.ca )
                Article
                nqaa245
                10.1093/ajcn/nqaa245
                7727482
                33053149
                16406955-9ca0-4790-a0e8-c4b092ce5720
                © The Author(s) 2020. Published by Oxford University Press on behalf of the American Society for Nutrition.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@ 123456oup.com

                Page count
                Pages: 11
                Product
                Funding
                Funded by: Canada Research Chairs, DOI 10.13039/501100001804;
                Categories
                Original Research Communications
                Dietary Supplements
                AcademicSubjects/MED00060
                AcademicSubjects/MED00160

                Nutrition & Dietetics
                supplements,antioxidants,selenium,cardiovascular disease,all-cause mortality,meta-analysis

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