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      Preventive Role of Diet Interventions and Dietary Factors in Type 2 Diabetes Mellitus: An Umbrella Review

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          Abstract

          Background: Although the body of evidence indicates clear benefits of dietary modifications for prevention of type-2 diabetes mellitus (T2DM), it may be difficult for healthcare providers to recommend which diet interventions or dietary factors are appropriate for patients as there are too many modalities available. Accordingly, we performed an umbrella review to synthesize evidence on diet interventions and dietary factors in prevention of T2DM. Methods: Medline and Scopus databases were searched for relevant studies. Systematic reviews with meta-analyses of randomized-controlled trial or observational studies were eligible if they measured effects of diet interventions and/or dietary factors including dietary patterns, food groups, and nutrients on risk of T2DM. The effect of each diet intervention/factor was summarized qualitatively. Results: Sixty systematic reviews and meta-analyses were eligible. Results of the review suggest that healthy dietary patterns such as Mediterranean and Dietary Approaches to Stop Hypertension (DASH) diets, and high consumption of whole grains, low-fat dairy products, yogurt, olive oil, chocolate, fiber, magnesium, and flavonoid significantly reduced the risk of T2DM. In contrast, high glycemic index and glycemic load diets, high consumption of red and processed meat, and sugar or artificial sugar-sweetened beverages significantly increased risk of T2DM. Prescribing diet interventions with or without physical activity interventions significantly decreased risk of T2DM in both high-risk and general population. Conclusion: High consumption of Mediterranean and DASH diet, and interventions that modified the quality of diet intake significantly reduced risk of T2DM especially in the high-risk population. These lifestyle modifications should be promoted in both individual and population levels to prevent and decrease burden from T2DM in the future.

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          Systematic review finds overlapping reviews were not mentioned in every other overview.

          The objective of this study was to determine if the authors mention overlapping reviews in overviews (reviews of reviews). In addition, we aimed to calculate the actual overlap in published overviews using newly introduced, validated measures. We systematically searched for overviews from 2009 to 2011. Reviews included in the overviews were obtained. Tables (review×primary publication) were generated for each overview. The first occurrence of a primary publication is defined as the index publication. We calculated the "corrected covered area" (CCA) as a measure of overlap by dividing the frequency of repeated occurrences of the index publication in other reviews by the product of index publications and reviews, reduced by the number of index publications. Subgroup analyses were performed to investigate further differences in the overviews. Only 32 of 60 overviews mentioned overlaps. The median CCA was 4.0. Validation of the CCA and other overlap measures was in accordance with our predefined hypotheses. The degree of overlap tended to be higher in health technology assessment reports than in journal publications and was higher with increasing numbers of publications. Overlaps must be reported in well-conducted overviews, and this can comprehensively be accomplished using the CCA method. Copyright © 2014 Elsevier Inc. All rights reserved.
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            Food groups and risk of type 2 diabetes mellitus: a systematic review and meta-analysis of prospective studies

            The aim of this systematic review and meta-analysis was to synthesize the knowledge about the relation between intake of 12 major food groups and risk of type 2 diabetes (T2D). We conducted a systematic search in PubMed, Embase, Medline (Ovid), Cochrane Central, and Google Scholar for prospective studies investigating the association between whole grains, refined grains, vegetables, fruits, nuts, legumes, eggs, dairy, fish, red meat, processed meat, and sugar-sweetened beverages (SSB) on risk of T2D. Summary relative risks were estimated using a random effects model by contrasting categories, and for linear and non-linear dose–response relationships. Six out of the 12 food-groups showed a significant relation with risk of T2D, three of them a decrease of risk with increasing consumption (whole grains, fruits, and dairy), and three an increase of risk with increasing consumption (red meat, processed meat, and SSB) in the linear dose–response meta-analysis. There was evidence of a non-linear relationship between fruits, vegetables, processed meat, whole grains, and SSB and T2D risk. Optimal consumption of risk-decreasing foods resulted in a 42% reduction, and consumption of risk-increasing foods was associated with a threefold T2D risk, compared to non-consumption. The meta-evidence was graded “low” for legumes and nuts; “moderate” for refined grains, vegetables, fruit, eggs, dairy, and fish; and “high” for processed meat, red meat, whole grains, and SSB. Among the investigated food groups, selecting specific optimal intakes can lead to a considerable change in risk of T2D. Electronic supplementary material The online version of this article (doi:10.1007/s10654-017-0246-y) contains supplementary material, which is available to authorized users.
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              An exploratory test for an excess of significant findings.

              The published clinical research literature may be distorted by the pursuit of statistically significant results. We aimed to develop a test to explore biases stemming from the pursuit of nominal statistical significance. The exploratory test evaluates whether there is a relative excess of formally significant findings in the published literature due to any reason (e.g., publication bias, selective analyses and outcome reporting, or fabricated data). The number of expected studies with statistically significant results is estimated and compared against the number of observed significant studies. The main application uses alpha = 0.05, but a range of alpha thresholds is also examined. Different values or prior distributions of the effect size are assumed. Given the typically low power (few studies per research question), the test may be best applied across domains of many meta-analyses that share common characteristics (interventions, outcomes, study populations, research environment). We evaluated illustratively eight meta-analyses of clinical trials with >50 studies each and 10 meta-analyses of clinical efficacy for neuroleptic agents in schizophrenia; the 10 meta-analyses were also examined as a composite domain. Different results were obtained against commonly used tests of publication bias. We demonstrated a clear or possible excess of significant studies in 6 of 8 large meta-analyses and in the wide domain of neuroleptic treatments. The proposed test is exploratory, may depend on prior assumptions, and should be applied cautiously. An excess of significant findings may be documented in some clinical research fields.
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                Author and article information

                Journal
                Nutrients
                Nutrients
                nutrients
                Nutrients
                MDPI
                2072-6643
                06 September 2020
                September 2020
                : 12
                : 9
                : 2722
                Affiliations
                [1 ]Mahidol University Health Technology Assessment (MUHTA) Graduate Program, Mahidol University, Bangkok 10400, Thailand; phunglamtoi@ 123456hspi.org.vn (P.L.T.); usa.chi@ 123456mahidol.ac.th (U.C.); jambriones@ 123456gmail.com (J.R.B.); ammarin.tha@ 123456mahidol.edu (A.T.)
                [2 ]Health Strategy and Policy Institute, Ministry of Health, Hanoi 10400, Vietnam
                [3 ]Department of Family Medicine, Ramathibodi Hospital, Mahidol University, Bangkok 10400, Thailand
                [4 ]Social Administrative Pharmacy Division, Department of Pharmacy, Faculty of Pharmacy, Mahidol University, Bangkok 10400, Thailand
                [5 ]Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, University of Illinois College of Medicine at Chicago, 835 S Wolcott, Ste E625, Chicago, IL 60612, USA; sreutrak10800@ 123456gmail.com
                [6 ]Department of Clinical Epidemiology and Biostatistics, Ramathibodi Hospital, Mahidol University, Bangkok 10400, Thailand
                Author notes
                [* ]Correspondence: thunyarat.ano@ 123456mahidol.ac.th ; Tel.: +662-201-1406; Fax: +662-201-1486
                [†]

                P.L.T. and T.A. contribute equally to this work.

                Author information
                https://orcid.org/0000-0002-8326-388X
                https://orcid.org/0000-0001-9457-9823
                https://orcid.org/0000-0002-0686-1069
                Article
                nutrients-12-02722
                10.3390/nu12092722
                7551929
                32899917
                c6d58e4a-9caa-4bb9-8c80-09a4dd915727
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 21 July 2020
                : 02 September 2020
                Categories
                Review

                Nutrition & Dietetics
                diabetes mellitus,dietary patterns,nutrient,food,systematic review
                Nutrition & Dietetics
                diabetes mellitus, dietary patterns, nutrient, food, systematic review

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