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Open AccessJournal ArticleDOI

Whole grain and body weight changes in apparently healthy adults: a systematic review and meta-analysis of randomized controlled studies

TLDR
Whole-grain consumption does not decrease body weight compared with control consumption, but a small beneficial effect on body fat may be present.
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This article is published in The American Journal of Clinical Nutrition.The article was published on 2013-10-01 and is currently open access. It has received 241 citations till now. The article focuses on the topics: Blood lipids & Cholesterol.

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2019 ESC/EAS Guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular riskThe Task Force for the management of dyslipidaemias of the European Society of Cardiology (ESC) and European Atherosclerosis Society (EAS)

François Mach, +120 more
Journal ArticleDOI

2019 ESC/EAS Guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk

TL;DR: Authors/Task Force Members (François Macha, Colin Baigentb,∗∗,2, Alberico L. Catapanoc), ESC Committee for Practice Guidelines (CPG) (Stephan Windeckeraa), ESC National Cardiac Societies (Djamaleddine Nibouchean, Parounak H. Patelcl)
Journal ArticleDOI

2016 ESC/EAS Guidelines for the Management of Dyslipidaemias

TL;DR: The Task Force for the Management of Dyslipidaemias of the European Society of Cardiology and European Atherosclerosis Society and EAS and ABI : ankle-brachial index are formed.
Journal ArticleDOI

Whole grain consumption and risk of cardiovascular disease, cancer, and all cause and cause specific mortality: systematic review and dose-response meta-analysis of prospective studies

TL;DR: Evidence is provided that whole grain intake is associated with a reduced risk of coronary heart disease, cardiovascular disease, and total cancer, and mortality from all causes, respiratory diseases, infectious diseases, diabetes, and all non-cardiovascular, non-cancer causes.
References
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Journal ArticleDOI

Measuring inconsistency in meta-analyses

TL;DR: A new quantity is developed, I 2, which the authors believe gives a better measure of the consistency between trials in a meta-analysis, which is susceptible to the number of trials included in the meta- analysis.
Journal ArticleDOI

Quantifying heterogeneity in a meta‐analysis

TL;DR: It is concluded that H and I2, which can usually be calculated for published meta-analyses, are particularly useful summaries of the impact of heterogeneity, and one or both should be presented in publishedMeta-an analyses in preference to the test for heterogeneity.
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