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Open AccessJournal ArticleDOI

2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines

TLDR
Since 1980, the American College of Cardiology and American Heart Association have translated scientific evidence into clinical practice guidelines (guidelines) with recommendations to improve cardiovascular health.
Abstract
Since 1980, the American College of Cardiology (ACC) and American Heart Association (AHA) have translated scientific evidence into clinical practice guidelines (guidelines) with recommendations to improve cardiovascular health. In 2013, the National Heart, Lung, and Blood Institute (NHLBI) Advisory

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Citations
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Beneficial Effects of High Potassium: Contribution of Renal Basolateral K + Channels

TL;DR: The prevalence of hypertension in the United States is estimated to have reached 85.7 million adults without taking into account new American College of Cardiology/American Heart Association guideline for the prevention, detection, evaluation, and management of high blood pressure, which is certain to increase this estimate.
Journal ArticleDOI

Dietary Intervention to Improve Blood Pressure Control: Beyond Salt Restriction

TL;DR: In this paper, a narrative review is presented to critically resume the most recent evidence supporting a complete approach to dietary counseling for hypertension prevention and management, which is particularly effective when associated with a significant weight loss.
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

Bias in meta-analysis detected by a simple, graphical test

TL;DR: Funnel plots, plots of the trials' effect estimates against sample size, are skewed and asymmetrical in the presence of publication bias and other biases Funnel plot asymmetry, measured by regression analysis, predicts discordance of results when meta-analyses are compared with single large trials.
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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