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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

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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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Difference between morning and evening home blood pressure and cardiovascular events: the J-HOP Study (Japan Morning Surge-Home Blood Pressure).

TL;DR: In this article, the authors used data from the nationwide practice-based J-HOP (Japan Morning Surge-Home BP) study, which recruited 4258 cardiovascular risk participants (mean age 64.9 years; 46.8% men; 79.2% using antihypertensive medications) who underwent morning and evening home BP monitoring using a validated, automated device for 14 consecutive days.
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Key Points of the 2019 Japanese Society of Hypertension Guidelines for the Management of Hypertension.

TL;DR: The new 2019 Japanese Society of Hypertension guidelines for the management of hypertension are now available; these update the previous guidelines published in 2014 and relate to the definition of normal blood pressure (BP) and target BP.
Journal ArticleDOI

Diurnal Regulation of Renal Electrolyte Excretion: The Role of Paracrine Factors.

TL;DR: The hope is that recognition of paracrine and circadian factors can be considered more deeply in the future when integrating with well-established neuroendocrine control of excretion.
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.
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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.
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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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