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Nemat O. Borhani

Researcher at University of California, Davis

Publications -  114
Citations -  11272

Nemat O. Borhani is an academic researcher from University of California, Davis. The author has contributed to research in topics: Blood pressure & Population. The author has an hindex of 41, co-authored 114 publications receiving 10980 citations. Previous affiliations of Nemat O. Borhani include Brigham and Women's Hospital & Drexel University.

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Combinations of Potassium, Calcium, and Magnesium Supplements in Hypertension

TL;DR: Little evidence is provided of an important role of combinations of cation supplements in the treatment of mild or borderline hypertension and the mean differences in systolic and diastolic blood pressures between the treatment and placebo groups were not significant.
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Serum cholesterol and cancer in the Hypertension Detection and Follow-up Program.

TL;DR: The relationship is weak and a causal interpretation of these immediate results cannot be argued persuasively, but examinations of specific cancer sites and factors related to serum cholesterol are suggested as important lines of research toward clarification of the complex relationships observed.
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Lack of blood pressure effect with calcium and magnesium supplementation in adults with high-normal blood pressure

TL;DR: In a randomized, multicenter investigation that included double-blind, placebo-controlled testing of calcium and magnesium supplements among 698 healthy adults (10.5% blacks and 31% women) aged 30 to 54 years with high-normal diastolic blood pressure (DBP) (80 to 89 mm Hg) as mentioned in this paper, neither calcium nor magnesium produced significant changes in blood pressure at 3 and 6 months.
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Utility of New Electrocardiographic Models for Left Ventricular Mass in Older Adults

TL;DR: Echocardiographic and electrocardiographic models both demonstrated similar and about equally strong associations with overt and subclinical disease and with risk factors for left ventricular hypertrophy, demonstrating the potential utility of electrocardIographic models forleft ventricular mass estimation.