E
Elham Hooshmand
Publications - 8
Citations - 287
Elham Hooshmand is an academic researcher. The author has contributed to research in topics: Internal medicine & Medicine. The author has an hindex of 5, co-authored 5 publications receiving 199 citations.
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Journal ArticleDOI
Survival rate of AIDS disease and mortality in HIV-infected patients: a meta-analysis
TL;DR: The majority of HIV-positive patients progress to AIDS within the first decade of diagnosis, and most patients who receive HAART will survive for >10 years after the onset of AIDS, whereas the majority of the patients who do not receiveHAART die within 2 years of the onsetof AIDS.
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Oral potassium supplementation for management of essential hypertension: A meta-analysis of randomized controlled trials.
Jalal Poorolajal,Jalal Poorolajal,Fatemeh Zeraati,Ali Reza Soltanian,Vida Sheikh,Elham Hooshmand,Akram Maleki +6 more
TL;DR: The findings indicated that potassium supplementation is a safe medication with no important adverse effects that has a modest but significant impact BP and may be recommended as an adjuvant antihypertensive agent for patients with essential hypertension.
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Effect of smoking on multiple sclerosis: a meta-analysis
TL;DR: Smoking habits are significantly associated with MS, although the association is not very strong, however, there is a dose-response relationship between the smoking habits and MS.
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Booster dose vaccination for preventing hepatitis B
Jalal Poorolajal,Elham Hooshmand +1 more
TL;DR: Assessment of the benefits and harms of booster dose hepatitis B vaccination, more than five years after the primary vaccination, for preventing HBV infection in healthy individuals previously vaccinated with the hepatitis B vaccine, and with hepatitis B surface antibody (anti-HBs) levels below 10 mIU/mL.
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How much excess weight loss can reduce the risk of hypertension
TL;DR: Excess weight loss is a vital strategy for controlling hypertension and is sufficient for achieving the global target, particularly if it is accompanied with other preventive measures, as well as the strength of association using risk ratio and the excess risk using attributable risk fraction based on the random‐effects model.