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Nima Hafezi‐nejad

Biographic Data

ID3477988
NAMENima Hafezi‐nejad
GIVEN NAMESNima
FAMILY NAMEHafezi‐nejad
SIGNATURENEJAD N H
AFFILIATIONSTehran University of Medical Sciences
ORCID0000-0001-9052-450X
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS0
WORKS AS AUTHOR6
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2014
LATEST PUBLICATION YEAR2023
H-INDEX0
  • Serum lipoprotein(a) and reclassification of coronary heart disease risk; application of prediction in a cross-sectional analysis of an ongoing Iranian cohort

    Open Access•Mojgan Ghavami, Alireza Abdshah et al.•ARTICLE•BMC Public Health•2023

    The study concluded that adding Lp(a) to the FRS model improves CHD risk prediction in an Iranian population without making the model too complex. This could help clinicians to better identify individuals who are at risk of developing CHD and to implement appropriate preventive measures

  • Global, regional, and national burden of chronic kidney disease, 1990–2017

    Open Access•Boris Bikbov, Caroline Purcell et al.•ARTICLE•The Lancet•2020

    BACKGROUND: Health system planning requires careful assessment of chronic kidney disease (CKD) epidemiology, but data for morbidity and mortality of this disease are scarce or non-existent in many countries. We estimated the global, regional, and national burden of CKD, as well as the burden of cardiovascular disease and gout attributable to impaired kidney function, for the Global Burden of Diseases, Injuries, and Risk Factors Study 2017. We use…

  • Global, Regional, and National Burden of Cardiovascular Diseases for 10 Causes, 1990 to 2015

    Open Access•Gregory A Roth, Catherine Johnson et al.•ARTICLE•Journal of the American College…•2017

    BACKGROUND: The burden of cardiovascular diseases (CVDs) remains unclear in many regions of the world. OBJECTIVES: The GBD (Global Burden of Disease) 2015 study integrated data on disease incidence, prevalence, and mortality to produce consistent, up-to-date estimates for cardiovascular burden. METHODS: CVD mortality was estimated from vital registration and verbal autopsy data. CVD prevalence was estimated using modeling software and data from h…

  • The global burden of injury

    Open Access•Juanita A Haagsma, N Graetz et al.•ARTICLE•Injury Prevention•2016

    BACKGROUND: The Global Burden of Diseases (GBD), Injuries, and Risk Factors study used the disability-adjusted life year (DALY) to quantify the burden of diseases, injuries, and risk factors. This paper provides an overview of injury estimates from the 2013 update of GBD, with detailed information on incidence, mortality, DALYs and rates of change from 1990 to 2013 for 26 causes of injury, globally, by region and by country. METHODS: Injury morta…

  • Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013

    Open Access•Marie Ng, Tom Fleming et al.•ARTICLE•The Lancet•2014

  • Revising the fasting glucose threshold for detection of cardiovascular risk factors

    Open Access•Alireza Esteghamati, Ali Zandieh et al.•ARTICLE•Annals of Human Biology•2014

    IFG and even lower levels of FPG are associated with high prevalence of cardiovascular risk factors in Iranian adults. This study suggests the FPG cut-off to be revised at 90 mg/dL to identify people with increased cardiovascular risk

No prominent works on this page.

  • Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013

    Open Access•Marie Ng, Tom Fleming et al.•ARTICLE•The Lancet•2014

  • Revising the fasting glucose threshold for detection of cardiovascular risk factors

    Open Access•Alireza Esteghamati, Ali Zandieh et al.•ARTICLE•Annals of Human Biology•2014

    IFG and even lower levels of FPG are associated with high prevalence of cardiovascular risk factors in Iranian adults. This study suggests the FPG cut-off to be revised at 90 mg/dL to identify people with increased cardiovascular risk

  • The global burden of injury

    Open Access•Juanita A Haagsma, N Graetz et al.•ARTICLE•Injury Prevention•2016

    BACKGROUND: The Global Burden of Diseases (GBD), Injuries, and Risk Factors study used the disability-adjusted life year (DALY) to quantify the burden of diseases, injuries, and risk factors. This paper provides an overview of injury estimates from the 2013 update of GBD, with detailed information on incidence, mortality, DALYs and rates of change from 1990 to 2013 for 26 causes of injury, globally, by region and by country. METHODS: Injury morta…

  • Global, Regional, and National Burden of Cardiovascular Diseases for 10 Causes, 1990 to 2015

    Open Access•Gregory A Roth, Catherine Johnson et al.•ARTICLE•Journal of the American College…•2017

    BACKGROUND: The burden of cardiovascular diseases (CVDs) remains unclear in many regions of the world. OBJECTIVES: The GBD (Global Burden of Disease) 2015 study integrated data on disease incidence, prevalence, and mortality to produce consistent, up-to-date estimates for cardiovascular burden. METHODS: CVD mortality was estimated from vital registration and verbal autopsy data. CVD prevalence was estimated using modeling software and data from h…

  • Global, regional, and national burden of chronic kidney disease, 1990–2017

    Open Access•Boris Bikbov, Caroline Purcell et al.•ARTICLE•The Lancet•2020

    BACKGROUND: Health system planning requires careful assessment of chronic kidney disease (CKD) epidemiology, but data for morbidity and mortality of this disease are scarce or non-existent in many countries. We estimated the global, regional, and national burden of CKD, as well as the burden of cardiovascular disease and gout attributable to impaired kidney function, for the Global Burden of Diseases, Injuries, and Risk Factors Study 2017. We use…

  • Serum lipoprotein(a) and reclassification of coronary heart disease risk; application of prediction in a cross-sectional analysis of an ongoing Iranian cohort

    Open Access•Mojgan Ghavami, Alireza Abdshah et al.•ARTICLE•BMC Public Health•2023

    The study concluded that adding Lp(a) to the FRS model improves CHD risk prediction in an Iranian population without making the model too complex. This could help clinicians to better identify individuals who are at risk of developing CHD and to implement appropriate preventive measures

Environmental health (5 works) · Medicine (5 works) · Diabetes, Cardiovascular Risks, and Lipoproteins (3 works) · Disease (3 works) · Population (3 works) · Disease burden (2 works) · Incidence (geometry) (2 works) · Intensive care medicine (2 works) · Internal Medicine (2 works) · Internal Medicine (2 works)

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