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Heart (British Cardiac Society)|August 5, 2024
Blood pressure management in type 2 diabetes: a review of recent evidenceMalgorzata Wamil, Milad Nazarzadeh, Kazem Rahimi
Current Cardiology Reports|May 7, 2022
How Much Lowering of Blood Pressure Is Required to Prevent Cardiovascular Disease in Patients With and Without Previous Cardiovascular Disease?Dexter Canoy, Milad Nazarzadeh, Emma Copland, et al.
Plos Medicine|March 7, 2018
Patterns and temporal trends of comorbidity among adult patients with incident cardiovascular disease in the UK between 2000 and 2014: A population-based cohort studyJenny Tran, Robyn Norton, Nathalie Conrad, et al.
Heart (British Cardiac Society)|February 1, 2019
Inflammation markers and risk of developing hypertension: a meta-analysis of cohort studiesAhmad Jayedi, Kazem Rahimi, Leonelo E Bautista, et al.
Heart (British Cardiac Society)|April 20, 2023
Systolic blood pressure, chronic obstructive pulmonary disease and cardiovascular riskShishir Rao, Milad Nazarzadeh, Yikuan Li, et al.
Scientific Reports|June 2, 2022
Investigating the association of environmental exposures and all-cause mortality in the UK Biobank using sparse principal component analysisMohammad Mamouei, Yajie Zhu, Milad Nazarzadeh, et al.
Hypertension (Dallas, Tex. : 1979)|December 30, 2022
Systolic Blood Pressure and Cardiovascular Risk in Patients With Diabetes: A Prospective Cohort StudyShishir Rao, Yikuan Li, Milad Nazarzadeh, et al.
Plos Medicine|October 18, 2017
Elevated blood pressure and risk of mitral regurgitation: A longitudinal cohort study of 5.5 million United Kingdom adultsKazem Rahimi, Hamid Mohseni, Catherine M Otto, et al.
BMJ Open|May 25, 2019
Investigating the stratified efficacy and safety of pharmacological blood pressure-lowering: an overall protocol for individual patient-level data meta-analyses of over 300 000 randomised participants in the new phase of the Blood Pressure Lowering Treatment Trialists' Collaboration (BPLTTC)Kazem Rahimi, Dexter Canoy, Milad Nazarzadeh, et al.
Plos Medicine|November 21, 2018
Predicting the risk of emergency admission with machine learning: Development and validation using linked electronic health recordsFatemeh Rahimian, Gholamreza Salimi-Khorshidi, Amir H Payberah, et al.
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