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Doctor Dexter Canoy

Newcastle University, Newcastle-Upon-Tyne (United Kingdom of Great Britain & Northern Ireland)

Member of:

European Society of Cardiology

Dr. Dexter Canoy is a Senior Lecturer in Epidemiology and Public Health in the Population Health Sciences Institute at Newcastle University, UK. He obtained his medical degree at the University of the Philippines and doctorate in epidemiology at University of Cambridge. He has research interests in identifying causes and determinants of cardiovascular and metabolic health in the population. He contributes to interdisciplinary research that combines expertise in big data, clinical medicine and epidemiology. He is involved in the NIHR Artificial Intelligence for Multiple Long-Term Condition (AI-Multiply) collaboration, OCTage (monitoring the ageing brain via eye Optical Coherence Tomography), and the Blood Pressure Lowering Treatment Trialists Collaboration (BPLTTC). Currently, Dr Canoy also serves as Specialty Chief Editor of the Cardiovascular Epidemiology and Prevention section of Frontiers in Cardiovascular Medicine journal.

Association between comorbidities and blood pressure trajectories in patients with hypertension

Event: ESC Congress 2020

Topic: Epidemiology, Prognosis, Outcome

Session: Hypertension in High-Risk Populations

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Cardiometabolic disease, comorbidities and risk of death: Findings using data from large-scale electronic health records

Event: ESC Congress 2020

Topic: Epidemiology

Session: Risk Factors and Prevention ePosters

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Stratified effects of blood pressure-lowering treatment on long-term blood pressure: an individual patient-level meta-analysis involving 50 randomised trials and 334,219 participants

Event: ESC Congress 2020

Topic: Treatment

Session: Hypertension ePosters

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Long-term past, current and usual systolic blood pressure and incident cardiovascular disease: risk prediction using large-scale, routinely recorded clinical data

Event: ESC Congress 2019

Topic: Cardiovascular Risk Assessment

Session: Cardiovascular risk factors, prevalence and prognosis

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