Spiros Denaxas
Cited by
Cited by
Blood pressure and incidence of twelve cardiovascular diseases: lifetime risks, healthy life-years lost, and age-specific associations in 1· 25 million people
E Rapsomaniki, A Timmis, J George, M Pujades-Rodriguez, AD Shah, ...
The Lancet 383 (9932), 1899-1911, 2014
Type 2 diabetes and incidence of cardiovascular diseases: a cohort study in 1· 9 million people
AD Shah, C Langenberg, E Rapsomaniki, S Denaxas, ...
The Lancet Diabetes & endocrinology 3 (2), 105-113, 2015
Completeness and diagnostic validity of recording acute myocardial infarction events in primary care, hospital care, disease registry, and national mortality records: cohort study
E Herrett, AD Shah, R Boggon, S Denaxas, L Smeeth, T van Staa, ...
BMJ 346, f2350, 2013
Estimating excess 1-year mortality associated with the COVID-19 pandemic according to underlying conditions and age: a population-based cohort study
A Banerjee, L Pasea, S Harris, A Gonzalez-Izquierdo, A Torralbo, ...
The Lancet, 2020
The Myocardial Ischaemia National Audit Project (MINAP)
H Emily, S Liam, W Lynne, W Clive, MAG
Heart 96, 1264-1267, 2010
Data resource profile: cardiovascular disease research using linked bespoke studies and electronic health records (CALIBER)
SC Denaxas, J George, E Herrett, AD Shah, D Kalra, AD Hingorani, ...
International journal of epidemiology 41 (6), 1625-1638, 2012
Association between clinically recorded alcohol consumption and initial presentation of 12 cardiovascular diseases: population based cohort study using linked health records
S Bell, M Daskalopoulou, E Rapsomaniki, J George, A Britton, M Bobak, ...
BMJ 356, j909, 2017
Estimated impact of the COVID-19 pandemic on cancer services and excess 1-year mortality in people with cancer and multimorbidity: near real-time data on cancer care, cancer …
AG Lai, L Pasea, A Banerjee, G Hall, S Denaxas, WH Chang, M Katsoulis, ...
BMJ Open 10 (11), e043828, 2020
Influenza infection and risk of acute myocardial infarction in England and Wales: a CALIBER self-controlled case series study
C Warren-Gash, AC Hayward, H Hemingway, S Denaxas, SL Thomas, ...
The Journal of infectious diseases 206 (11), 1652-1659, 2012
How does cardiovascular disease first present in women and men? Incidence of 12 cardiovascular diseases in a contemporary cohort of 1 937 360 people
J George, E Rapsomaniki, M Pujades-Rodriguez, AD Shah, S Denaxas, ...
Circulation 132 (14), 1320-1328, 2015
Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure
S Shah, A Henry, C Roselli, H Lin, G Sveinbjörnsson, G Fatemifar, ...
Nature communications 11 (1), 1-12, 2020
Depression as a risk factor for the initial presentation of twelve cardiac, cerebrovascular, and peripheral arterial diseases: data linkage study of 1.9 million women and men
M Daskalopoulou, J George, K Walters, DP Osborn, GD Batty, ...
PloS one 11 (4), e0153838, 2016
Big data from electronic health records for early and late translational cardiovascular research: challenges and potential
H Hemingway, FW Asselbergs, J Danesh, R Dobson, N Maniadakis, ...
European Heart Journal, 2017
Heterogeneous associations between smoking and a wide range of initial presentations of cardiovascular disease in 1 937 360 people in England: lifetime risks and implications …
M Pujades-Rodriguez, J George, AD Shah, E Rapsomaniki, S Denaxas, ...
International journal of epidemiology 44 (1), 129-141, 2015
Prognostic models for stable coronary artery disease based on electronic health record cohort of 102 023 patients
E Rapsomaniki, A Shah, P Perel, S Denaxas, J George, O Nicholas, ...
European heart journal 35 (13), 844-852, 2014
Extracting diagnoses and investigation results from unstructured text in electronic health records by semi-supervised machine learning
Z Wang, AD Shah, AR Tate, S Denaxas, J Shawe-Taylor, H Hemingway
PLoS One 7 (1), e30412, 2012
Socioeconomic deprivation and the incidence of 12 cardiovascular diseases in 1.9 million women and men: implications for risk prediction and prevention
M Pujades-Rodriguez, A Timmis, D Stogiannis, E Rapsomaniki, ...
PloS one 9 (8), e104671, 2014
Machine learning models in electronic health records can outperform conventional survival models for predicting patient mortality in coronary artery disease
AJ Steele, SC Denaxas, AD Shah, H Hemingway, NM Luscombe
PloS one 13 (8), e0202344, 2018
Prognostic burden of heart failure recorded in primary care, acute hospital admissions, or both: a population‐based linked electronic health record cohort study in 2.1 million …
S Koudstaal, M Pujades‐Rodriguez, S Denaxas, JMIH Gho, AD Shah, ...
European journal of heart failure 19 (9), 1119-1127, 2017
Defining disease phenotypes using national linked electronic health records: a case study of atrial fibrillation
KI Morley, J Wallace, SC Denaxas, RJ Hunter, RS Patel, P Perel, ...
PloS one 9 (11), e110900, 2014
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