Browse by UCL people
Group by: Type | Date
Number of items: 59.
Article
Allan, V;
Banerjee, A;
Shah, AD;
Patel, R;
Denaxas, S;
Casas, JP;
Hemingway, H;
(2016)
Net clinical benefit of warfarin in individuals with atrial fibrillation across stroke risk and across primary and secondary care.
Heart
, 103
(3)
pp. 210-218.
10.1136/heartjnl-2016-309910.
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Asaria, M;
Walker, S;
Palmer, S;
Gale, CP;
Shah, AD;
Abrams, KR;
Crowther, M;
... Sculpher, M; + view all
(2016)
Using electronic health records to predict costs and outcomes in stable coronary artery disease.
Heart
, 102
(10)
pp. 755-762.
10.1136/heartjnl-2015-308850.
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Banerjee, A;
Allan, V;
Denaxas, S;
Shah, A;
Kotecha, D;
Lambiase, PD;
Jacob, J;
... Hemingway, H; + view all
(2019)
Subtypes of atrial fibrillation with concomitant valvular heart disease derived from electronic health records: phenotypes, population prevalence, trends and prognosis.
EP Europace
10.1093/europace/euz220.
(In press).
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Barrett, JE;
Cakiroglu, A;
Bunce, C;
Shah, A;
Denaxas, S;
(2020)
Selective recruitment designs for improving observational studies using electronic health records.
Statistics in Medicine
10.1002/sim.8556.
(In press).
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Bell, S;
Daskalopoulou, M;
Rapsomaniki, E;
George, J;
Britton, A;
Bobak, M;
Casas, JP;
... Hemingway, H; + view all
(2017)
Association between clinically recorded alcohol consumption and initial presentation of 12 cardiovascular diseases: population based cohort study using linked health records.
the BMJ
, 356
, Article j909. 10.1136/bmj.j909.
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Chen, Yang;
Hosin, Ali A;
George, Marc J;
Asselbergs, Folkert W;
Shah, Anoop D;
(2023)
Digital technology and patient and public involvement (PPI) in routine care and clinical research-A pilot study.
PLoS One
, 18
(2)
, Article e0278260. 10.1371/journal.pone.0278260.
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Denaxas, S;
Gonzalez-Izquierdo, A;
Direk, K;
Fitzpatrick, NK;
Fatemifar, G;
Banerjee, A;
Dobson, RJB;
... Hemingway, H; + view all
(2019)
UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER.
Journal of the American Medical Informatics Association
, 26
(12)
pp. 1545-1559.
10.1093/jamia/ocz105.
(In press).
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Denaxas, S;
Shah, AD;
Mateen, BA;
Kuan, V;
Quint, JK;
Fitzpatrick, N;
Torralbo, A;
... Hemingway, H; + view all
(2020)
A semi-supervised approach for rapidly creating clinical biomarker phenotypes in the UK Biobank using different primary care EHR and clinical terminology systems.
JAMIA Open
, Article ooaa047. 10.1093/jamiaopen/ooaa047.
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Denaxas, SC;
George, J;
Herrett, E;
Shah, AD;
Kalra, D;
Hingorani, AD;
Kivimaki, M;
... Hemingway, H; + view all
(2012)
Data Resource Profile: Cardiovascular disease research using linked bespoke studies and electronic health records (CALIBER).
International Journal of Epidemiology
, 41
(6)
pp. 1625-1638.
10.1093/ije/dys188.
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Elkheder, Musaab;
Gonzalez-Izquierdo, Arturo;
Qummer Ul Arfeen, Muhammad;
Kuan, Valerie;
Lumbers, R Thomas;
Denaxas, Spiros;
Shah, Anoop D;
(2022)
Translating and evaluating historic phenotyping algorithms using SNOMED CT.
Journal of the American Medical Informatics Association
10.1093/jamia/ocac158.
(In press).
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Fitzpatrick, Natalie K;
Dobson, Richard;
Roberts, Angus;
Jones, Kerina;
Shah, Anoop D;
Nenadic, Goran;
Ford, Elizabeth;
(2023)
Understanding Views Around the Creation of a Consented, Donated Databank of Clinical Free Text to Develop and Train Natural Language Processing Models for Research: Focus Group Interviews With Stakeholders.
JMIR Medical Informatics
, 11
, Article e45534. 10.2196/45534.
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George, J;
Mathur, R;
Shah, AD;
Pujades-Rodriguez, M;
Denaxas, S;
Smeeth, L;
Timmis, A;
(2017)
Ethnicity and the first diagnosis of a wide range of cardiovascular diseases: Associations in a linked electronic health record cohort of 1 million patients.
PLoS ONE
, 12
(6)
, Article e0178945. 10.1371/journal.pone.0178945.
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George, J;
Rapsomaniki, E;
Pujades-Rodriguez, M;
Shah, AD;
Denaxas, S;
Herrett, E;
Smeeth, L;
... Hemingway, H; + view all
(2015)
How Does Cardiovascular Disease First Present in Women and Men? Incidence of 12 Cardiovascular Diseases in a Contemporary Cohort of 1,937,360 People.
Circulation
, 132
(14)
pp. 1320-1328.
10.1161/CIRCULATIONAHA.114.013797.
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Gho, JMIH;
Schmidt, AF;
Pasea, L;
Koudstaal, S;
Pujades-Rodriguez, M;
Denaxas, S;
Shah, AD;
... Asselbergs, FW; + view all
(2018)
An electronic health records cohort study on heart failure following myocardial infarction in England: incidence and predictors.
BMJ Open
, 8
(3)
, Article e018331. 10.1136/bmjopen-2017-018331.
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Gordillo-Marañón, María;
Schmidt, Amand F;
Warwick, Alasdair;
Tomlinson, Chris;
Ytsma, Cai;
Engmann, Jorgen;
Torralbo, Ana;
... Finan, Chris; + view all
(2024)
Disease coverage of human genome-wide association studies and pharmaceutical research and development.
Communications Medicine
, 4
, Article 195. 10.1038/s43856-024-00625-5.
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Hemingway, H;
Feder, GS;
Fitzpatrick, NK;
Denaxas, S;
Shah, AD;
Timmis, AD;
(2017)
Using nationwide 'big data' from linked electronic health records to help improve outcomes in cardiovascular diseases: 33 studies using methods from epidemiology, informatics, economics and social science in the ClinicAl disease research using LInked Bespoke studies and Electronic health Records (CALIBER) programme.
Programme Grants for Applied Research
, 5
(4)
xxxvi, 1-329.
10.3310/pgfar05040.
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Kallis, Constantinos;
Kaura, Amit;
Samuel, Nathan A;
Mulla, Abdulrahim;
Glampson, Ben;
O'Gallagher, Kevin;
Davies, Jim;
... Quint, Jennifer K; + view all
(2023)
The Relationship Between Cardiac Troponin in People Hospitalised for Exacerbation of COPD and Major Adverse Cardiac Events (MACE) and COPD Readmissions.
International Journal of Chronic Obstructive Pulmonary Disease
, 18
pp. 2405-2416.
10.2147/COPD.S432166.
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Kaura, Amit;
Hartley, Adam;
Panoulas, Vasileios;
Glampson, Ben;
Shah, Anoop SV;
Davies, Jim D;
Mulla, Abdulrahim R;
... Khamis, Ramzi; + view all
(2022)
Mortality risk prediction of high-sensitivity C-reactive protein in suspected acute coronary syndrome: A cohort study.
PLoS Medicine
, 19
(2)
, Article e1003911. 10.1371/journal.pmed.1003911.
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Kaura, A;
Arnold, AD;
Panoulas, V;
Glampson, B;
Davies, J;
Mulla, A;
Woods, K;
... Mayet, J; + view all
(2020)
Prognostic significance of troponin level in 3121 patients presenting with atrial fibrillation (The NIHR Health Informatics Collaborative TROP‐AF study).
Journal of the American Heart Association
, 9
(7)
, Article e013684. 10.1161/JAHA.119.013684.
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Kaura, A;
Panoulas, V;
Glampson, B;
Davies, J;
Mulla, A;
Woods, K;
Omigie, J;
... Mayet, J; + view all
(2019)
Association of troponin level and age with mortality in 250 000 patients: cohort study across five UK acute care centres.
The British Medical Journal
, 367
(8223)
, Article l6055. 10.1136/bmj.l6055.
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Kaura, A;
Sterne, JAC;
Trickey, A;
Abbott, S;
Mulla, A;
Glampson, B;
Panoulas, V;
... Mayet, J; + view all
(2020)
Invasive versus non-invasive management of older patients with non-ST elevation myocardial infarction (SENIOR-NSTEMI): a cohort study based on routine clinical data.
The Lancet
, 396
(10251)
pp. 623-634.
10.1016/S0140-6736(20)30930-2.
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Koudstaal, S;
Pujades-Rodriguez, M;
Denaxas, S;
Gho, JM;
Shah, AD;
Yu, N;
Patel, RS;
... Hemingway, H; + view all
(2016)
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 people.
European Journal of Heart Failure
10.1002/ejhf.709.
(In press).
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Kraljevic, Z;
Searle, T;
Shek, A;
Roguski, L;
Noor, K;
Bean, D;
Mascio, A;
... Dobson, RJB; + view all
(2021)
Multi-domain clinical natural language processing with MedCAT: The Medical Concept Annotation Toolkit.
Artificial Intelligence in Medicine
, 117
, Article 102083. 10.1016/j.artmed.2021.102083.
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Lai, AG;
Chang, WH;
Parisinos, CA;
Katsoulis, M;
Blackburn, RM;
Shah, AD;
Nguyen, V;
... Hemingway, H; + view all
(2021)
An informatics consult approach for generating clinical evidence for treatment decisions.
BMC Medical Informatics and Decision Making
, 21
(1)
, Article 281. 10.1186/s12911-021-01638-z.
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Li, Q;
Li, X;
Wang, J;
Liu, H;
Kwong, JS-W;
Chen, H;
Li, L;
... Li, S; + view all
(2019)
Diagnosis and treatment for hyperuricemia and gout: a systematic review of clinical practice guidelines and consensus statements.
BMJ Open
, 9
(8)
, Article e026677. 10.1136/bmjopen-2018-026677.
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Li, Q;
Xiao, Y;
Shah, AD;
Li, S;
(2019)
Visual Inspection of Chromatograms Assists Interpretation of HbA(1c): A Case Report. Diabetes Care 2018;41:1829-1830.
[Letter].
Diabetes Care
, 42
(1)
E10-E10.
10.2337/dci18-0038.
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Li, Q;
Xiao, Y;
Shah, AD;
Li, S;
(2018)
Visual Inspection of Chromatograms Assists Interpretation of HbA(1c): A Case Report.
Diabetes Care
, 41
(8)
pp. 1829-1830.
10.2337/dc18-0378.
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Maclean, Rory;
Chen, Yang;
Lumbers, R Thomas;
Shah, Anoop Dinesh;
(2025)
Mineralocorticoid receptor antagonist (MRA) use in UK heart failure care: a national primary care cohort study.
Heart
10.1136/heartjnl-2024-325132.
(In press).
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Morley, KI;
Wallace, J;
Denaxas, SC;
Hunter, RJ;
Patel, RS;
Perel, P;
Shah, AD;
... Hemingway, H; + view all
(2014)
Defining disease phenotypes using national linked electronic health records: a case study of atrial fibrillation.
PLoS One
, 9
(11)
, Article e110900. 10.1371/journal.pone.0110900.
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Noor, Kawsar;
Roguski, Lukasz;
Bai, Xi;
Handy, Alex;
Klapaukh, Roman;
Folarin, Amos;
Romao, Luis;
... Dobson, Richard Jb; + view all
(2022)
Deployment of a Free-Text Analytics Platform at a UK National Health Service Research Hospital: CogStack at University College London Hospitals.
JMIR Med Inform
, 10
(8)
, Article e38122. 10.2196/38122.
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Pasea, L;
Chung, S-C;
Pujades-Rodriguez, M;
Shah, AD;
Alvarez-Madrazo, S;
Allan, V;
Teo, JT;
... Hemingway, H; + view all
(2019)
Bleeding in cardiac patients prescribed antithrombotic drugs: electronic health record phenotyping algorithms, incidence, trends and prognosis.
BMC Medicine
, 17
, Article 206. 10.1186/s12916-019-1438-y.
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Poulos, J;
Zhu, L;
Shah, AD;
(2021)
Data gaps in electronic health record (EHR) systems: An audit of problem list completeness during the COVID-19 pandemic.
International Journal of Medical Informatics
, 150
, Article 104452. 10.1016/j.ijmedinf.2021.104452.
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Pujades-Rodriguez, M;
George, J;
Shah, AD;
Rapsomaniki, E;
Denaxas, S;
West, R;
Smeeth, L;
... Hemingway, H; + view all
(2015)
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 for risk prediction.
International Journal of Epidemiology
, 44
(1)
129 - 141.
10.1093/ije/dyu218.
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Pujades-Rodriguez, M;
Timmis, A;
Stogiannis, D;
Rapsomaniki, E;
Denaxas, S;
Shah, A;
Feder, G;
... Hemingway, H; + view all
(2014)
Socioeconomic deprivation and the incidence of 12 cardiovascular diseases in 1.9 million women and men: implications for risk prediction and prevention.
PLoS One
, 9
(8)
, Article e104671. 10.1371/journal.pone.0104671.
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Rapsomaniki, E;
Shah, A;
Perel, P;
Denaxas, S;
George, J;
Nicholas, O;
Udumyan, R;
... Hemingway, H; + view all
(2014)
Prognostic models for stable coronary artery disease based on electronic health record cohort of 102 023 patients.
Eur Heart J
, 35
(13)
pp. 844-852.
10.1093/eurheartj/eht533.
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Rapsomaniki, E;
Timmis, A;
George, J;
Pujades-Rodriguez, M;
Denaxas, S;
Shah, AD;
Hingorani, A;
... Hemingway, H; + view all
(2015)
Blood pressure and incidence of twelve cardiovascular diseases; lifetime risks, healthy life-years lost, and age-specific associations in 1.25 million people.
The Lancet
, 383
(9932)
pp. 1899-1911.
10.1016/S0140-6736(14)60685-1.
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Rapsomaniki, E;
Timmis, A;
George, J;
Pujades-Rodriguez, M;
Shah, AD;
Denaxas, S;
White, IR;
... Hemingway, H; + view all
(2014)
Blood pressure and incidence of twelve cardiovascular diseases: lifetime risks, healthy life-years lost, and age-specific associations in 1.25 million people.
Lancet
, 383
(9932)
pp. 1899-1911.
10.1016/S0140-6736(14)60685-1.
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Ryan, David K;
Maclean, Rory H;
Balston, Alfred;
Scourfield, Andrew;
Shah, Anoop D;
Ross, Jack;
(2024)
Artificial intelligence and machine learning for clinical pharmacology.
British Journal of Clinical Pharmacology
, 90
(3)
pp. 629-639.
10.1111/bcp.15930.
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Shah, AD;
MacCallum, NS;
Harris, S;
Brealey, DA;
Palmer, E;
Hetherington, J;
Shi, S;
... Singer, M; + view all
(2021)
Descriptors of Sepsis Using the Sepsis-3 Criteria: A Cohort Study in Critical Care Units Within the U.K. National Institute for Health Research Critical Care Health Informatics Collaborative.
Critical Care Medicine
, 49
(11)
pp. 1883-1894.
10.1097/CCM.0000000000005169.
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Shah, AD;
Subramanian, A;
Lewis, J;
Dhalla, S;
Ford, E;
Haroon, S;
Kuan, V;
(2023)
Long Covid symptoms and diagnosis in primary care: A cohort study using structured and unstructured data in The Health Improvement Network primary care database.
PLoS ONE
, 18
(9)
, Article e0290583. 10.1371/journal.pone.0290583.
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Shah, AD;
(2016)
Cardiac troponins and prediction of coronary artery disease risk.
[Editorial comment].
Heart
, 102
(15)
pp. 1153-1154.
10.1136/heartjnl-2015-309241.
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Shah, AD;
Bailey, E;
Williams, T;
Denaxas, S;
Dobson, R;
Hemingway, H;
(2019)
Natural language processing for disease phenotyping in UK primary care records for research: a pilot study in myocardial infarction and death.
Journal of Biomedical Semantics
, 10
, Article 20. 10.1186/s13326-019-0214-4.
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Shah, AD;
Bartlett, JW;
Carpenter, J;
Nicholas, O;
Hemingway, H;
(2014)
Comparison of Random Forest and Parametric Imputation Models for Imputing Missing Data Using MICE: A CALIBER Study.
AMERICAN JOURNAL OF EPIDEMIOLOGY
, 179
(6)
764 - 774.
10.1093/aje/kwt312.
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Shah, AD;
Denaxas, S;
Nicholas, O;
Hingorani, AD;
Hemingway, H;
(2017)
Neutrophil Counts and Initial Presentation of 12 Cardiovascular Diseases: A CALIBER Cohort Study.
Journal of the American College of Cardiology
, 69
(9)
pp. 1160-1169.
10.1016/j.jacc.2016.12.022.
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Shah, AD;
Denaxas, S;
Nicholas, O;
Hingorani, AD;
Hemingway, H;
(2016)
Low eosinophil and low lymphocyte counts and the incidence of 12 cardiovascular diseases: a CALIBER cohort study.
Open Heart
, 3
(2)
, Article e000477. 10.1136/openhrt-2016-000477.
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Shah, AD;
Langenberg, C;
Rapsomaniki, E;
Denaxas, S;
Pujades Rodriguez, M;
Gale, CP;
Deanfield, J;
... Hemingway, H; + view all
(2015)
Type 2 diabetes and incidence of a wide range of cardiovascular diseases: a cohort study in 1-9 million people.
Lancet Diabetes and Endocrinology
, 3
(2)
pp. 105-113.
10.1016/S2213-8587(14)70219-0.
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Shah, AD;
Nicholas, O;
Timmis, AD;
Feder, G;
Abrams, KR;
Chen, RL;
Hingorani, AD;
(2011)
Threshold Haemoglobin Levels and the Prognosis of Stable Coronary Disease: Two New Cohorts and a Systematic Review and Meta-Analysis.
PLoS Medicine
, 8
(5)
, Article e1000439. 10.1371/journal.pmed.1000439.
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Shah, AD;
Quinn, NJ;
Chaudhry, A;
Sullivan, R;
Costello, J;
O'Riordan, D;
Hoogewerf, J;
... Williams, JG; + view all
(2019)
Recording problems and diagnoses in clinical care: developing guidance for healthcare professionals and system designers.
BMJ Health & Care Informatics
, 26
(1)
, Article e100106. 10.1136/bmjhci-2019-100106.
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Shah, AD;
Thornley, S;
Chung, SC;
Denaxas, S;
Jackson, R;
Hemingway, H;
(2017)
White cell count in the normal range and short-term and long-term mortality: international comparisons of electronic health record cohorts in England and New Zealand.
BMJ Open
, 7
(2)
, Article e013100. 10.1136/bmjopen-2016-013100.
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Steele, AJ;
Denaxas, SC;
Shah, AD;
Hemingway, H;
Luscombe, NM;
(2018)
Machine learning models in electronic health records can outperform conventional survival models for predicting patient mortality in coronary artery disease.
PLoS ONE
, 13
(8)
, Article e0202344. 10.1371/journal.pone.0202344.
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Subramanian, Anuradhaa;
Nirantharakumar, Krishnarajah;
Hughes, Sarah;
Myles, Puja;
Williams, Tim;
Gokhale, Krishna M;
Taverner, Tom;
... Haroon, Shamil; + view all
(2022)
Symptoms and risk factors for long COVID in non-hospitalized adults.
Nature Medicine
10.1038/s41591-022-01909-w.
(In press).
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Tissot, HC;
Shah, AD;
Brealey, D;
Harris, S;
Agbakoba, R;
Folarin, A;
Romao, L;
... Asselbergs, FW; + view all
(2020)
Natural language processing for mimicking clinical trial recruitment in critical care: a semi-automated simulation based on the LeoPARDS trial.
IEEE Journal of Biomedical and Health Informatics
10.1109/JBHI.2020.2977925.
(In press).
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Uijl, A;
Vaartjes, I;
Denaxas, S;
Hemingway, H;
Shah, A;
Cleland, J;
Grobbee, D;
... Koudstaal, S; + view all
(2021)
Temporal trends in heart failure medication prescription in a population-based cohort study.
BMJ Open
, 11
(3)
, Article e043290. 10.1136/bmjopen-2020-043290.
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Velupillai, S;
Suominen, H;
Liakata, M;
Roberts, A;
Shah, AD;
Morley, K;
Osborn, D;
... Dutta, R; + view all
(2018)
Using Clinical Natural Language Processing for Health Outcomes Research: Overview and Actionable Suggestions for Future Advances.
Journal of Biomedical Informatics
, 88
pp. 11-19.
10.1016/j.jbi.2018.10.005.
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Walker, S;
Asaria, M;
Manca, A;
Palmer, S;
Gale, CP;
Shah, AD;
Abrams, KR;
... Sculpher, M; + view all
(2016)
Long-term healthcare use and costs in patients with stable coronary artery disease: a population-based cohort using linked health records (CALIBER).
European Heart Journal
, 2
(2)
pp. 125-140.
10.1093/ehjqcco/qcw003.
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Wang, Z;
Shah, AD;
Tate, AR;
Denaxas, S;
Shawe-Taylor, J;
Hemingway, H;
(2012)
Extracting diagnoses and investigation results from unstructured text in electronic health records by semi-supervised machine learning.
PLOS One
, 7
(1)
, Article e30412. 10.1371/journal.pone.0030412.
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Wu, Honghan;
Wang, Minhong;
Wu, Jinge;
Francis, Farah;
Chang, Yun-Hsuan;
Shavick, Alex;
Dong, Hang;
... Dobson, Richard JB; + view all
(2022)
A survey on clinical natural language processing in the United Kingdom from 2007 to 2022.
npj Digital Medicine
, 5
, Article 186. 10.1038/s41746-022-00730-6.
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Proceedings paper
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Kraljevic, Z;
Shek, A;
Yeung, JA;
Sheldon, EJ;
Shuaib, H;
Al-Agil, M;
Bai, X;
... Teo, J; + view all
(2023)
Validating Transformers for Redaction of Text from Electronic Health Records in Real-World Healthcare.
In:
Proceedings - 2023 IEEE 11th International Conference on Healthcare Informatics, ICHI 2023.
(pp. pp. 544-549).
IEEE: Houston, TX, USA.
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Thesis
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Shah, AD;
(2015)
Using electronic health records to investigate blood biomarkers and onset of cardiovascular diseases: example of differential white cell count.
Doctoral thesis , UCL (University College London).
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