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Cathie Sudlow

Health Data Research UK

SCHOLARLY PAPERS

8

DOWNLOADS

813

TOTAL CITATIONS

2

Scholarly Papers (8)

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1.

Robustly Measuring Multiple Long-Term Health Conditions Using Disparate Linked Datasets in UK Biobank

Number of pages: 26 Posted: 13 Jun 2024
Regina Prigge, Kelly J. Fleetwood, Caroline A. Jackson, Stewart Mercer, Paul AT Kelly, Cathie Sudlow, John D. Norrie, Daniel R. Morales, Daniel J. Smith and Bruce Guthrie
University of Edinburgh, University of Edinburgh, University of Edinburgh, University of Edinburgh - Usher Institute of Population Health Sciences and Informatics, Edinburgh Study Advisory Board, Health Data Research UK, University of Edinburgh, University of Dundee, University of Edinburgh and University of Edinburgh - Advanced Care Research Centre
Downloads 150 (494,203)

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Multimorbidity, Multiple long-term condtions, Electronic health records, UK Biobank, Primary care, Health conditions, Phenotype

2.

Use of Sodium Valproate and Other Anti-Seizure Medications in England and Wales During the COVID-19 Pandemic: A Population-Level Analysis of 60 Million Individuals

Number of pages: 56 Posted: 23 Aug 2023
Caroline Dale, Rohan Takhar, Yat Yi Fan, Fatemeh Torabi, Samuel Kim, Andrew Lambarth, Ravi Shankar, Christopher Tomlinson, Tim Wilkinson, Tanja Mueller, Amanj Kurdi, Mark Ashworth, Mamas Mamas, Kamlesh Khunti, Ashley Akbari, Andrew Morris, Munir Pirmohamed, Anthony Marson, David Williams, Cathie Sudlow, Reecha Sofat and CVD-COVID-UK Consortium
University College London - Institute of Health Informatics, University of Liverpool, University of Liverpool, Swansea University - Population Data Science, Government of the United Kingdom - Royal Free London NHS Foundation Trust, University College London - University College London Hospitals NHS Foundation Trust, University College London, University College London - Institute of Health Informatics, University of Edinburgh, University of Strathclyde, University of Strathclyde - Strathclyde Institute of Pharmacy and Biomedical Science, King’s College London - ESRC Centre for Society and Mental Health, Keele University - Research Institute for Primary Care and Health Sciences, University of Leicester - Leicester Diabetes Centre, Swansea University - Population Data Science, University of Edinburgh - Edinburgh Medical School, University of Liverpool, The Walton Centre NHS Foundation Trust, affiliation not provided to SSRN, Health Data Research UK, University of Liverpool - Department of Pharmacology and Therapeutics and Independent
Downloads 145 (508,926)
Citation 1

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Sodium valproate, epilepsy, pregnancy, electronic health records

3.

The Impact of the COVID-19 Pandemic on Cardiovascular Risk Factors and Events in England: A Population-Based Cohort Study

Number of pages: 24 Posted: 02 Oct 2024
Benjamin BD Bray, Daniel O'Connell, Danielle E. Robinson, Hannah R. Whittaker, John Nolan, Thomas Bolton, Elizabeth I. Adesanya, Alison Barnett, Amitava Banerjee, Julia A. Critchley, Spiros Denaxas, Kamlesh Khunti, Evan Kontopantelis, Vahe Nafilyan, Tom Porter, Jennifer Quint, Reecha Sofat, Christopher Tomlinson, William N. Whiteley, Alasdair Wood, Angela Wood, Jonathan Pearson-Stuttard, Cathie Sudlow and CVD-COVID-UK Consortium
Lane Clark & Peacock LLP - Health Analytics, British Heart Foundation, Lane Clark & Peacock LLP - Health Analytics, Imperial College London - National Heart and Lung Institute, Health Data Research UK - BHF Data Science Centre, Health Data Research UK - BHF Data Science Centre, Lane Clark & Peacock LLP, Office for Health Improvement and Disparities, University College London - Institute of Health Informatics, University of London - Population Health Research Institute, University College London - Institute of Health Informatics, University of Leicester - Leicester Diabetes Centre, The University of Manchester, Government of the United Kingdom - Health Analysis and Life Events Division, Lane Clark & Peacock LLP, Imperial College London - National Heart and Lung Institute, University of Liverpool - Department of Pharmacology and Therapeutics, University College London - Institute of Health Informatics, University of Edinburgh, Office for Health Improvement and Disparities, University of Cambridge, Lane Clark & Peacock LLP, Health Data Research UK and Independent
Downloads 142 (518,102)

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Cardiovascular, Pandemic, Covid-19, Hypertension, Atrial fibrillation, Stroke, Myocardial infarction

4.

Association of COVID-19 and Influenza Vaccinations and Cardiovascular Pharmacotherapy with Hospitalisation and Mortality in People with COVID-19 and Long COVID: 2-Year Follow-Up of Over 17 Million People in England

Number of pages: 33 Posted: 14 Nov 2023
Ashkan Dashtban, Mehrdad A. Mizani, Laura Pasea, Christopher Tomlinson, Yi Mu, Nazrul Islam, Sarah Rafferty, Charlotte Warren-Gash, Spiros Denaxas, Kim Horstmanshof, Evan Kontopantelis, Steffen E. Petersen, Cathie Sudlow, Kamlesh Khunti, Amitava Banerjee and CVD-COVID-UK Consortium
University College London - Institute of Health Informatics, University College London - Institute of Health Informatics, University College London - Institute of Health Informatics, University College London - Institute of Health Informatics, University College London, University of Southampton, Government of the United Kingdom - Office for National Statistics, London School of Hygiene & Tropical Medicine - Faculty of Epidemiology and Population Health, University College London - Institute of Health Informatics, University College London, The University of Manchester, Government of the United Kingdom - Barts Health NHS Trust, Health Data Research UK, University of Leicester - Leicester Diabetes Centre, University College London - Institute of Health Informatics and Independent
Downloads 110 (640,165)

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COVID-19, Long COVID, cardiovascular disease, vaccination, high-risk

5.

Depression and Multimorbidity: A Cohort Study of Physical Health Condition Accrual in UK Biobank

Number of pages: 23 Posted: 05 Aug 2024
Kelly J. Fleetwood, Bruce Guthrie, Caroline A. Jackson, Paul AT Kelly, Stewart Mercer, Daniel R. Morales, John Norrie, Daniel J. Smith, Cathie Sudlow and Regina Prigge
University of Edinburgh, University of Edinburgh - Advanced Care Research Centre, University of Edinburgh, Edinburgh Study Advisory Board, University of Edinburgh - Usher Institute of Population Health Sciences and Informatics, University of Dundee, University of Edinburgh - Edinburgh Clinical Trials Unit (ECTU), University of Edinburgh, Health Data Research UK and University of Edinburgh
Downloads 106 (659,652)

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depression, multimorbidity

6.

The Impact of the COVID-19 Pandemic on the Measurement of Routine Cardiometabolic Disease Risk Factors in Primary Care in the Population of England (57 Million People)

Number of pages: 20 Posted: 01 Dec 2023
Frederick Ho, Caroline Dale, Ewan Pearson, Jonathan Valabhji, Christian Delles, Paul Welsh, Shinya Nakada, Daniel Mackay, Jill Pell, Christopher Tomlinson, Steffen E. Petersen, Benjamin BD Bray, Mark Ashworth, Kazem Rahimi, Mamas Mamas, Julian Halcox, Cathie Sudlow, Reecha Sofat, Naveed Sattar and CVD-COVID-UK Consortium
University of Glasgow - Institute of Health and Wellbeing, University College London - Institute of Health Informatics, Health Data Research UK, Imperial College London, University of Glasgow, University of Glasgow - Institute of Cardiovascular and Medical Sciences, University of Glasgow, University of Glasgow, University of Glasgow - Institute of Health and Wellbeing, University College London - Institute of Health Informatics, Government of the United Kingdom - Barts Health NHS Trust, Lane Clark & Peacock LLP - Health Analytics, King’s College London - ESRC Centre for Society and Mental Health, Deep Medicine, NDWRH, University of Oxford, Keele University, Swansea University, Health Data Research UK, University of Liverpool - Department of Pharmacology and Therapeutics, University of Glasgow - Institute of Cardiovascular and Medical Sciences and Independent
Downloads 95 (715,072)
Citation 1

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public health, primary care, risk factor, Covid-19

7.

The Metastatic Fracture Prediction (Met Frap) Score: A Simple Method for Predicting Fractures in Long Bone Metastases at 3-12 Months

Number of pages: 37 Posted: 14 Nov 2024
Samantha Downie, Calum Sreenan, Alison Stillie, Matthew Moran, Pankaj Pankaj, Cathie Sudlow, Robert U. Ashford and Hamish Simpson
Ninewells Hospital and Medical School, affiliation not provided to SSRN, NHS Lothian, NHS Lothian, University of Edinburgh, Health Data Research UK, University of Edinburgh and University of Edinburgh
Downloads 40 (1,183,237)

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Pathological fracture, metastatic fracture, Bone Metastasis, fracture prediction, Mirels

8.

Blood-Based Epigenome-Wide Analyses of Chronic Low-Grade Inflammation Across Diverse Population Cohorts

Number of pages: 29 Posted: 09 Nov 2023
Robert F. Hillary, Hong Kiat Ng, Daniel L. McCartney, Hannah R. Elliott, Rosie M. Walker, Archie Campbell, Felicia Huang, Kenan Direk, Paul Welsh, Naveed Sattar, Janie Corley, Caroline Hayward, Andrew McIntosh, Cathie Sudlow, Kathryn Evans, Simon R. Cox, John Chambers, Marie Loh, Caroline Relton, Riccardo E. Marioni, Paul D. Yousefi and Matthew Suderman
University of Edinburgh, Nanyang Technological University (NTU) - Lee Kong Chian School of Medicine, University of Edinburgh, University of Bristol, University of Exeter, University of Edinburgh, University College London, Imperial College London, University of Glasgow - Institute of Cardiovascular and Medical Sciences, University of Glasgow - Institute of Cardiovascular and Medical Sciences, University of Edinburgh, University of Edinburgh, Royal Edinburgh Hospital - Andrew MacIntosh Division of Psychiatry, Health Data Research UK, University of Edinburgh, University of Edinburgh, Nanyang Technological University (NTU) - Lee Kong Chian School of Medicine, Nanyang Technological University (NTU) - Lee Kong Chian School of Medicine, University of Bristol, University of Edinburgh, University of Bristol and University of Bristol
Downloads 25 (1,385,945)

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DNA methylation, C-reactive protein, chronic inflammation, Generation Scotland, ALSPAC, HELIOS, SABRE, Lothian Birth Cohorts, feature selection, prediction