Bibliography

Research using CPRD data has informed drug safety guidance and clinical practice and resulted in over 2,700 peer-reviewed publications. The CPRD bibliography is updated on a monthly basis (last updated 4 May 2021) and papers are listed below and in the PDF below.

If you have published papers using CPRD data which are not included in this list, please contact us at enquiries@cprd.com so that we can update the bibliography.

Download:

 (PDF, 5MB, 226 pages) 

This work uses data provided by patients and collected by the NHS as part of their care and support. CPRD encourages researchers to use this citation in all publications using CPRD data. Find out more about acknowledging the use of patient data at the Understanding Patient Data website. 

 

 

Export 25 results:
Author Title Type [ Year(Asc)]
Filters: Author is Denaxas, S.  [Clear All Filters]
2021
V. Kuan, Fraser, H. C., Hingorani, M., Denaxas, S., Gonzalez-Izquierdo, A., Direk, K., Nitsch, D., Mathur, R., Parisinos, C. A., Lumbers, R. T., Sofat, R., Wong, I. C. K., Casas, J. P., Thornton, J. M., Hemingway, H., Partridge, L., and Hingorani, A. D., “Data-driven identification of ageing-related diseases from electronic health records”, Sci Rep, vol. 11, p. 2938, 2021.
A. Banerjee, Chen, S., Pasea, L., Lai, A. G., Katsoulis, M., Denaxas, S., Nafilyan, V., Williams, B., Wong, W. K., Bakhai, A., Khunti, K., Pillay, D., Noursadeghi, M., Wu, H., Pareek, N., Bromage, D., McDonagh, T. A., Byrne, J., Teo, J. T. H., Shah, A. M., Humberstone, B., Tang, L. V., Shah, A. S. V., Rubboli, A., Guo, Y., Hu, Y., Sudlow, C. L. M., Lip, G. Y. H., and Hemingway, H., “Excess deaths in people with cardiovascular diseases during the COVID-19 pandemic”, Eur J Prev Cardiol, 2021.
2020
A. G. Lai, Pasea, L., Banerjee, A., Hall, G., Denaxas, S., Chang, W. H., Katsoulis, M., Williams, B., Pillay, D., Noursadeghi, M., Linch, D., Hughes, D., Forster, M. D., Turnbull, C., Fitzpatrick, N. K., Boyd, K., Foster, G. R., Enver, T., Nafilyan, V., Humberstone, B., Neal, R. D., Cooper, M., Jones, M., Pritchard-Jones, K., Sullivan, R., Davie, C., Lawler, M., and Hemingway, H., “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 deaths and a population-based cohort study”, BMJ Open, vol. 10, p. e043828, 2020.
A. Banerjee, Pasea, L., Harris, S., Gonzalez-Izquierdo, A., Torralbo, A., Shallcross, L., Noursadeghi, M., Pillay, D., Sebire, N., Holmes, C., Pagel, C., Wong, W. K., Langenberg, C., Williams, B., Denaxas, S., and Hemingway, H., “Estimating excess 1-year mortality associated with the COVID-19 pandemic according to underlying conditions and age: a population-based cohort study”, Lancet, vol. 395, pp. 1715-1725, 2020.
D. Lewer, Padmanathan, P., M. Arfeen, Q. Ul, Denaxas, S., Forbes, H., Gonzalez-Izquierdo, A., and Hickman, M., “Healthcare use by people who use illicit opioids (HUPIO): development of a cohort based on electronic primary care records in England”, Wellcome Open Res, vol. 5, p. 282, 2020.
M. Katsoulis, Pasea, L., Lai, A. G., Dobson, R. J. B., Denaxas, S., Hemingway, H., and Banerjee, A., “Obesity during the COVID-19 pandemic: both cause of high risk and potential effect of lockdown? A population-based electronic health record study”, Public Health, vol. 191, pp. 41-47, 2020.
P. Planell-Morell, Bajekal, M., Denaxas, S., Raine, R., and Alexander, D. C., “Trajectories of Disease Accumulation Using Electronic Health Records”, Stud Health Technol Inform, vol. 270, pp. 469-473, 2020.
2019
M. Rafiq, Hayward, A., Warren-Gash, C., Denaxas, S., Gonzalez-Izquierdo, A., Lyratzopoulos, G., and Thomas, S., “Allergic disease, corticosteroid use and risk of Hodgkin's lymphoma: A UK Nationwide case-control study”, J Allergy Clin Immunol, 2019.
C. Hopkins, Williamson, E., Morris, S., Clarke, C. S., Thomas, M., Evans, H., Little, P., Lund, V. J., Blackshaw, H., Schilder, A., Philpott, C., Carpenter, J., and Denaxas, S., “Antibiotic usage in chronic rhinosinusitis: analysis of national primary care electronic health records”, Rhinology, 2019.
B. A. Dickerman, Garcia-Albeniz, X., Logan, R. W., Denaxas, S., and Hernan, M. A., “Avoidable flaws in observational analyses: an application to statins and cancer”, Nat Med, 2019.
V. Kuan, Denaxas, S., A Izquierdo, G. -, Direk, K., Bhatti, O., Husain, S., Sutaria, S., Hingorani, M., Nitsch, D., Parisinos, C. A., Lumbers, T., Mathur, R., Sofat, R., Casas, J. P., Wong, I. C. K., Hemingway, H., and Hingorani, A. D., “A chronological map of 308 physical and mental health conditions from 4 million individuals in the English National Health Service”, The Lancet Digital Health, 2019.
M. Pikoula, Quint, J. K., Nissen, F., Hemingway, H., Smeeth, L., and Denaxas, S., “Identifying clinically important COPD sub-types using data-driven approaches in primary care population based electronic health records”, BMC Med Inform Decis Mak, vol. 19, p. 86, 2019.
A. D. Shah, Bailey, E., Williams, T., Denaxas, S., Dobson, R., and Hemingway, H., “Natural language processing for disease phenotyping in UK primary care records for research: a pilot study in myocardial infarction and death”, J Biomed Semantics, vol. 10, p. 20, 2019.
A. Uijl, Koudstaal, S., Direk, K., Denaxas, S., Groenwold, R. H. H., Banerjee, A., Hoes, A. W., Hemingway, H., and Asselbergs, F. W., “Risk factors for incident heart failure in age- and sex-specific strata: a population-based cohort using linked electronic health records”, Eur J Heart Fail, 2019.
E. Williamson, Denaxas, S., Morris, S., Clarke, C. S., Thomas, M., Evans, H., Direk, K., Gonzalez-Izquierdo, A., Little, P., Lund, V., Blackshaw, H., Schilder, A., Philpott, C., Hopkins, C., and Carpenter, J., “Risk of mortality and cardiovascular events following macrolide prescription in chronic rhinosinusitis patients: a cohort study using linked primary care electronic health records”, Rhinology, 2019.
M. Rafiq, Hayward, A., Warren-Gash, C., Denaxas, S., Gonzalez-Izquierdo, A., Lyratzopoulos, G., and Thomas, S., “Socioeconomic deprivation and regional variation in Hodgkin's lymphoma incidence in the UK: a population-based cohort study of 10 million individuals”, BMJ Open, vol. 9, p. e029228, 2019.
A. Banerjee, Allan, V., Denaxas, S., Shah, A., Kotecha, D., Lambiase, P. D., Jacob, J., Lund, L. H., and Hemingway, H., “Subtypes of atrial fibrillation with concomitant valvular heart disease derived from electronic health records: phenotypes, population prevalence, trends and prognosis”, Europace, 2019.
S. Denaxas, Gonzalez-Izquierdo, A., Direk, K., Fitzpatrick, N. K., Fatemifar, G., Banerjee, A., Dobson, R. J. B., Howe, L. J., Kuan, V., Lumbers, R. T., Pasea, L., Patel, R. S., Shah, A. D., Hingorani, A. D., Sudlow, C., and Hemingway, H., “UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER”, J Am Med Inform Assoc, 2019.
2018
O. Archangelidi, Pujades-Rodriguez, M., Timmis, A., Jouven, X., Denaxas, S., and Hemingway, H., “Clinically recorded heart rate and incidence of 12 coronary, cardiac, cerebrovascular and peripheral arterial diseases in 233,970 men and women: A linked electronic health record study”, Eur J Prev Cardiol, vol. 25, pp. 1485-1495, 2018.
J. Gho, Schmidt, A. F., Pasea, L., Koudstaal, S., Pujades-Rodriguez, M., Denaxas, S., Shah, A. D., Patel, R. S., Gale, C. P., Hoes, A. W., Cleland, J. G., Hemingway, H., and Asselbergs, F. W., “An electronic health records cohort study on heart failure following myocardial infarction in England: incidence and predictors”, BMJ Open, vol. 8, p. e018331, 2018.
2016
M. Daskalopoulou, George, J., Walters, K., Osborn, D. P., Batty, G. D., Stogiannis, D., Rapsomaniki, E., Pujades-Rodriguez, M., Denaxas, S., Udumyan, R., Kivimaki, M., and Hemingway, H., “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”, PLoS One, vol. 11, p. e0153838, 2016.
2013
E. Herrett, Shah, A. D., Boggon, R., Denaxas, S., Smeeth, L., Van Staa, T., Timmis, A., and Hemingway, H., “Completeness and diagnostic validity of recording acute myocardial infarction events in primary care, hospital care, disease registry, and national mortality records: cohort study”, Bmj, vol. 346, p. f2350, 2013.
E. Herrett, George, J., Denaxas, S., Bhaskaran, K., Timmis, A., Hemingway, H., and Smeeth, L., “Type and timing of heralding in ST-elevation and non-ST-elevation myocardial infarction: an analysis of prospectively collected electronic healthcare records linked to the national registry of acute coronary syndromes”, Eur Heart J Acute Cardiovasc Care, vol. 2, pp. 235-45, 2013.
2012
Z. Wang, Shah, A. D., Tate, A. R., Denaxas, S., Shawe-Taylor, J., and Hemingway, H., “Extracting diagnoses and investigation results from unstructured text in electronic health records by semi-supervised machine learning”, PLoS One, vol. 7, p. e30412, 2012.
C. Warren-Gash, Hayward, A. C., Hemingway, H., Denaxas, S., Thomas, S. L., Timmis, A. D., Whitaker, H., and Smeeth, L., “Influenza infection and risk of acute myocardial infarction in England and Wales: a CALIBER self-controlled case series study”, J Infect Dis, vol. 206, pp. 1652-9, 2012.
[Page last reviewed 4 May 2021]