Research using CPRD data has informed drug safety guidance and clinical practice and resulted in over 2,300 peer-reviewed publications.

The CPRD bibliography is updated on a monthly basis (last updated 4 November 2019) 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 so that we can update the bibliography.


(PDF, 3MB, 192 pages)


Export 26 results:
Author Title Type [ Year(Desc)]
Filters: Author is Hemingway, H.  [Clear All Filters]
I. J. Douglas, Evans, S. J., Hingorani, A. D., Grosso, A. M., Timmis, A., Hemingway, H., and Smeeth, L., Clopidogrel and interaction with proton pump inhibitors: comparison between cohort and within person study designs, Bmj, vol. 345, p. e4388, 2012.
R. Boggon, Eaton, S., Timmis, A., Hemingway, H., Gabriel, H., Minhas, I., and van Staa, T. P., Current prescribing of statins and persistence to statins following ACS in the UK: a MINAP/GPRD study, Br J Cardiol, vol. 19, p. 24, 2012.
S. C. Denaxas, George, J., Herrett, E., Shah, A. D., Kalra, D., Hingorani, A. D., Kivimaki, M., Timmis, A. D., Smeeth, L., and Hemingway, H., Data resource profile: cardiovascular disease research using linked bespoke studies and electronic health records (CALIBER), Int J Epidemiol, vol. 41, pp. 1625-38, 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.
A. D. Shah, Martinez, C., and Hemingway, H., The freetext matching algorithm: a computer program to extract diagnoses and causes of death from unstructured text in electronic health records, BMC Med Inform Decis Mak, vol. 12, p. 88, 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.
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. 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.
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.
[Page last reviewed 4 November 2019]