Bibliography

Research using CPRD data has informed drug safety guidance and clinical practice and resulted in over 2,500 peer-reviewed publications. The CPRD bibliography is updated on a monthly basis (last updated 5 October 2020) 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, 3MB, 209 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 20 results:
Author Title Type [ Year(Asc)]
Filters: Author is Denaxas, S.  [Clear All Filters]
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.
[Page last reviewed 5 October 2020]