Bibliography

Research using CPRD data has informed drug safety guidance and clinical practice and resulted in over 2,400 peer-reviewed publications. The CPRD bibliography is updated on a monthly basis (last updated 6 April 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, 196 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 4 results:
Author Title [ Type(Desc)] Year
Filters: Author is Direk, K.  [Clear All Filters]
Journal Article
S. Harmala, O'Brien, A., Parisinos, C. A., Direk, K., Shallcross, L., and Hayward, A., Development and validation of a prediction model to estimate the risk of liver cirrhosis in primary care patients with abnormal liver blood test results: protocol for an electronic health record study in Clinical Practice Research Datalink, Diagn Progn Res, vol. 3, p. 10, 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.
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 6 April 2020]