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 7 results:
Author Title [ Type(Asc)] Year
Filters: Author is Li, Y.  [Clear All Filters]
Journal Article
Y. Li, Molter, A., White, A., Welfare, W., Palin, V., Belmonte, M., Ashcroft, D. M., Sperrin, M., and van Staa, T. P., Relationship between prescribing of antibiotics and other medicines in primary care: a cross-sectional study, Br J Gen Pract, vol. 69, pp. e42-e51, 2019.
Y. Li, Sperrin, M., Martin, G. P., Ashcroft, D. M., and van Staa, T. P., Examining the impact of data quality and completeness of electronic health records on predictions of patients' risks of cardiovascular disease, Int J Med Inform, vol. 133, p. 104033, 2020.
T. P. van Staa, Palin, V., Li, Y., Welfare, W., Felton, T. W., Dark, P., and Ashcroft, D. M., The effectiveness of frequent antibiotic use in reducing the risk of infection-related hospital admissions: results from two large population-based cohorts, BMC Med, vol. 18, p. 40, 2020.
Y. Li, Sperrin, M., Belmonte, M., Pate, A., Ashcroft, D. M., and van Staa, T. P., Do population-level risk prediction models that use routinely collected health data reliably predict individual risks?, Sci Rep, vol. 9, p. 11222, 2019.
C. Mistry, Palin, V., Li, Y., Martin, G. P., Jenkins, D., Welfare, W., Ashcroft, D. M., and Van Staa, T., Development and validation of a multivariable prediction model for infection-related complications in patients with common infections in UK primary care and the extent of risk-based prescribing of antibiotics, BMC Med, vol. 18, p. 118, 2020.
Y. Li, Sperrin, M., Ashcroft, D. M., and van Staa, T. P., Consistency of variety of machine learning and statistical models in predicting clinical risks of individual patients: longitudinal cohort study using cardiovascular disease as exemplar, Bmj, vol. 371, p. m3919, 2020.
Y. Li, Rao, S., Solares, J. R. A., Hassaine, A., Ramakrishnan, R., Canoy, D., Zhu, Y., Rahimi, K., and Salimi-Khorshidi, G., BEHRT: Transformer for Electronic Health Records, Sci Rep, vol. 10, p. 7155, 2020.
[Page last reviewed 4 May 2021]