
Privacy notice | Accessibility statement | Terms and conditions | Login | Contact |
UK data driving real-world evidence
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 6 April 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.
“Mortality and cancer in patients with new musculoskeletal episodes: a cohort study”, Br J Gen Pract, vol. 60, pp. e105-11, 2010.
, “Incidence of prostate, breast, lung and colorectal cancer following new consultation for musculoskeletal pain: a cohort study among UK primary care patients”, Int J Cancer, vol. 133, pp. 713-20, 2013.
, “Trends in long-term opioid prescribing in primary care patients with musculoskeletal conditions: an observational database study”, Pain, vol. 157, pp. 1525-31, 2016.
, “Population trends in the incidence and initial management of osteoarthritis: age-period-cohort analysis of the Clinical Practice Research Datalink, 1992-2013”, Rheumatology (Oxford), vol. 56, pp. 1902-1917, 2017.
, ,
“Underrecording of osteoarthritis in United Kingdom primary care electronic health record data”, Clin Epidemiol, vol. 10, pp. 1195-1201, 2018.
, “Validation of hip osteoarthritis diagnosis recording in the UK Clinical Practice Research Datalink”, Pharmacoepidemiol Drug Saf, 2018.
, “Bleeding After Hospital Discharge Following Acute Coronary Syndrome: Incidence, Types, Timing, and Predictors”, J Am Heart Assoc, vol. 8, p. e013679, 2019.
, , , , ,
“Estimating the population health burden of musculoskeletal conditions using primary care electronic health records”, Rheumatology (Oxford), 2021.
,