
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 5 February 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, 3MB, 220 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.
“Chronic inflammatory disorders and risk of type 2 diabetes mellitus, coronary heart disease, and stroke: a population-based cohort study”, Circulation, vol. 130, pp. 837-44, 2014.
, “Cluster randomised trial in the General Practice Research Database: 1. Electronic decision support to reduce antibiotic prescribing in primary care (eCRT study)”, Trials, vol. 12, p. 115, 2011.
, “Cluster randomized trial in the general practice research database: 2. Secondary prevention after first stroke (eCRT study): study protocol for a randomized controlled trial”, Trials, vol. 13, p. 181, 2012.
, “Cluster randomized trials utilizing primary care electronic health records: methodological issues in design, conduct, and analysis (eCRT Study)”, Trials, vol. 15, p. 220, 2014.
, “Common mental disorders within chronic inflammatory disorders: a primary care database prospective investigation”, Ann Rheum Dis, 2019.
, “Continued high rates of antibiotic prescribing to adults with respiratory tract infection: survey of 568 UK general practices”, BMJ Open, vol. 4, p. e006245, 2014.
, “Declining blood pressure and intensification of blood pressure management among people over 80 years: cohort study using electronic health records”, J Hypertens, vol. 35, pp. 1276-1282, 2017.
, “Differences in Health at Age 100 According to Sex: Population-Based Cohort Study of Centenarians Using Electronic Health Records”, J Am Geriatr Soc, vol. 63, pp. 1331-7, 2015.
, “Electronic health records for intervention research: a cluster randomized trial to reduce antibiotic prescribing in primary care (eCRT study)”, Ann Fam Med, vol. 12, pp. 344-51, 2014.
, “Estimating the yield of NHS Health Checks in England: a population-based cohort study”, J Public Health (Oxf), vol. 37, pp. 234-40, 2015.
, “Incidence and mortality of relapsing polychondritis in the UK: a population-based cohort study”, Rheumatology (Oxford), vol. 54, pp. 2181-7, 2015.
, “Incidence of type 2 diabetes after bariatric surgery: population-based matched cohort study”, Lancet Diabetes Endocrinol, vol. 2, pp. 963-8, 2014.
, “Long-term trends in antithrombotic drug prescriptions among adults aged 80 years and over from primary care: a temporal trends analysis using electronic health records”, Ann Epidemiol, vol. 28, pp. 440-446, 2018.
, “Point-of-care cluster randomized trial in stroke secondary prevention using electronic health records”, Stroke, vol. 45, pp. 2066-71, 2014.
, “Potential application of item-response theory to interpretation of medical codes in electronic patient records”, BMC Med Res Methodol, vol. 11, p. 168, 2011.
, “The relationship between prior antimicrobial prescription and meningitis: a case-control study”, Br J Gen Pract, vol. 66, pp. e228-33, 2016.
, “Is sodium valproate, an HDAC inhibitor, associated with reduced risk of stroke and myocardial infarction? A nested case-control study”, Pharmacoepidemiol Drug Saf, vol. 23, pp. 759-67, 2014.
, “Systolic Blood Pressure Trajectory, Frailty, and All-Cause Mortality >80 Years of Age: Cohort Study Using Electronic Health Records”, Circulation, vol. 135, pp. 2357-2368, 2017.
, “Utility of electronic patient records in primary care for stroke secondary prevention trials”, BMC Public Health, vol. 11, p. 86, 2011.
, “Validity of cancer diagnosis in a primary care database compared with linked cancer registrations in England. Population-based cohort study”, Cancer Epidemiol, vol. 36, pp. 425-9, 2012.
,