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UK data driving real-world evidence
Bibliography
Research using CPRD data has informed drug safety guidance and clinical practice and resulted in over 2,600 peer-reviewed publications. The CPRD bibliography is updated on a monthly basis (last updated 4 January 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.
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(PDF, 3MB, 218 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.
“Antipsychotic drugs and risks of myocardial infarction: a self-controlled case series study”, Eur Heart J, vol. 36, pp. 984-92, 2015.
, “Clinically recorded heart rate and incidence of 12 coronary, cardiac, cerebrovascular and peripheral arterial diseases in 233,970 men and women: A linked electronic health record study”, Eur J Prev Cardiol, vol. 25, pp. 1485-1495, 2018.
, “Clopidogrel and interaction with proton pump inhibitors: comparison between cohort and within person study designs”, Bmj, vol. 345, p. e4388, 2012.
, “Clopidogrel discontinuation after acute coronary syndromes: frequency, predictors and associations with death and myocardial infarction–a hospital registry-primary care linked cohort (MINAP-GPRD)”, Eur Heart J, vol. 32, pp. 2376-86, 2011.
, “Closing the mortality gap after a myocardial infarction in people with and without chronic obstructive pulmonary disease”, Heart, vol. 101, pp. 1103-10, 2015.
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“Smoking cessation interventions following acute coronary syndrome: a missed opportunity?”, Eur J Prev Cardiol, vol. 21, pp. 767-73, 2014.
, “Time spent at blood pressure target and the risk of death and cardiovascular diseases”, PLoS One, vol. 13, p. e0202359, 2018.
, “Type and timing of heralding in ST-elevation and non-ST-elevation myocardial infarction: an analysis of prospectively collected electronic healthcare records linked to the national registry of acute coronary syndromes”, Eur Heart J Acute Cardiovasc Care, vol. 2, pp. 235-45, 2013.
, “Using big data from health records from four countries to evaluate chronic disease outcomes: a study in 114 364 survivors of myocardial infarction”, Eur Heart J Qual Care Clin Outcomes, vol. 2, pp. 172-183, 2016.
, “Using electronic health records to predict costs and outcomes in stable coronary artery disease”, Heart, vol. 102, pp. 755-62, 2016.
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