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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 2,700 peer-reviewed publications. The CPRD bibliography is updated on a monthly basis (last updated 4 March 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, 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.
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“Comparison of antibiotic prescribing records in two UK primary care electronic health record systems: cohort study using CPRD GOLD and CPRD Aurum databases”, BMJ Open, vol. 10, p. e038767, 2020.
, “Peritonsillar Abscess and Antibiotic Prescribing for Respiratory Infection in Primary Care: A Population-Based Cohort Study and Decision-Analytic Model”, Ann Fam Med, vol. 18, pp. 390-396, 2020.
, “Probability of sepsis after infection consultations in primary care in the United Kingdom in 2002-2017: Population-based cohort study and decision analytic model”, PLoS Med, vol. 17, p. e1003202, 2020.
, “Sepsis recording in primary care electronic health records, linked hospital episodes and mortality records: Population-based cohort study in England”, PLoS One, vol. 15, p. e0244764, 2020.
, “Serious bacterial infections and antibiotic prescribing in primary care: cohort study using electronic health records in the UK”, BMJ Open, vol. 10, p. e036975, 2020.
, “Cost-Effectiveness of Antihypertensive Therapy in Patients Older Than 80 Years: Cohort Study and Markov Model”, Value Health, vol. 22, pp. 1362-1369, 2019.
, “Effectiveness and safety of electronically delivered prescribing feedback and decision support on antibiotic use for respiratory illness in primary care: REDUCE cluster randomised trial”, Bmj, vol. 364, p. l236, 2019.
, “Electronically delivered interventions to reduce antibiotic prescribing for respiratory infections in primary care: cluster RCT using electronic health records and cohort study”, Health Technol Assess, vol. 23, pp. 1-70, 2019.
, “Health checks and cardiovascular risk factor values over six years' follow-up: Matched cohort study using electronic health records in England”, PLoS Med, vol. 16, p. e1002863, 2019.
, “Importance of Frailty for Association of Antipsychotic Drug Use with Risk of Fracture: Cohort Study Using Electronic Health Records”, J Am Med Dir Assoc, 2019.
, “Reducing antibiotic prescribing in primary care in England from 2014 to 2017: population-based cohort study”, BMJ Open, vol. 9, p. e023989, 2019.
, “Antidepressant utilisation and incidence of weight gain during 10 years' follow-up: population based cohort study”, Bmj, vol. 361, p. k1951, 2018.
, “Determinants of health care costs in the senior elderly: age, comorbidity, impairment, or proximity to death?”, Eur J Health Econ, vol. 19, pp. 831-842, 2018.
, “Trajectory of Total Cholesterol in the Last Years of Life Over Age 80 Years: Cohort Study of 99,758 Participants”, J Gerontol A Biol Sci Med Sci, vol. 73, pp. 1083-1089, 2018.
, “Costs and Outcomes of Increasing Access to Bariatric Surgery: Cohort Study and Cost-Effectiveness Analysis Using Electronic Health Records”, Value Health, vol. 20, pp. 85-92, 2017.
, “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.
, “Drug prescribing during the last year of life in very old people with diabetes”, Age Ageing, vol. 46, pp. 147-151, 2017.
, “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.
, “Are healthcare costs from obesity associated with body mass index, comorbidity or depression? Cohort study using electronic health records”, Clin Obes, vol. 6, pp. 225-31, 2016.
, “Changing Epidemiology of Bariatric Surgery in the UK: Cohort Study Using Primary Care Electronic Health Records”, Obes Surg, vol. 26, pp. 1900-5, 2016.
, “Do health checks improve risk factor detection in primary care? Matched cohort study using electronic health records”, J Public Health (Oxf), vol. 38, pp. 552-559, 2016.
, “Effect of Contemporary Bariatric Surgical Procedures on Type 2 Diabetes Remission. A Population-Based Matched Cohort Study”, Obes Surg, vol. 26, pp. 2308-15, 2016.
, “Electronically delivered, multicomponent intervention to reduce unnecessary antibiotic prescribing for respiratory infections in primary care: a cluster randomised trial using electronic health records-REDUCE Trial study original protocol”, BMJ Open, vol. 6, p. e010892, 2016.
, “Safety of reduced antibiotic prescribing for self limiting respiratory tract infections in primary care: cohort study using electronic health records”, Bmj, vol. 354, p. i3410, 2016.
, “Severity of obesity and management of hypertension, hypercholesterolaemia and smoking in primary care: population-based cohort study”, J Hum Hypertens, vol. 30, pp. 40-5, 2016.
, “Access to weight reduction interventions for overweight and obese patients in UK primary care: population-based cohort study”, BMJ Open, vol. 5, p. e006642, 2015.
, “Antidiabetic and cardiovascular drug utilisation in patients diagnosed with type 2 diabetes mellitus over the age of 80 years: a population-based cohort study”, Age Ageing, vol. 44, pp. 566-73, 2015.
, “Childhood obesity trends from primary care electronic health records in England between 1994 and 2013: population-based cohort study”, Arch Dis Child, vol. 100, pp. 214-9, 2015.
, “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.
, “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.
, “Probability of an Obese Person Attaining Normal Body Weight: Cohort Study Using Electronic Health Records”, Am J Public Health, vol. 105, pp. e54-9, 2015.
, “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 randomized trials utilizing primary care electronic health records: methodological issues in design, conduct, and analysis (eCRT Study)”, Trials, vol. 15, p. 220, 2014.
, “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.
, “Cost-effectiveness of a universal strategy of brief dietary intervention for primary prevention in primary care: population-based cohort study and Markov model”, Cost Eff Resour Alloc, vol. 12, p. 4, 2014.
, “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.
, “Impact and cost-effectiveness of a universal strategy to promote physical activity in primary care: population-based cohort study and Markov model”, Eur J Health Econ, vol. 15, pp. 341-51, 2014.
, “Impact of body mass index on prevalence of multimorbidity in primary care: cohort study”, Fam Pract, vol. 31, pp. 38-43, 2014.
, “Incidence of type 2 diabetes after bariatric surgery: population-based matched cohort study”, Lancet Diabetes Endocrinol, vol. 2, pp. 963-8, 2014.
, “Point-of-care cluster randomized trial in stroke secondary prevention using electronic health records”, Stroke, vol. 45, pp. 2066-71, 2014.
, “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.
, “Epidemiology of clinical body mass index recording in an obese population in primary care: a cohort study”, J Public Health (Oxf), vol. 35, pp. 67-74, 2013.
, “Fracture risk with use of liver enzyme inducing antiepileptic drugs in people with active epilepsy: cohort study using the general practice research database”, Seizure, vol. 22, pp. 37-42, 2013.
, “Validity of smoking prevalence estimates from primary care electronic health records compared with national population survey data for England, 2007 to 2011”, Pharmacoepidemiol Drug Saf, vol. 22, pp. 1357-61, 2013.
, “Coding, recording and incidence of different forms of coronary heart disease in primary care”, PLoS One, vol. 7, p. e29776, 2012.
, “Incidence, mortality, and disease associations of pyoderma gangrenosum in the United Kingdom: a retrospective cohort study”, J Invest Dermatol, vol. 132, pp. 2166-70, 2012.
, “Trends in antiepileptic drug utilisation in UK primary care 1993-2008: cohort study using the General Practice Research Database”, Seizure, vol. 21, pp. 466-70, 2012.
, “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.
, “Antihypertensive treatment after first stroke in primary care: results from the General Practitioner Research Database”, J Hypertens, vol. 29, pp. 154-60, 2011.
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