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.

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 (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 2770 results:
Author Title [ Type(Asc)] Year
Journal Article
A. V. Margulis, Fortuny, J., Kaye, J. A., Calingaert, B., Reynolds, M., Plana, E., McQuay, L. J., Atsma, W. J., Franks, B., de Vogel, S., Perez-Gutthann, S., and Arana, A., Value of Free-text Comments for Validating Cancer Cases Using Primary-care Data in the United Kingdom, Epidemiology, vol. 29, pp. e41-e42, 2018.
S. F. Weng, Kai, J., Guha, I. N., and Qureshi, N., The value of aspartate aminotransferase and alanine aminotransferase in cardiovascular disease risk assessment, Open Heart, vol. 2, p. e000272, 2015.
S. S. Jick, Kaye, J. A., Vasilakis-Scaramozza, C., Rodriguez, L. A. Garcia, Ruigomez, A., Meier, C. R., Schlienger, R. G., Black, C., and Jick, H., Validity of the general practice research database, Pharmacotherapy, vol. 23, pp. 686-9, 2003.
H. P. Booth, Prevost, A. T., and Gulliford, M. C., 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.
L. Li, Setoguchi, S., and Jick, S., Validity of non-fatal idiopathic serious ventricular arrhythmia in UK-based Clinical Practice Research Datalink, Pharmacoepidemiol Drug Saf, vol. 23, pp. 999-1001, 2014.
M. Iwagami, Tomlinson, L. A., Mansfield, K. E., Casula, A., Caskey, F. J., Aitken, G., Fraser, S. D. S., Roderick, P. J., and Nitsch, D., Validity of estimated prevalence of decreased kidney function and renal replacement therapy from primary care electronic health records compared with national survey and registry data in the United Kingdom, Nephrol Dial Transplant, vol. 32, pp. ii142-ii150, 2017.
N. F. Khan, Harrison, S. E., and Rose, P. W., Validity of diagnostic coding within the General Practice Research Database: a systematic review, Br J Gen Pract, vol. 60, pp. e128-36, 2010.
M. E. Saine, Gizaw, M., Carbonari, D. M., Newcomb, C. W., Roy, J. A., Cardillo, S., Esposito, D. B., Bhullar, H., Gallagher, A. M., Strom, B. L., and , Validity of diagnostic codes to identify hospitalizations for infections among patients treated with oral anti-diabetic drugs, Pharmacoepidemiol Drug Saf, 2017.
E. L. Herrett, Thomas, S. L., and Smeeth, L., Validity of diagnoses in the general practice research database, Br J Gen Pract, vol. 61, pp. 438-9, 2011.
A. Dregan, Moller, H., Murray-Thomas, T., and Gulliford, M. C., 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.
T. Burkard, Rauch, M., Jick, S. S., and Meier, C. R., Validity of bariatric surgery codes in the UK Clinical Practice Research Datalink (CPRD) GOLD compared with Hospital Episodes Statistics, Pharmacoepidemiol Drug Saf, 2021.
K. J. Rothnie, Chandan, J. S., Goss, H. G., Mullerova, H., and Quint, J. K., Validity and interpretation of spirometric recordings to diagnose COPD in UK primary care, Int J Chron Obstruct Pulmon Dis, vol. 12, pp. 1663-1668, 2017.
J. D. Lewis, Brensinger, C., Bilker, W. B., and Strom, B. L., Validity and completeness of the General Practice Research Database for studies of inflammatory bowel disease, Pharmacoepidemiol Drug Saf, vol. 11, pp. 211-8, 2002.
C. J. Crooks, West, J., and Jepsen, P., A validation study of the CirCom comorbidity score in an English cirrhosis population using the Clinical Practice Research Datalink, Clin Epidemiol, vol. 10, pp. 107-120, 2018.
M. S. M. Persson, Harman, K. E., Vinogradova, Y., Langan, S. M., Hippisley-Cox, J., Thomas, K. S., and Gran, S., Validation study of bullous pemphigoid and pemphigus vulgaris recording in routinely collected electronic primary healthcare records in England, BMJ Open, vol. 10, p. e035934, 2020.
K. J. Rothnie, Mullerova, H., Hurst, J. R., Smeeth, L., Davis, K., Thomas, S. L., and Quint, J. K., Validation of the Recording of Acute Exacerbations of COPD in UK Primary Care Electronic Healthcare Records, PLoS One, vol. 11, p. e0151357, 2016.
R. Lawrenson, Todd, J. C., Leydon, G. M., Williams, T. J., and Farmer, R. D., Validation of the diagnosis of venous thromboembolism in general practice database studies, Br J Clin Pharmacol, vol. 49, pp. 591-6, 2000.
E. Fombonne, Heavey, L., Smeeth, L., Rodrigues, L. C., Cook, C., Smith, P. G., Meng, L., and Hall, A. J., Validation of the diagnosis of autism in general practitioner records, BMC Public Health, vol. 4, p. 5, 2004.
K. H. Thomas, Davies, N., Metcalfe, C., Windmeijer, F., Martin, R. M., and Gunnell, D., Validation of suicide and self-harm records in the Clinical Practice Research Datalink, Br J Clin Pharmacol, vol. 76, pp. 145-57, 2013.
N. Frey, Bircher, A., Bodmer, M., Jick, S. S., Meier, C. R., and Spoendlin, J., Validation of Stevens-Johnson syndrome or toxic epidermal necrolysis diagnoses in the Clinical Practice Research Datalink, Pharmacoepidemiol Drug Saf, vol. 26, pp. 429-436, 2017.
S. Devine, West, S. L., Andrews, E., Tennis, P., Eaton, S., Thorp, J., and Olshan, A., Validation of neural tube defects in the full featured–general practice research database, Pharmacoepidemiol Drug Saf, vol. 17, pp. 434-44, 2008.
H. Jick, Jick, S. S., and Derby, L. E., Validation of information recorded on general practitioner based computerised data resource in the United Kingdom, Bmj, vol. 302, pp. 766-8, 1991.
R. J. Ferguson, Prieto-Alhambra, D., Walker, C., Yu, D., Valderas, J. M., Judge, A., Griffiths, J., Jordan, K. P., Peat, G., Glyn-Jones, S., and Silman, A. J., Validation of hip osteoarthritis diagnosis recording in the UK Clinical Practice Research Datalink, Pharmacoepidemiol Drug Saf, 2018.
J. K. Quint, Mullerova, H., DiSantostefano, R. L., Forbes, H., Eaton, S., Hurst, J. R., Davis, K., and Smeeth, L., Validation of chronic obstructive pulmonary disease recording in the Clinical Practice Research Datalink (CPRD-GOLD), BMJ Open, vol. 4, p. e005540, 2014.
A. Arana, Margulis, A. V., Varas-Lorenzo, C., Bui, C. L., Gilsenan, A., McQuay, L. J., Reynolds, M., Rebordosa, C., Franks, B., de Vogel, S., Appenteng, K., and Perez-Gutthann, S., Validation of cardiovascular outcomes and risk factors in the Clinical Practice Research Datalink in the United Kingdom, Pharmacoepidemiol Drug Saf, 2020.
A. V. Margulis, Fortuny, J., Kaye, J. A., Calingaert, B., Reynolds, M., Plana, E., McQuay, L. J., Atsma, W. J., Franks, B., de Vogel, S., Perez-Gutthann, S., and Arana, A., Validation of Cancer Cases Using Primary Care, Cancer Registry, and Hospitalization Data in the United Kingdom, Epidemiology, vol. 29, pp. 308-313, 2018.
K. W. Hagberg and Jick, S. S., Validation of autism spectrum disorder diagnoses recorded in the Clinical Practice Research Datalink, 1990-2014, Clin Epidemiol, vol. 9, pp. 475-482, 2017.
F. Nissen, Morales, D. R., Mullerova, H., Smeeth, L., Douglas, I. J., and Quint, J. K., Validation of asthma recording in the Clinical Practice Research Datalink (CPRD), BMJ Open, vol. 7, p. e017474, 2017.
E. Herrett, Thomas, S. L., Schoonen, W. M., Smeeth, L., and Hall, A. J., Validation and validity of diagnoses in the General Practice Research Database: a systematic review, Br J Clin Pharmacol, vol. 69, pp. 4-14, 2010.
J. A. Delaney, Moodie, E. E., and Suissa, S., Validating the effects of drug treatment on blood pressure in the General Practice Research Database, Pharmacoepidemiol Drug Saf, vol. 17, pp. 535-45, 2008.
R. P. Cornish, Henderson, J., Boyd, A. W., Granell, R., Van Staa, T., and Macleod, J., Validating childhood asthma in an epidemiological study using linked electronic patient records, BMJ Open, vol. 4, p. e005345, 2014.
J. E. Amegadzie, Badejo, O., Gamble, J. M., Wright, M., Farrell, J., Jackson, B., Sultana, K., Hashmi, M., and Gao, Z., Validated methods to identify patients with asthma-COPD overlap in healthcare databases: a systematic review protocol, BMJ Open, vol. 9, p. e024306, 2019.
S. A. Bremner, Carey, I. M., DeWilde, S., Richards, N., Maier, W. C., Hilton, S. R., Strachan, D. P., and Cook, D. G., Vaccinations, infections and antibacterials in the first grass pollen season of life and risk of later hayfever, Clin Exp Allergy, vol. 37, pp. 512-7, 2007.
T. M. McKeever, Lewis, S. A., Smith, C., and Hubbard, R., Vaccination and allergic disease: a birth cohort study, Am J Public Health, vol. 94, pp. 985-9, 2004.
T. Burkard, Moser, M., Rauch, M., Jick, S. S., and Meier, C. R., Utilization pattern of hormone therapy in UK general practice between 1996 and 2015: a descriptive study, Menopause, 2019.
T. A. Durham, K. Lich, H., Viera, A. J., Fine, J. P., Mukherjee, J., Weinberger, M., and Dusetzina, S. B., Utilization of Standard and Target-Specific Oral Anticoagulants Among Adults in the United Kingdom With Incident Atrial Fibrillation, Am J Cardiol, vol. 120, pp. 1820-1829, 2017.
A. M. Gallagher, Leighton-Scott, J., and van Staa, T. P., Utilization characteristics and treatment persistence in patients prescribed low-dose buprenorphine patches in primary care in the United Kingdom: a retrospective cohort study, Clin Ther, vol. 31, pp. 1707-15, 2009.
G. Requena, Dedman, D., Quint, J. K., Ghosh, R. E., Williams, R., and Pimenta, J. M., The Utilization and Safety of Umeclidinium and Umeclidinium/Vilanterol in UK Primary Care: A Retrospective Cohort Study, Int J Chron Obstruct Pulmon Dis, vol. 16, pp. 629-642, 2021.
K. E. Wurst, Ephross, S. A., Loehr, J., Clark, D. W., and Guess, H. A., The utility of the general practice research database to examine selected congenital heart defects: a validation study, Pharmacoepidemiol Drug Saf, vol. 16, pp. 867-77, 2007.
P. J. Helms, S. Daukes, E., Taylor, M. W., Simpson, C. R., and McLay, J. S., Utility of routinely acquired primary care data for paediatric disease epidemiology and pharmacoepidemiology, Br J Clin Pharmacol, vol. 59, pp. 684-90, 2005.
T. P. van Staa, Leufkens, H. G., and Cooper, C., Utility of medical and drug history in fracture risk prediction among men and women, Bone, vol. 31, pp. 508-14, 2002.
S. L. Stevens, McManus, R. J., and Stevens, R. J., The utility of long-term blood pressure variability for cardiovascular risk prediction in primary care, J Hypertens, 2018.
A. Dregan, Toschke, M. A., Wolfe, C. D., Rudd, A., Ashworth, M., and Gulliford, M. C., Utility of electronic patient records in primary care for stroke secondary prevention trials, BMC Public Health, vol. 11, p. 86, 2011.
S. E. Bromley, de Vries, C. S., and Farmer, R. D., Utilisation of hormone replacement therapy in the United Kingdom. A descriptive study using the general practice research database, Bjog, vol. 111, pp. 369-76, 2004.
D. Roy, Akriche, F., Amlani, B., and Shakir, S., Utilisation and Safety of Polyethylene Glycol 3350 with Electrolytes in Children Under 2 Years: A Retrospective Cohort, J Pediatr Gastroenterol Nutr, 2021.
C. A. Emdin, Anderson, S. G., Callender, T., Conrad, N., Salimi-Khorshidi, G., Mohseni, H., Woodward, M., and Rahimi, K., Usual blood pressure, peripheral arterial disease, and vascular risk: cohort study of 4.2 million adults, Bmj, vol. 351, p. h4865, 2015.
C. A. Emdin, Anderson, S. G., Salimi-Khorshidi, G., Woodward, M., MacMahon, S., Dwyer, T., and Rahimi, K., Usual blood pressure, atrial fibrillation and vascular risk: evidence from 4.3 million adults, Int J Epidemiol, vol. 46, pp. 162-172, 2017.
C. A. Emdin, Anderson, S. G., Woodward, M., and Rahimi, K., Usual Blood Pressure and Risk of New-Onset Diabetes: Evidence From 4.1 Million Adults and a Meta-Analysis of Prospective Studies, J Am Coll Cardiol, vol. 66, pp. 1552-1562, 2015.
S. S. Zghebi, Rutter, M. K., Ashcroft, D. M., Salisbury, C., Mallen, C., Chew-Graham, C. A., Reeves, D., van Marwijk, H., Qureshi, N., Weng, S., Peek, N., Planner, C., Nowakowska, M., Mamas, M., and Kontopantelis, E., Using electronic health records to quantify and stratify the severity of type 2 diabetes in primary care in England: rationale and cohort study design, BMJ Open, vol. 8, p. e020926, 2018.
M. Asaria, Walker, S., Palmer, S., Gale, C. P., Shah, A. D., Abrams, K. R., Crowther, M., Manca, A., Timmis, A., Hemingway, H., and Sculpher, M., Using electronic health records to predict costs and outcomes in stable coronary artery disease, Heart, vol. 102, pp. 755-62, 2016.
[Page last reviewed 6 April 2021]