Bibliography

Research using CPRD data has informed drug safety guidance and clinical practice and resulted in over 2,900 peer-reviewed publications. The CPRD bibliography is updated on a monthly basis (last updated 4 November 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, 4MB, 246 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 10 results:
Author Title [ Type(Desc)] Year
Filters: Author is Weng, S. F.  [Clear All Filters]
Journal Article
S. S. Zghebi, Mamas, M. A., Ashcroft, D. M., Rutter, M. K., VanMarwijk, H., Salisbury, C., Mallen, C. D., Chew-Graham, C. A., Qureshi, N., Weng, S. F., Holt, T., Buchan, I., Peek, N., Giles, S., Reeves, D., and Kontopantelis, E., Assessing the severity of cardiovascular disease in 213 088 patients with coronary heart disease: a retrospective cohort study, Open Heart, vol. 8, 2021.
S. F. Weng, Reps, J., Kai, J., Garibaldi, J. M., and Qureshi, N., Can machine-learning improve cardiovascular risk prediction using routine clinical data?, PLoS One, vol. 12, p. e0174944, 2017.
M. Nowakowska, Zghebi, S. S., Ashcroft, D. M., Buchan, I., Chew-Graham, C., Holt, T., Mallen, C., van Marwijk, H., Peek, N., Perera-Salazar, R., Reeves, D., Rutter, M. K., Weng, S. F., Qureshi, N., Mamas, M. A., and Kontopantelis, E., The comorbidity burden of type 2 diabetes mellitus: patterns, clusters and predictions from a large English primary care cohort, BMC Med, vol. 17, p. 145, 2019.
S. F. Weng, Kai, J., H. Neil, A., Humphries, S. E., and Qureshi, N., Improving identification of familial hypercholesterolaemia in primary care: derivation and validation of the familial hypercholesterolaemia case ascertainment tool (FAMCAT), Atherosclerosis, vol. 238, pp. 336-43, 2015.
R. K. Akyea, Doehner, W., Iyen, B., Weng, S. F., Qureshi, N., and Ntaios, G., Obesity and long-term outcomes after incident stroke: a prospective population-based cohort study, J Cachexia Sarcopenia Muscle, 2021.
R. K. Akyea, Qureshi, N., Kai, J., and Weng, S. F., Performance and clinical utility of supervised machine-learning approaches in detecting familial hypercholesterolaemia in primary care, NPJ Digit Med, vol. 3, p. 142, 2020.
R. K. Akyea, Vinogradova, Y., Qureshi, N., Patel, R. S., Kontopantelis, E., Ntaios, G., Asselbergs, F. W., Kai, J., and Weng, S. F., Sex, Age, and Socioeconomic Differences in Nonfatal Stroke Incidence and Subsequent Major Adverse Outcomes, Stroke, vol. 52, pp. 396-405, 2021.
R. K. Akyea, Kontopantelis, E., Kai, J., Weng, S. F., Patel, R. S., Asselbergs, F. W., and Qureshi, N., Sex disparity in subsequent outcomes in survivors of coronary heart disease, Heart, 2021.
R. K. Akyea, Kai, J., Qureshi, N., Iyen, B., and Weng, S. F., Sub-optimal cholesterol response to initiation of statins and future risk of cardiovascular disease, Heart, 2019.
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.
[Page last reviewed 4 November 2021]