Cardiovascular disease

Jordan, K. P., Rathod-Mistry, T., van der Windt, D. A., Bailey, J., Chen, Y., Clarson, L., et al. (2023). Determining cardiovascular risk in patients with unattributed chest pain in UK primary care: an electronic health record study. Eur J Prev Cardiol. http://doi.org/10.1093/eurjpc/zwad055
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Wambua, S., Crowe, F., Thangaratinam, S., O'Reilly, D., McCowan, C., Brophy, S., et al. (2022). Protocol for development and validation of postpartum cardiovascular disease (CVD) risk prediction model incorporating reproductive and pregnancy-related candidate predictors. Diagn Progn Res, 6, 23. http://doi.org/10.1186/s41512-022-00137-7
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group, D. I. A. L. 2 working. (2022). Estimating individual lifetime risk of incident cardiovascular events in adults with type 2 diabetes: an update and geographical calibration of the DIAbetes Lifetime perspective model (DIAL2). Eur J Prev Cardiol. http://doi.org/10.1093/eurjpc/zwac232
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Idris, I., Zhang, R., Mamza, J. B., Ford, M., Morris, T., Banerjee, A., & Khunti, K. (2021). Lower risk of hospitalization for heart failure, kidney disease and death with sodium-glucose co-transporter-2 inhibitors compared with dipeptidyl peptidase-4 inhibitors in type 2 diabetes regardless of prior cardiovascular or kidney disease. Diabetes Obes Metab, 23, 2207-2214. http://doi.org/10.1111/dom.14437
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McKay, A. J., Gunn, L. H., & Ray, K. K. (2022). Assessing the external validity of the SAFEHEART risk prediction model in patients with familial hypercholesterolaemia in an English routine care cohort. Atherosclerosis. http://doi.org/10.1016/j.atherosclerosis.2022.07.011
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Xu, Z., Arnold, M., Sun, L., Stevens, D., Chung, R., Ip, S., et al. (2022). Incremental value of risk factor variability for cardiovascular risk prediction in individuals with type 2 diabetes: results from UK primary care electronic health records. Int J Epidemiol. http://doi.org/10.1093/ije/dyac140
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Bilitou, A., Were, J., Farrer, A., Rabe, A., W. Y. Ming, S., Haq, I., & Dunton, K. (2022). Prevalence and Patient Outcomes of Adult Primary Hypercholesterolemia and Dyslipidemia in the UK: Longitudinal Retrospective Study Using a Primary Care Dataset from 2009 to 2019. Clinicoecon Outcomes Res, 14, 189-203. http://doi.org/10.2147/ceor.s347085
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Jordan, K. P., Rathod-Mistry, T., Bailey, J., Chen, Y., Clarson, L., Denaxas, S., et al. (2022). Long-Term Cardiovascular Risk and Management of Patients Recorded in Primary Care With Unattributed Chest Pain: An Electronic Health Record Study. J Am Heart Assoc, 11, e023146. http://doi.org/10.1161/jaha.121.023146
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Lemp, J. M., Nuthanapati, M. P., Bärnighausen, T. W., Vollmer, S., Geldsetzer, P., & Jani, A. (2022). Use of lifestyle interventions in primary care for individuals with newly diagnosed hypertension, hyperlipidaemia or obesity: a retrospective cohort study. J R Soc Med, 1410768221077381. http://doi.org/10.1177/01410768221077381
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Abner, S., Gillies, C. L., Shabnam, S., Zaccardi, F., Seidu, S., Davies, M. J., et al. (2022). Consultation rates in people with type 2 diabetes with and without vascular complications: a retrospective analysis of 141,328 adults in England. Cardiovasc Diabetol, 21, 8. http://doi.org/10.1186/s12933-021-01435-y
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