United Kingdom

Daniel, R., Jones, H., Gregory, J. W., Shetty, A., Francis, N., Paranjothy, S., & Townson, J. (2024). Predicting type 1 diabetes in children using electronic health records in primary care in the UK: development and validation of a machine-learning algorithm. Lancet Digit Health, 6, e386-e395. http://doi.org/10.1016/s2589-7500(24)00050-5
Zhang, L., & Lewsey, J. (2024). Comparing the performance of two-stage residual inclusion methods when using physician's prescribing preference as an instrumental variable: unmeasured confounding and noncollapsibility. J Comp Eff Res, 13, e230085. http://doi.org/10.57264/cer-2023-0085
Harrison, H., Ip, S., Renzi, C., Li, Y., Barclay, M., Usher-Smith, J., et al. (2024). Implementation and external validation of the Cambridge Multimorbidity Score in the UK Biobank cohort. Bmc Med Res Methodol, 24, 71. http://doi.org/10.1186/s12874-024-02175-9
Lee, C., Rizzi, S., Bierrenbach, A. L., Antunes, L., Nissinen, N. M., Rocha, O., et al. (2024). Identification of misclassified pregnancy episodes in women of childbearing potential exposed to drugs with known teratogenic potential in the CPRD GOLD Pregnancy Register. Pharmacoepidemiol Drug Saf, 33, e5761. http://doi.org/10.1002/pds.5761
Druce, K. L., Yimer, B. B., Humphreys, J., Njuki, L. N., Bourke, D., Li, M., et al. (2023). The epidemiology of psoriatic arthritis in the UK: a health intelligence analysis of UK Primary Care Electronic Health Records 1991-2020. Rheumatology (Oxford). http://doi.org/10.1093/rheumatology/kead586
Rees, J., de Almeida, M., Ali, M., Covernton, P. J. O., Stoelzel, M., Leyland, K. M., et al. (2023). A Retrospective Database Analysis to Investigate Treatment Patterns and Health Care Resource Utilisation in Patients who CYCLe AntiMuscarinics in ENgland (CYCLAMEN). Eur Urol Focus. http://doi.org/10.1016/j.euf.2023.09.017
Tsang, C., Huda, A., Norman, M., Dickerson, C., Leo, V., Brownrigg, J., et al. (2023). Detecting transthyretin amyloid cardiomyopathy (ATTR-CM) using machine learning: an evaluation of the performance of an algorithm in a UK setting. Bmj Open, 13, e070028. http://doi.org/10.1136/bmjopen-2022-070028
Heward, E., Dempsey, J., Lunn, J., Molloy, J., Isba, R., Carr, M., et al. (2023). Protocol for the Paediatric Otorrhoea Study (POSt): a multi-methods study to understand the burden of paediatric otorrhoea in the UK. Bmj Open, 13, e078052. http://doi.org/10.1136/bmjopen-2023-078052
Zaccardi, F., Byrne, K., Khunti, K., Kloecker, D., Reynoso, R., Shabnam, S., et al. (2023). The impact of COVID-19 lockdowns on the body mass index of people living with obesity: A UK retrospective cohort study using the UK Clinical Practice Research Datalink. Obes Res Clin Pract. http://doi.org/10.1016/j.orcp.2023.09.008
Eworuke, E., Shinde, M., Hou, L., Paterson, M. J., Jensen, P. B., Maro, J. C., et al. (2023). Valsartan, Losartan and Irbesartan use in the USA, UK, Canada and Denmark after the nitrosamine recalls: a descriptive cohort study. Bmj Open, 13, e070985. http://doi.org/10.1136/bmjopen-2022-070985