S. Denaxas

First name
S.
Last name
Denaxas
Matthewman, J. ., Schultze, A. ., Strongman, H. ., Bhaskaran, K. ., Roberts, A. ., Denaxas, S. ., … Langan, S. M. (2024). Cohort studies on 71 outcomes among people with atopic eczema in UK primary care data. Nat Commun, 15, 9573. http://doi.org/10.1038/s41467-024-54035-1
Whitfield, E. ., White, B. ., Barclay, M. E., Rafiq, M. ., Renzi, C. ., Rous, B. ., … Lyratzopoulos, G. . (2024). Differences in recording of cancer diagnosis between datasets in England: A population-based study of linked cancer registration, hospital, and primary care data. Cancer Epidemiol, 94, 102703. http://doi.org/10.1016/j.canep.2024.102703
Berglund, M. ., Gonzalez-Izquierdo, A. ., Denaxas, S. ., Lethebe, B. C., Sajobi, T. T., Engbers, J. D. T., … Josephson, C. B. (2024). Excess health care use is significantly and persistently reduced following diagnosis of late-onset epilepsy. Epilepsia. http://doi.org/10.1111/epi.18105
White, B. ., Zakkak, N. ., Renzi, C. ., Rafiq, M. ., Gonzalez-Izquierdo, A. ., Denaxas, S. ., … Barclay, M. . (2024). Underlying disease risk among fatigued patients: a population-based cohort study in primary care. Br J Gen Pract. http://doi.org/10.3399/bjgp.2024.0093
Barclay, M. ., Renzi, C. ., Antoniou, A. ., Denaxas, S. ., Harrison, H. ., Ip, S. ., … Lyratzopoulos, G. . (2023). Phenotypes and rates of cancer-relevant symptoms and tests in the year before cancer diagnosis in UK Biobank and CPRD Gold. PLOS Digit Health, 2, e0000383. http://doi.org/10.1371/journal.pdig.0000383
Graul, E. L., Stone, P. W., Massen, G. M., Hatam, S. ., Adamson, A. ., Denaxas, S. ., … Quint, J. K. (2023). Determining prescriptions in electronic healthcare record data: methods for development of standardized, reproducible drug codelists. JAMIA Open, 6, ooad078. http://doi.org/10.1093/jamiaopen/ooad078
Prugger, C. ., Perier, M. C., Gonzalez-Izquierdo, A. ., Hemingway, H. ., Denaxas, S. ., & Empana, J. P. (2023). Incidence of 12 common cardiovascular diseases and subsequent mortality risk in the general population. Eur J Prev Cardiol. http://doi.org/10.1093/eurjpc/zwad192
Josephson, C. B., Gonzalez-Izquierdo, A. ., Denaxas, S. ., Sajobi, T. T., Klein, K. M., & Wiebe, S. . (2023). Independent Associations of Incident Epilepsy and Enzyme-Inducing and Non-Enzyme-Inducing Antiseizure Medications With the Development of Osteoporosis. JAMA Neurol. http://doi.org/10.1001/jamaneurol.2023.1580
Banerjee, A. ., Dashtban, A. ., Chen, S. ., Pasea, L. ., Thygesen, J. H., Fatemifar, G. ., … Hemingway, H. . (2023). Identifying subtypes of heart failure from three electronic health record sources with machine learning: an external, prognostic, and genetic validation study. Lancet Digit Health, 5, e370-e379. http://doi.org/10.1016/s2589-7500(23)00065-1
Voss, E. A., Shoaibi, A. ., Lai, Y. H., Blacketer, C. ., Alshammari, T. ., Makadia, R. ., … Ryan, P. B. (2023). Contextualising adverse events of special interest to characterise the baseline incidence rates in 24 million patients with COVID-19 across 26 databases: a multinational retrospective cohort study. EClinicalMedicine, 58, 101932. http://doi.org/10.1016/j.eclinm.2023.101932