S. Denaxas

First name
S.
Last name
Denaxas
Dashtban, A., Mizani, M. A., Denaxas, S., Nitsch, D., Quint, J., Corbett, R., et al. (2022). A retrospective cohort study measured predicting and validating the impact of the COVID-19 pandemic in individuals with chronic kidney disease. Kidney Int. http://doi.org/10.1016/j.kint.2022.05.015
Chung, S. C., Providencia, R., Sofat, R., Pujades-Rodriguez, M., Torralbo, A., Fatemifar, G., et al. (2022). Incidence, morbidity, mortality and disparities in dementia: A population linked electronic health records study of 4.3 million individuals. Alzheimers Dement. http://doi.org/10.1002/alz.12635
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
Clarke, C. S., Williamson, E., Denaxas, S., Carpenter, J. R., Thomas, M., Blackshaw, H., et al. (2022). Observational retrospective study calculating health service costs of patients receiving surgery for chronic rhinosinusitis in England, using linked patient-level primary and secondary care electronic data. Bmj Open, 12, e055603. http://doi.org/10.1136/bmjopen-2021-055603
Wang, Z., Shah, A. D., Tate, A. R., Denaxas, S., Shawe-Taylor, J., & Hemingway, H. (2012). Extracting diagnoses and investigation results from unstructured text in electronic health records by semi-supervised machine learning. PLoS One. http://doi.org/10.1371/journal.pone.0030412
Warren-Gash, C., Hayward, A. C., Hemingway, H., Denaxas, S., Thomas, S. L., Timmis, A. D., et al. (2012). Influenza infection and risk of acute myocardial infarction in England and Wales: a CALIBER self-controlled case series study. J Infect Dis. http://doi.org/10.1093/infdis/jis597
Herrett, E., George, J., Denaxas, S., Bhaskaran, K., Timmis, A., Hemingway, H., & Smeeth, L. (2013). Type and timing of heralding in ST-elevation and non-ST-elevation myocardial infarction: an analysis of prospectively collected electronic healthcare records linked to the national registry of acute coronary syndromes. Eur Heart J Acute Cardiovasc Care. http://doi.org/10.1177/2048872613487495
Herrett, E., Shah, A. D., Boggon, R., Denaxas, S., Smeeth, L., Van Staa, T., et al. (2013). Completeness and diagnostic validity of recording acute myocardial infarction events in primary care, hospital care, disease registry, and national mortality records: cohort study. Bmj. http://doi.org/10.1136/bmj.f2350
Daskalopoulou, M., George, J., Walters, K., Osborn, D. P., Batty, G. D., Stogiannis, D., et al. (2016). Depression as a Risk Factor for the Initial Presentation of Twelve Cardiac, Cerebrovascular, and Peripheral Arterial Diseases: Data Linkage Study of 1.9 Million Women and Men. PLoS One. http://doi.org/10.1371/journal.pone.0153838
Jordan, K. P., Timmis, A., Croft, P., van der Windt, D. A., Denaxas, S., Gonzalez-Izquierdo, A., et al. (2017). Prognosis of undiagnosed chest pain: linked electronic health record cohort study. Bmj. http://doi.org/10.1136/bmj.j1194