C. Sudlow

First name
Last name
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
Eastwood, S. V., Mathur, R., Atkinson, M., Brophy, S., Sudlow, C., Flaig, R., et al. (2016). Algorithms for the Capture and Adjudication of Prevalent and Incident Diabetes in UK Biobank. PLoS One. http://doi.org/10.1371/journal.pone.0162388
Brown, A., Kirichek, O., Balkwill, A., Reeves, G., Beral, V., Sudlow, C., et al. (2016). Comparison of dementia recorded in routinely collected hospital admission data in England with dementia recorded in primary care. Emerg Themes Epidemiol. http://doi.org/10.1186/s12982-016-0053-z
Pujades-Rodriguez, M., Assi, V., Gonzalez-Izquierdo, A., Wilkinson, T., Schnier, C., Sudlow, C., et al. (2018). The diagnosis, burden and prognosis of dementia: A record-linkage cohort study in England. PLoS One. http://doi.org/10.1371/journal.pone.0199026
Denaxas, S., Gonzalez-Izquierdo, A., Direk, K., Fitzpatrick, N. K., Fatemifar, G., Banerjee, A., et al. (2019). UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER. J Am Med Inform Assoc. http://doi.org/10.1093/jamia/ocz105