Oram, Richard A.

Type 1 diabetes

DiMeglio, L. A., Evans-Molina, C., & Oram, R. A. (2018) · The Lancet

Diabetes and associated disordersDiabetes Management and Research

Cited by 1,561

Global incidence, prevalence, and mortality of type 1 diabetes in 2021 with projection to 2040: a modelling study

Gregory, G. A., Robinson, T. I. G., Linklater, S. E., Wang, F., Colagiuri, S., de Beaufort, C., Donaghue, K. C., Harding, J. L., Wander, P. L., Zhang, X., et al. (2022) · The Lancet Diabetes & Endocrinology

Diabetes Management and ResearchDiabetes and associated disorders

Cited by 1,149

A foundation model for generalizable disease detection from retinal images

Zhou, Y., Chia, M. A., Wagner, S. K., Ayhan, M. S., Williamson, D. J., Struyven, R. R., Liu, T., Xu, M., Lozano, M. G., Woodward-Court, P., et al. (2023) · Nature

Retinal Imaging and AnalysisOphthalmology and Visual Health Research

Cited by 1,014

Frequency and phenotype of type 1 diabetes in the first six decades of life: a cross-sectional, genetically stratified survival analysis from UK Biobank

Thomas, N. J., Jones, S. E., Weedon, M. N., Shields, B. M., Oram, R. A., & Hattersley, A. T. (2018) · The Lancet Diabetes & Endocrinology

Diabetes and associated disordersGenetic Associations and Epidemiology

Cited by 417

Development and standardization of an improved type 1 diabetes genetic risk score for use in newborn screening and incident diagnosis

Sharp, S. A., Rich, S. S., Wood, A. R., Jones, S. E., Beaumont, R. N., Harrison, J. W., Schneider, D. A., Locke, J. M., Tyrrell, J., Weedon, M. N., et al. (2019) · Diabetes Care

Diabetes and associated disordersGenetic Associations and Epidemiology

Cited by 366

Introducing the Endotype Concept to Address the Challenge of Disease Heterogeneity in Type 1 Diabetes

Battaglia, M., Ahmed, S., Anderson, M. S., Atkinson, M. A., Becker, D., Bingley, P. J., Bosi, E., Brusko, T. M., DiMeglio, L. A., Evans-Molina, C., et al. (2020) · Diabetes Care

Diabetes and associated disordersDiabetes Management and Research

Cited by 351

The majority of patients with long-duration type 1 diabetes are insulin microsecretors and have functioning beta cells

Oram, R. A., Jones, A. G., Besser, R. E. J., Knight, B. A., Shields, B. M., Brown, R. J., Hattersley, A. T., & McDonald, T. J. (2014) · Diabetologia

Diabetes and associated disordersPancreatic function and diabetes

Cited by 298

100 years of insulin: celebrating the past, present and future of diabetes therapy

Sims, E. K., Carr, A. L. J., Oram, R. A., DiMeglio, L. A., & Evans-Molina, C. (2021) · Nature Medicine

Diabetes Management and ResearchDiabetes Treatment and Management

Cited by 270

Systematic population screening, using biomarkers and genetic testing, identifies 2.5% of the U.K. pediatric diabetes population with monogenic diabetes

Shepherd, M., Shields, B., Hammersley, S., Hudson, M., McDonald, T. J., Colclough, K., Oram, R. A., Knight, B., Hyde, C., Cox, J., et al. (2016) · Diabetes Care

Diabetes and associated disordersPancreatic function and diabetes

Cited by 236

Type 1 diabetes defined by severe insulin deficiency occurs after 30 years of age and is commonly treated as type 2 diabetes

Thomas, N. J., Lynam, A. L., Hill, A. V., Weedon, M. N., Shields, B. M., Oram, R. A., McDonald, T. J., Hattersley, A. T., & Jones, A. G. (2019) · Diabetologia

Diabetes and associated disordersDiabetes Management and Research

Cited by 183

Genetic scores to stratify risk of developing multiple islet autoantibodies and type 1 diabetes: a prospective study in children

Bonifacio, E., Beyerlein, A., Hippich, M., Winkler, C., Vehik, K., Weedon, M. N., Laimighofer, M., Hattersley, A. T., Krumsiek, J., Frohnert, B. I., et al. (2018) · PLOS Medicine

Diabetes and associated disordersGenetic Associations and Epidemiology

Cited by 148

A combined risk score enhances prediction of type 1 diabetes among susceptible children

Ferrat, L. A., Vehik, K., Sharp, S. A., Lernmark, Å., Rewers, M. J., She, J.-X., Ziegler, A.-G., Toppari, J., Akolkar, B., Krischer, J. P., et al. (2020) · Nature Medicine

Diabetes and associated disordersDiabetes Management and Research

Cited by 148

Logistic regression has similar performance to optimised machine learning algorithms in a clinical setting: application to the discrimination between type 1 and type 2 diabetes in young adults

Lynam, A. L., Dennis, J. M., Owen, K. R., Oram, R. A., Jones, A. G., Shields, B. M., & Ferrat, L. A. (2020) · Diagnostic and Prognostic Research

Artificial Intelligence in HealthcareStatistical Methods in Epidemiology

Cited by 142

Most people with long-duration type 1 diabetes in a large population-based study are insulin microsecretors

Oram, R. A., McDonald, T. J., Shields, B. M., Hudson, M. M., Shepherd, M. H., Hammersley, S., Pearson, E. R., Hattersley, A. T., & on behalf of the UNITED Team (2015) · Diabetes Care

Diabetes and associated disordersDiabetes Management and Research

Cited by 133

Practical classification guidelines for diabetes in patients treated with insulin: a cross-sectional study of the accuracy of diabetes diagnosis

Hope, S. V., Wienand-Barnett, S., Shepherd, M., King, S. M., Fox, C., Khunti, K., Oram, R. A., Knight, B. A., Hattersley, A. T., Jones, A. G., et al. (2016) · British Journal of General Practice

Diabetes and associated disordersDiabetes Management and Research

Cited by 87

Utility of genetic risk scores in type 1 diabetes

Luckett, A. M., Weedon, M. N., Hawkes, G., Leslie, R. D., Oram, R. A., & Grant, S. F. A. (2023) · Diabetologia

Diabetes and associated disordersGenetic Associations and Epidemiology

Cited by 80

Development and validation of multivariable clinical diagnostic models to identify type 1 diabetes requiring rapid insulin therapy in adults aged 18-50 years

Lynam, A., McDonald, T., Hill, A., Dennis, J., Oram, R., Pearson, E., Weedon, M., Hattersley, A., Owen, K., Shields, B., et al. (2019) · BMJ Open

Diabetes and associated disordersDiabetes Management and Research

Cited by 72

Effective interventions in preventing gestational diabetes mellitus: A systematic review and meta-analysis

Takele, W. W., Vesco, K. K., Josefson, J., Redman, L. M., Hannah, W., Bonham, M. P., Chen, M., Chivers, S. C., Fawcett, A. J., Grieger, J. A., et al. (2024) · Communications Medicine

Gestational Diabetes Research and ManagementDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 55

Urine C-peptide creatinine ratio can be used to assess insulin resistance and insulin production in people without diabetes: an observational study

Oram, R. A., Rawlingson, A., Shields, B. M., Bingham, C., Besser, R. E. J., McDonald, T. J., Knight, B. A., & Hattersley, A. T. (2013) · BMJ Open

Diabetes, Cardiovascular Risks, and LipoproteinsDiabetes Management and Research

Cited by 25

A Golden Hour and Golden Opportunity for β-Cell Preservation

Evans-Molina, C., & Oram, R. A. (2024) · Diabetes

Pancreatic function and diabetesDiabetes and associated disorders

Cited by 10