Ngā hua rapu - Oram, Richard

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  1. 1
    Beta cells in type 1 diabetes: mass and function; sleeping or dead?

    Beta cells in type 1 diabetes: mass and function; sleeping or dead? mā Oram, Richard A., Sims, Emily K., Evans-Molina, Carmella

    I whakaputaina 2019
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  2. 2
    Type 1 diabetes

    Type 1 diabetes mā DiMeglio, Linda A, Evans-Molina, Carmella, Oram, Richard A

    I whakaputaina 2018
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  3. 3
    Clinical and research uses of genetic risk scores in type 1 diabetes

    Clinical and research uses of genetic risk scores in type 1 diabetes mā Sharp, Seth A, Weedon, Michael N, Hagopian, William A, Oram, Richard A

    I whakaputaina 2018
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  4. 4
    RET gene mutations are not a common cause of congenital solitary functioning kidney in adults

    RET gene mutations are not a common cause of congenital solitary functioning kidney in adults mā Oram, Richard A., Edghill, Emma L., Woolf, Adrian S., Hennekam, R. C., Ellard, Sian, Hattersley, A. T., Bingham, Coralie

    I whakaputaina 2009
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  5. 5
    Frequency and phenotype of type 1 diabetes in the first six decades of life: a cross-sectional, genetically stratified survival analysis from UK Biobank

    Frequency and phenotype of type 1 diabetes in the first six decades of life: a cross-sectional, genetically stratified survival analysis from UK Biobank mā Thomas, Nicholas J, Jones, Samuel E, Weedon, Michael N, Shields, Beverley M, Oram, Richard A, Hattersley, Andrew T

    I whakaputaina 2018
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  6. 6
    100 years of insulin: celebrating the past, present and future of diabetes therapy

    100 years of insulin: celebrating the past, present and future of diabetes therapy mā Sims, Emily K., Carr, Alice L. J., Oram, Richard A., DiMeglio, Linda A., Evans-Molina, Carmella

    I whakaputaina 2021
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  7. 7
    Measurement of Peak C-Peptide at Diagnosis Informs Glycemic Control but not Hypoglycemia in Adults With Type 1 Diabetes

    Measurement of Peak C-Peptide at Diagnosis Informs Glycemic Control but not Hypoglycemia in Adults With Type 1 Diabetes mā Carr, Alice L J, Oram, Richard A, Marren, Shannon M, McDonald, Timothy J, Narendran, Parth, Andrews, Robert C

    I whakaputaina 2021
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  8. 8
    The clinical consequences of heterogeneity within and between different diabetes types

    The clinical consequences of heterogeneity within and between different diabetes types mā Redondo, Maria J., Hagopian, William A., Oram, Richard, Steck, Andrea K., Vehik, Kendra, Weedon, Michael, Balasubramanyam, Ashok, Dabelea, Dana

    I whakaputaina 2020
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  9. 9
    A Type 1 diabetes genetic risk score can aid discrimination between Type 1 and Type 2 diabetes in young adults

    A Type 1 diabetes genetic risk score can aid discrimination between Type 1 and Type 2 diabetes in young adults mā Oram, Richard A, Patel, Kashyap, Hill, Anita, Shields, Beverley, McDonald, Timothy J, Jones, Angus, Hattersley, Andrew T, Weedon, Michael N

    I whakaputaina 2015
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  10. 10
    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

    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... mā Lynam, Anita L., Dennis, John M., Owen, Katharine R., Oram, Richard A., Jones, Angus G., Shields, Beverley M., Ferrat, Lauric A.

    I whakaputaina 2020
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  11. 11
    Estimation of Early Graft Function Using the BETA-2 Score Following Clinical Islet Transplantation

    Estimation of Early Graft Function Using the BETA-2 Score Following Clinical Islet Transplantation mā Lam, Anna, Oram, Richard A., Forbes, Shareen, Olateju, Tolu, Malcolm, Andrew J., Imes, Sharleen, Shapiro, A. M. James, Senior, Peter A.

    I whakaputaina 2022
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  12. 12
    Studies of insulin and proinsulin in pancreas and serum support the existence of aetiopathological endotypes of type 1 diabetes associated with age at diagnosis

    Studies of insulin and proinsulin in pancreas and serum support the existence of aetiopathological endotypes of type 1 diabetes associated with age at diagnosis mā Leete, Pia, Oram, Richard A., McDonald, Timothy J., Shields, Beverley M., Ziller, Clemens, Hattersley, Andrew T., Richardson, Sarah J., Morgan, Noel G.

    I whakaputaina 2020
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  13. 13
    Age of diagnosis does not alter the presentation or progression of robustly defined adult-onset type 1 diabetes

    Age of diagnosis does not alter the presentation or progression of robustly defined adult-onset type 1 diabetes mā Thomas, Nicholas.J, Hill, Anita.V, Dayan, Colin.M, Oram, Richard.A, McDonald, Timothy.J, Shields, Beverley.M, Jones, Angus.G

    I whakaputaina 2023
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  14. 14
    Urine C-peptide creatinine ratio can be used to assess insulin resistance and insulin production in people without diabetes: an observational study

    Urine C-peptide creatinine ratio can be used to assess insulin resistance and insulin production in people without diabetes: an observational study mā Oram, Richard A, Rawlingson, Andrew, Shields, Beverley M, Bingham, Coralie, Besser, Rachel E J, McDonald, Tim J, Knight, Bridget A, Hattersley, Andrew T

    I whakaputaina 2013
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  15. 15
    Development and validation of multivariable clinical diagnostic models to identify type 1 diabetes requiring rapid insulin therapy in adults aged 18–50 years

    Development and validation of multivariable clinical diagnostic models to identify type 1 diabetes requiring rapid insulin therapy in adults aged 18–50 years mā Lynam, Anita, McDonald, Timothy, Hill, Anita, Dennis, John, Oram, Richard, Pearson, Ewan, Weedon, Michael, Hattersley, Andrew, Owen, Katharine, Shields, Beverley, Jones, Angus

    I whakaputaina 2019
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  16. 16
    Methods for quick, accurate and cost-effective determination of the type 1 diabetes genetic risk score (T1D-GRS)

    Methods for quick, accurate and cost-effective determination of the type 1 diabetes genetic risk score (T1D-GRS) mā Locke, Jonathan M., Latten, Mark J., Datta, Renu Y., Wood, Andrew R., Crockard, Martin A., Lamont, John V., Weedon, Michael N., Oram, Richard A.

    I whakaputaina 2020
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  17. 17
    The majority of patients with long-duration type 1 diabetes are insulin microsecretors and have functioning beta cells

    The majority of patients with long-duration type 1 diabetes are insulin microsecretors and have functioning beta cells mā Oram, Richard A., Jones, Angus G., Besser, Rachel E. J., Knight, Bridget A., Shields, Beverley M., Brown, Richard J., Hattersley, Andrew T., McDonald, Timothy J.

    I whakaputaina 2013
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  18. 18
    Erratum to: The majority of patients with long-duration type 1 diabetes are insulin microsecretors and have functioning beta cells

    Erratum to: The majority of patients with long-duration type 1 diabetes are insulin microsecretors and have functioning beta cells mā Oram, Richard A., Jones, Angus G., Besser, Rachel E. J., Knight, Bridget A., Shields, Beverley M., Brown, Richard J., Hattersley, Andrew T., McDonald, Timothy J.

    I whakaputaina 2013
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  19. 19
    Capturing the real‐world benefit of residual β‐cell function during clinically important time‐periods in established Type 1 diabetes

    Capturing the real‐world benefit of residual β‐cell function during clinically important time‐periods in established Type 1 diabetes mā Taylor, Guy S., Shaw, Andy C., Smith, Kieran, Wason, James, McDonald, Timothy J., Oram, Richard A., Stevenson, Emma, Shaw, James A. M., West, Daniel J.

    I whakaputaina 2022
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  20. 20
    C-peptide decline in type 1 diabetes has two phases: an initial exponential fall and a subsequent stable phase

    C-peptide decline in type 1 diabetes has two phases: an initial exponential fall and a subsequent stable phase mā Shields, Beverley M, McDonald, Timothy J, Oram, Richard, Hill, Anita, Hudson, Michelle, Leete, Pia, Pearson, Ewan R, Richardson, Sarah J, Morgan, Noel G, Hattersley, Andrew T

    I whakaputaina 2018
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