Search Results - Isaksen, Anders Aasted

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  1. 1
    Glucose‐lowering drug use in migrants and native Danes with type 2 diabetes: Disparities in combination therapy and drug types

    Glucose‐lowering drug use in migrants and native Danes with type 2 diabetes: Disparities in combination therapy and drug types by Isaksen, Anders Aasted, Sandbæk, Annelli, Skriver, Mette Vinther, Bjerg, Lasse

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  2. 2
    Gender disparities in time-to-initiation of cardioprotective glucose-lowering drugs in patients with type 2 diabetes and cardiovascular disease: a Danish nationwide cohort study

    Gender disparities in time-to-initiation of cardioprotective glucose-lowering drugs in patients with type 2 diabetes and cardiovascular disease: a Danish nationwide cohort study by Funck, Kristian Løkke, Bjerg, Lasse, Isaksen, Anders Aasted, Sandbæk, Annelli, Grove, Erik Lerkevang

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  3. 3
    Cohort profile: Health in Central Denmark (HICD) cohort - a register-based questionnaire survey on diabetes and related complications in the Central Denmark Region

    Cohort profile: Health in Central Denmark (HICD) cohort - a register-based questionnaire survey on diabetes and related complications in the Central Denmark Region by Bjerg, Lasse, Dalsgaard, Else-Marie, Norman, Kasper, Isaksen, Anders Aasted, Sandbæk, Annelli

    Published in BMJ open
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  4. 4
    Guideline-level monitoring, biomarker levels and pharmacological treatment in migrants and native Danes with type 2 diabetes: Population-wide analyses

    Guideline-level monitoring, biomarker levels and pharmacological treatment in migrants and native Danes with type 2 diabetes: Population-wide analyses by Isaksen, Anders Aasted, Sandbæk, Annelli, Skriver, Mette Vinther, Andersen, Gregers Stig, Bjerg, Lasse

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  5. 5
    Validation of Register-Based Diabetes Classifiers in Danish Data

    Validation of Register-Based Diabetes Classifiers in Danish Data by Isaksen, Anders Aasted, Sandbæk, Annelli, Bjerg, Lasse

    Published in Clinical epidemiology
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  6. 6
    Prediction of cardiovascular markers and diseases using retinal fundus images and deep learning: a systematic scoping review

    Prediction of cardiovascular markers and diseases using retinal fundus images and deep learning: a systematic scoping review by Li, Livie Yumeng, Isaksen, Anders Aasted, Lebiecka-Johansen, Benjamin, Funck, Kristian, Thambawita, Vajira, Byberg, Stine, Andersen, Tue Helms, Norgaard, Ole, Hulman, Adam

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