Search Results - "Rodbard, David"

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  1. 1

    Continuous Glucose Monitoring: A Review of Successes, Challenges, and Opportunities by Rodbard, David

    Published in Diabetes technology & therapeutics (01-02-2016)
    “…Continuous glucose monitoring (CGM) provides information unattainable by intermittent capillary blood glucose, including instantaneous real-time display of…”
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    Journal Article
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    Continuous Glucose Monitoring: A Review of Recent Studies Demonstrating Improved Glycemic Outcomes by Rodbard, David

    Published in Diabetes technology & therapeutics (01-06-2017)
    “…Continuous Glucose Monitoring (CGM) has been demonstrated to be clinically valuable, reducing risks of hypoglycemia and hyperglycemia, glycemic variability…”
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    Journal Article
  3. 3

    Interpretation of continuous glucose monitoring data: glycemic variability and quality of glycemic control by Rodbard, David

    Published in Diabetes technology & therapeutics (01-06-2009)
    “…There are a large number of measures of glycemic variability, including standard deviation (SD), percentage coefficient of variation (%CV), interquartile range…”
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    Journal Article
  4. 4

    New and improved methods to characterize glycemic variability using continuous glucose monitoring by Rodbard, David

    Published in Diabetes technology & therapeutics (01-09-2009)
    “…Glycemic variability is a possible risk factor for development of complications from diabetes. Numerous methods have been used to characterize glycemic…”
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    Journal Article
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    Hypo- and hyperglycemia in relation to the mean, standard deviation, coefficient of variation, and nature of the glucose distribution by Rodbard, David

    Published in Diabetes technology & therapeutics (01-10-2012)
    “…We describe a new approach to estimate the risks of hypo- and hyperglycemia based on the mean and SD of the glucose distribution using optional transformations…”
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  6. 6

    Characterizing Accuracy and Precision of Glucose Sensors and Meters by Rodbard, David

    Published in Journal of diabetes science and technology (01-09-2014)
    “…Background: There is need for a method to describe precision and accuracy of glucose measurement as a smooth continuous function of glucose level rather than…”
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    The Relationships Between Time in Range, Hyperglycemia Metrics, and HbA1c by Beck, Roy W., Bergenstal, Richard M., Cheng, Peiyao, Kollman, Craig, Carlson, Anders L., Johnson, Mary L., Rodbard, David

    Published in Journal of diabetes science and technology (01-07-2019)
    “…Background: As the use of continuous glucose monitoring (CGM) increases, there is a need to better understand key metrics of time in range 70-180 mg/dL…”
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    AMERICAN ASSOCIATION OF CLINICAL ENDOCRINOLOGISTS AND AMERICAN COLLEGE OF ENDOCRINOLOGY 2016 OUTPATIENT GLUCOSE MONITORING CONSENSUS STATEMENT by Bailey, Timothy S, Grunberger, George, Bode, Bruce W, Handelsman, Yehuda, Hirsch, Irl B, Jovanovič, Lois, Roberts, Victor Lawrence, Rodbard, David, Tamborlane, William V, Walsh, John

    Published in Endocrine practice (01-02-2016)
    “…This document represents the official position of the American Association of Clinical Endocrinologists and American College of Endocrinology. Where there were…”
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    Journal Article
  10. 10

    Glucose Variability: A Review of Clinical Applications and Research Developments by Rodbard, David

    Published in Diabetes technology & therapeutics (01-06-2018)
    “…Glycemic variability (GV) is a major consideration when evaluating quality of glycemic control. GV increases progressively from prediabetes through advanced…”
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    Journal Article
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    Continuous glucose monitoring metrics (Mean Glucose, time above range and time in range) are superior to glycated haemoglobin for assessment of therapeutic efficacy by Rodbard, David

    Published in Diabetes, obesity & metabolism (01-02-2023)
    “…Aim To evaluate continuous glucose monitoring (CGM) metrics for use as alternatives to glycated haemoglobin (HbA1c) to evaluate therapeutic efficacy. Methods…”
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  12. 12

    Quality of Glycemic Control: Assessment Using Relationships Between Metrics for Safety and Efficacy by Rodbard, David

    Published in Diabetes technology & therapeutics (01-10-2021)
    “…Numerous methods have been proposed as measures of quality of glycemic control resulting in confusion regarding the best choice of metric to use by clinicians…”
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    The Ambulatory Glucose Profile: Opportunities for Enhancement by Rodbard, David

    Published in Diabetes technology & therapeutics (01-05-2021)
    “…The ambulatory glucose profile (AGP) and the frequency distribution for glucose by ranges are well established as standard methods for display, analysis, and…”
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    Clinical Interpretation of Indices of Quality of Glycemic Control and Glycemic Variability by Rodbard, David

    Published in Postgraduate medicine (01-07-2011)
    “…The practicing physician is faced with the task of interpreting > 2 dozen indices of quality of glycemic control and glycemic variability. It would be…”
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    The challenges of measuring glycemic variability by Rodbard, David

    Published in Journal of diabetes science and technology (01-05-2012)
    “…This commentary reviews several of the challenges encountered when attempting to quantify glycemic variability and correlate it with risk of diabetes…”
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    Evaluating Quality of Glycemic Control: Graphical Displays of Hypo- and Hyperglycemia, Time in Target Range, and Mean Glucose by Rodbard, David

    Published in Journal of diabetes science and technology (01-01-2015)
    “…Background: There is need for readily understandable graphical displays of glucose data to facilitate interpretation by clinicians and researchers. Methods:…”
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