Search Results - Craig Kollman

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  1. 1
    Use of Continuous Glucose Monitoring as an Outcome Measure in Clinical Trials

    Use of Continuous Glucose Monitoring as an Outcome Measure in Clinical Trials by Roy W. Beck, Peter Calhoun, Craig Kollman

    Published 2012
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  2. 2
    The Association of Biochemical Hypoglycemia with the Subsequent Risk of a Severe Hypoglycemic Event: Analysis of the DCCT Data Set

    The Association of Biochemical Hypoglycemia with the Subsequent Risk of a Severe Hypoglycemic Event: Analysis of the DCCT Data Set by Roy W. Beck, Richard M. Bergenstal, Tonya D. Riddlesworth, Craig Kollman

    Published 2018
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  3. 3
    Unrelated marrow transplantation for adult patients with poor-risk acute lymphoblastic leukemia: strong graft-versus-leukemia effect and risk factors determining outcome

    Unrelated marrow transplantation for adult patients with poor-risk acute lymphoblastic leukemia: strong graft-versus-leukemia effect and risk factors determining outcome by Jan J. Cornelissen, Michael J. Carston, Craig Kollman, Roberta King, A. W. Dekker, Bob Löwenberg, Claudio Anasetti

    Published 2001
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  4. 4
    Response to Nocturnal Alarms Using a Real-Time Glucose Sensor

    Response to Nocturnal Alarms Using a Real-Time Glucose Sensor by Bruce A. Buckingham, Jen Block, Jonathan Burdick, Andrea Kalajian, Craig Kollman, Michael Choy, Darrell M. Wilson, Peter Chase

    Published 2005
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  5. 5
    Obesity without Established Comorbidities of the Metabolic Syndrome Is Associated with a Proinflammatory and Prothrombotic State, Even before the Onset of Puberty in Children

    Obesity without Established Comorbidities of the Metabolic Syndrome Is Associated with a Proinflammatory and Prothrombotic State, Even before the Onset of Puberty in Children by Nelly Mauras, Charles DelGiorno, Craig Kollman, Keisha Bird, Melissa A. Morgan, Shawn Sweeten, Prabhakaran Balagopal, Ligeia Damaso

    Published 2010
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  6. 6
    Validation of Time in Range as an Outcome Measure for Diabetes Clinical Trials

    Validation of Time in Range as an Outcome Measure for Diabetes Clinical Trials by Roy W. Beck, Richard M. Bergenstal, Tonya D. Riddlesworth, Craig Kollman, Zhaomian Li, Adam S. Brown, Kelly L. Close

    Published 2018
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  7. 7
    The Relationships Between Time in Range, Hyperglycemia Metrics, and HbA1c

    The Relationships Between Time in Range, Hyperglycemia Metrics, and HbA1c by Roy W. Beck, Richard M. Bergenstal, Peiyao Cheng, Craig Kollman, Anders L. Carlson, Mary L. Johnson, David Rodbard

    Published 2019
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  8. 8
    Individual glucose responses to prolonged moderate intensity aerobic exercise in adolescents with type 1 diabetes: The higher they start, the harder they fall

    Individual glucose responses to prolonged moderate intensity aerobic exercise in adolescents with type 1 diabetes: The higher they start, the harder they fall by Michael C. Riddell, Dessi P. Zaharieva, Michael Tansey, Eva Tsalikian, Gil Admon, Zoey Li, Craig Kollman, Roy W. Beck

    Published 2018
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  9. 9
    8/8 and 10/10 High-Resolution Match Rate for the Be The Match Unrelated Donor Registry

    8/8 and 10/10 High-Resolution Match Rate for the Be The Match Unrelated Donor Registry by Jason Dehn, Kelly Buck, Martin Maiers, Dennis L. Confer, Robert J. Hartzman, Craig Kollman, Alexander H. Schmidt, Soo Young Yang, Michelle Setterholm

    Published 2014
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  10. 10
    Effect of HLA class II gene disparity on clinical outcome in unrelated donor hematopoietic cell transplantation for chronic myeloid leukemia: the US National Marrow Donor Program Experience

    Effect of HLA class II gene disparity on clinical outcome in unrelated donor hematopoietic cell transplantation for chronic myeloid leukemia: the US National Marrow Donor Program E... by Effie W. Petersdorf, Craig Kollman, Carolyn Katovich Hurley, Bo Dupont, Auayporn Nademanee, Ann B. Begovich, Daniel J. Weisdorf, Philip B. McGlave

    Published 2001
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  11. 11
    A Meta-Analysis of Randomized Trial Outcomes for the t:slim X2 Insulin Pump with Control-IQ Technology in Youth and Adults from Age 2 to 72

    A Meta-Analysis of Randomized Trial Outcomes for the t:slim X2 Insulin Pump with Control-IQ Technology in Youth and Adults from Age 2 to 72 by Roy W. Beck, Lauren G. Kanapka, Marc D. Breton, Sue A. Brown, R. Paul Wadwa, Bruce A. Buckingham, Craig Kollman, Boris Kovatchev

    Published 2023
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  12. 12
    Observational Study of the Development of Diabetic Macular Edema Following Panretinal (Scatter) Photocoagulation Given in 1 or 4 Sittings

    Observational Study of the Development of Diabetic Macular Edema Following Panretinal (Scatter) Photocoagulation Given in 1 or 4 Sittings by Brucker Aj, Hong Qin, Antoszyk An, Beck Rw, Bressler Nm, Browning DJ, Michael J. Elman, Adam R. Glassman, Gross Jg, Craig Kollman, Wells Ja

    Published 2009
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  13. 13
    Allogeneic bone marrow transplantation for chronic myelogenous leukemia: comparative analysis of unrelated versus matched sibling donor transplantation

    Allogeneic bone marrow transplantation for chronic myelogenous leukemia: comparative analysis of unrelated versus matched sibling donor transplantation by Daniel J. Weisdorf, Claudio Anasetti, Joseph H. Antin, Nancy A. Kernan, Craig Kollman, David S. Snyder, Effie W. Petersdorf, Gene Nelson, Philip B. McGlave

    Published 2002
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  14. 14
    Feasibility of prolonged continuous glucose monitoring in toddlers with type 1 diabetes

    Feasibility of prolonged continuous glucose monitoring in toddlers with type 1 diabetes by Eva Tsalikian, Larry A. Fox, Stuart A. Weinzimer, Bruce A. Buckingham, Neil H. White, Roy W. Beck, Craig Kollman, Dongyuan Xing, Katrina J. Ruedy

    Published 2011
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  15. 15
    Day-and-Night Hybrid Closed-Loop Insulin Delivery in Adolescents With Type 1 Diabetes: A Free-Living, Randomized Clinical Trial

    Day-and-Night Hybrid Closed-Loop Insulin Delivery in Adolescents With Type 1 Diabetes: A Free-Living, Randomized Clinical Trial by Martin Tauschmann, Janet M. Allen, Malgorzata E. Wilinska, Hood Thabit, Zoe A. Stewart, Peiyao Cheng, Craig Kollman, Carlo L. Acerini, David B. Dunger, Roman Hovorka

    Published 2015
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  16. 16
    The Accuracy of the FreeStyle Navigator Continuous Glucose Monitoring System in Children With Type 1 Diabetes

    The Accuracy of the FreeStyle Navigator Continuous Glucose Monitoring System in Children With Type 1 Diabetes by Darrell M. Wilson, Roy W. Beck, William V. Tamborlane, Mariya Dontchev, Craig Kollman, Peter Chase, Larry A. Fox, Katrina J. Ruedy, Eva Tsalikian, Stuart A. Weinzimer

    Published 2006
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  17. 17
    A Randomized Clinical Trial to Assess the Efficacy and Safety of Real-Time Continuous Glucose Monitoring in the Management of Type 1 Diabetes in Young Children Aged 4 to <10 Years

    A Randomized Clinical Trial to Assess the Efficacy and Safety of Real-Time Continuous Glucose Monitoring in the Management of Type 1 Diabetes in Young Children Aged 4 to <10... by Nelly Mauras, Roy W. Beck, Dongyuan Xing, Katrina J. Ruedy, Bruce A. Buckingham, Michael Tansey, Neil H. White, Stuart A. Weinzimer, William V. Tamborlane, Craig Kollman

    Published 2011
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  18. 18
    Comparison of fingerstick hemoglobin A1c levels assayed by DCA 2000 with the DCCT/EDIC central laboratory assay: results of a Diabetes Research in Children Network (DirecNet) Study

    Comparison of fingerstick hemoglobin A1c levels assayed by DCA 2000 with the DCCT/EDIC central laboratory assay: results of a Diabetes Research in Children Network (DirecNet) Study by William V. Tamborlane, Craig Kollman, Michael W. Steffes, Katrina J. Ruedy, Xing Dongyuan, Roy W. Beck, Peter Chase, Larry A. Fox, Darrell M. Wilson, Eva Tsalikian

    Published 2005
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  19. 19
    Pediatric Diabetes Consortium Type 1 Diabetes New Onset (NeOn) Study: factors associated with HbA1c levels one year after diagnosis

    Pediatric Diabetes Consortium Type 1 Diabetes New Onset (NeOn) Study: factors associated with HbA1c levels one year after diagnosis by María J. Redondo, Crystal G. Connor, Katrina J. Ruedy, Roy W. Beck, Craig Kollman, Jamie Wood, Bruce A. Buckingham, Georgeanna J. Klingensmith, Janet Silverstein, William V. Tamborlane

    Published 2013
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  20. 20
    CGM-measured glucose values have a strong correlation with C-peptide, HbA1c and IDAAC, but do poorly in predicting C-peptide levels in the two years following onset of diabetes

    CGM-measured glucose values have a strong correlation with C-peptide, HbA1c and IDAAC, but do poorly in predicting C-peptide levels in the two years following onset of diabetes by Bruce A. Buckingham, Peiyao Cheng, Roy W. Beck, Craig Kollman, Katrina J. Ruedy, Stuart A. Weinzimer, Robert H. Slover, Andrew A. Bremer, John S. Fuqua, William V. Tamborlane

    Published 2015
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