 Connection
Andrea Steck to Blood Glucose Self-Monitoring
This is a "connection" page, showing publications Andrea Steck has written about Blood Glucose Self-Monitoring.
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Connection Strength |
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0.899 |
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Steck AK, Dong F, Taki I, Hoffman M, Simmons K, Frohnert BI, Rewers MJ. Continuous Glucose Monitoring Predicts Progression to Diabetes in Autoantibody Positive Children. J Clin Endocrinol Metab. 2019 08 01; 104(8):3337-3344.
Score: 0.411
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Calhoun P, Spanbauer C, Steck AK, Frohnert BI, Herman MA, Keymeulen B, Veijola R, Toppari J, Desouter A, Gorus F, Atkinson M, Wilson DM, Pietropaolo S, Beck RW. Continuous glucose monitor metrics from five studies identify participants at risk for type 1 diabetes development. Diabetologia. 2025 May; 68(5):930-939.
Score: 0.151
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Steck AK, Dong F, Geno Rasmussen C, Bautista K, Sepulveda F, Baxter J, Yu L, Frohnert BI, Rewers MJ. CGM Metrics Predict Imminent Progression to Type 1 Diabetes: Autoimmunity Screening for Kids (ASK) Study. Diabetes Care. 2022 02 01; 45(2):365-371.
Score: 0.122
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Chan CL, Taki I, Dong F, Hoffman M, Norris JM, Klingensmith G, Rewers MJ, Steck AK. Comparison of Metabolic Outcomes in Children Diagnosed with Type 1 Diabetes Through Research Screening (Diabetes Autoimmunity Study in the Young [DAISY]) Versus in the Community. Diabetes Technol Ther. 2015 Sep; 17(9):649-56.
Score: 0.077
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Steck AK, Dong F, Taki I, Hoffman M, Klingensmith GJ, Rewers MJ. Early hyperglycemia detected by continuous glucose monitoring in children at risk for type 1 diabetes. Diabetes Care. 2014 Jul; 37(7):2031-3.
Score: 0.071
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Ylescupidez A, Speake C, Pietropaolo SL, Wilson DM, Steck AK, Sherr JL, Gaglia JL, Bender C, Lord S, Greenbaum CJ. OGTT Metrics Surpass Continuous Glucose Monitoring Data for T1D Prediction in Multiple-Autoantibody-Positive Individuals. J Clin Endocrinol Metab. 2023 12 21; 109(1):57-67.
Score: 0.035
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Wilson DM, Pietropaolo SL, Acevedo-Calado M, Huang S, Anyaiwe D, Scheinker D, Steck AK, Vasudevan MM, McKay SV, Sherr JL, Herold KC, Dunne JL, Greenbaum CJ, Lord SM, Haller MJ, Schatz DA, Atkinson MA, Nelson PW, Pietropaolo M. CGM Metrics Identify Dysglycemic States in Participants From the TrialNet Pathway to Prevention Study. Diabetes Care. 2023 03 01; 46(3):526-534.
Score: 0.033
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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