Connection
Tessa Crume to Diabetes Mellitus, Type 2
This is a "connection" page, showing publications Tessa Crume has written about Diabetes Mellitus, Type 2.
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Connection Strength |
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1.333 |
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Crume TL, Hamman RF, Isom S, Divers J, Mayer-Davis EJ, Liese AD, Saydah S, Lawrence JM, Pihoker C, Dabelea D. The accuracy of provider diagnosed diabetes type in youth compared to an etiologic criteria in the SEARCH for Diabetes in Youth Study. Pediatr Diabetes. 2020 12; 21(8):1403-1411.
Score: 0.256
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Crume TL, Hamman RF, Isom S, Talton J, Divers J, Mayer-Davis EJ, Zhong VW, Liese AD, Saydah S, Standiford DA, Lawrence JM, Pihoker C, Dabelea D. Factors influencing time to case registration for youth with type 1?and type 2 diabetes: SEARCH for Diabetes in Youth Study. Ann Epidemiol. 2016 09; 26(9):631-7.
Score: 0.192
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Crume TL, Andrews JS, D'Agostino RB, Pettitt DJ, Mayer-Davis EJ, Law JR, Dolan L, Lawrence JM, Saydah S, Greenbaum C, Rodriguez BL, Dabelea D. The influence of exposure to maternal diabetes in utero on the rate of decline in ?-cell function among youth with diabetes. J Pediatr Endocrinol Metab. 2013; 26(7-8):721-7.
Score: 0.150
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Dabelea D, Crume T. Maternal environment and the transgenerational cycle of obesity and diabetes. Diabetes. 2011 Jul; 60(7):1849-55.
Score: 0.135
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Shao H, Thorpe LE, Islam S, Bian J, Guo Y, Li P, Bost S, Dabelea D, Conway R, Crume T, Schwartz BS, Hirsch AG, Allen KS, Dixon BE, Grannis SJ, Lustigova E, Reynolds K, Rosenman M, Zhong VW, Wong A, Rivera P, Le T, Akerman M, Conderino S, Rajan A, Liese AD, Rudisill C, Obeid JS, Ewing JA, Bailey C, Mendonca EA, Zaganjor I, Rolka D, Imperatore G, Pavkov ME, Divers J. Developing a Computable Phenotype for Identifying Children, Adolescents, and Young Adults With Diabetes Using Electronic Health Records in the DiCAYA Network. Diabetes Care. 2025 Jun 01; 48(6):914-921.
Score: 0.088
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Li P, Spector E, Alkhuzam K, Patel R, Donahoo WT, Bost S, Lyu T, Wu Y, Hogan W, Prosperi M, Dixon BE, Dabelea D, Utidjian LH, Crume TL, Thorpe L, Liese AD, Schatz DA, Atkinson MA, Haller MJ, Shenkman EA, Guo Y, Bian J, Shao H. Developing an automated algorithm for identification of children and adolescents with diabetes using electronic health records from the OneFlorida+ clinical research network. Diabetes Obes Metab. 2025 Jan; 27(1):102-110.
Score: 0.084
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Hirsch AG, Conderino S, Crume TL, Liese AD, Bellatorre A, Bendik S, Divers J, Anthopolos R, Dixon BE, Guo Y, Imperatore G, Lee DC, Reynolds K, Rosenman M, Shao H, Utidjian L, Thorpe LE. Using electronic health records to enhance surveillance of diabetes in children, adolescents and young adults: a study protocol for the DiCAYA Network. BMJ Open. 2024 01 17; 14(1):e073791.
Score: 0.080
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Li Y, Schmiege SJ, Anderson H, Richmond NE, Young KA, Hokanson JE, Rennard SI, Crume TL, Austin E, Pratte KA, Conway R, Kinney GL. Longitudinal Assessment of Multimorbidity Medication Patterns among Smokers in the COPDGene Cohort. Medicina (Kaunas). 2023 May 18; 59(5).
Score: 0.077
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Kim G, Divers J, Fino NF, Dabelea D, Lawrence JM, Reynolds K, Bell RA, Mayer-Davis E, Crume T, Pettitt DJ, Pihoker C, Liu L. Trends in prevalence of cardiovascular risk factors from 2002 to 2012 among youth early in the course of type 1 and type 2 diabetes. The SEARCH for Diabetes in Youth Study. Pediatr Diabetes. 2019 09; 20(6):693-701.
Score: 0.059
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The NS, Shay CM, Lamichhane AP, Crume TL, Crandell JL, Wang S, Dabelea D, Lawrence JM, Mayer-Davis EJ. Association between breastfeeding and insulin sensitivity among young people with Type 1 and Type 2 diabetes: the SEARCH Nutrition Ancillary Study. Diabet Med. 2016 10; 33(10):1452-5.
Score: 0.049
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Law JR, Stafford JM, D'Agostino RB, Badaru A, Crume TL, Dabelea D, Dolan LM, Lawrence JM, Pettitt DJ, Mayer-Davis EJ. Association of parental history of diabetes with cardiovascular disease risk factors in children with type 2 diabetes. J Diabetes Complications. 2015 May-Jun; 29(4):534-9.
Score: 0.043
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Li C, Beech B, Crume T, D'Agostino RB, Dabelea D, Kaar JL, Liese AD, Mayer-Davis EJ, Pate R, Pettitt DJ, Taplin C, Rodriguez B, Merchant AT. Longitudinal association between television watching and computer use and risk markers in diabetes in the SEARCH for Diabetes in Youth Study. Pediatr Diabetes. 2015 Aug; 16(5):382-91.
Score: 0.042
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Dabelea D, Mayer-Davis EJ, Saydah S, Imperatore G, Linder B, Divers J, Bell R, Badaru A, Talton JW, Crume T, Liese AD, Merchant AT, Lawrence JM, Reynolds K, Dolan L, Liu LL, Hamman RF. Prevalence of type 1 and type 2 diabetes among children and adolescents from 2001 to 2009. JAMA. 2014 May 07; 311(17):1778-86.
Score: 0.041
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Hilliard ME, Lawrence JM, Modi AC, Anderson A, Crume T, Dolan LM, Merchant AT, Yi-Frazier JP, Hood KK. Identification of minimal clinically important difference scores of the PedsQL in children, adolescents, and young adults with type 1 and type 2 diabetes. Diabetes Care. 2013 Jul; 36(7):1891-7.
Score: 0.038
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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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