Connection
Tessa Crume to Prevalence
This is a "connection" page, showing publications Tessa Crume has written about Prevalence.
|
|
Connection Strength |
|
|
|
|
|
0.684 |
|
|
|
-
Duca LM, Pyle L, Khanna AD, Ong T, Kahn MG, DiGuiseppi C, Scott K, Daley MF, Costa E, Davidson AJ, Crume TL. Estimating the prevalence of congenital heart disease among adolescents and adults in Colorado adjusted for incomplete case ascertainment. Am Heart J. 2020 03; 221:95-105.
Score: 0.112
-
Khanna AD, Duca LM, Kay JD, Shore J, Kelly SL, Crume T. Prevalence of Mental Illness in Adolescents and Adults With Congenital Heart Disease from the Colorado Congenital Heart Defect Surveillance System. Am J Cardiol. 2019 08 15; 124(4):618-626.
Score: 0.108
-
Crume T. Tobacco Use During Pregnancy. Clin Obstet Gynecol. 2019 03; 62(1):128-141.
Score: 0.106
-
Crume TL, Juhl AL, Brooks-Russell A, Hall KE, Wymore E, Borgelt LM. Cannabis Use During the Perinatal Period in a State With Legalized Recreational and Medical Marijuana: The Association Between Maternal Characteristics, Breastfeeding Patterns, and Neonatal Outcomes. J Pediatr. 2018 06; 197:90-96.
Score: 0.099
-
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: 0.089
-
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: 0.037
-
Singh A, Sontag MK, Zhou M, Dasgupta M, Crume T, McLemore M, Galadanci N, Randall E, Steiner N, Brandow AM, Koch K, Field JJ, Hassell K, Snyder AB, Kanter J. Evaluating the Discriminatory Ability of the Sickle Cell Data Collection Program's Administrative Claims Case Definition in Identifying Adults With Sickle Cell Disease: Validation Study. JMIR Public Health Surveill. 2023 06 28; 9:e42816.
Score: 0.036
-
Lui GK, Sommerhalter K, Xi Y, Botto LD, Crume T, Farr S, Feldkamp ML, Glidewell J, Hsu D, Khanna A, Krikov S, Li J, Raskind-Hood C, Sarno L, Van Zutphen AR, Zaidi A, Soim A, Book WM. Health Care Usage Among Adolescents With Congenital Heart Defects at 5 Sites in the United States, 2011 to 2013. J Am Heart Assoc. 2022 09 20; 11(18):e026172.
Score: 0.034
-
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: 0.027
-
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: 0.019
-
Maligie M, Crume T, Scherzinger A, Stamm E, Dabelea D. Adiposity, fat patterning, and the metabolic syndrome among diverse youth: the EPOCH study. J Pediatr. 2012 Nov; 161(5):875-80.
Score: 0.017
|
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.
|