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Page 1
Australasian Diabetes Data Network: Building a Collaborative Resource.
J Diabetes Sci Technol. 2016 Aug 22;10(5):1015-26. doi: 10.1177/1932296816648983. Print 2016 Sep.
J Diabetes Sci Technol. 2016.
PMID: 27257171
Free PMC article.
Low-density lipoprotein cholesterol in adolescents and young adults with type 1 diabetes: Data from the Australasian Diabetes Data Network registry.
James S, Donaghue KC, Perry L, Lowe J, Colman PG, Craig ME; Australasian Diabetes Data Network (ADDN) Study Group.
James S, et al.
Diabet Med. 2023 Nov;40(11):e15184. doi: 10.1111/dme.15184. Epub 2023 Jul 27.
Diabet Med. 2023.
PMID: 37467116
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Five heterogeneous HbA1c trajectories from childhood to adulthood in youth with type 1 diabetes from three different continents: A group-based modeling approach.
Clements MA, Schwandt A, Donaghue KC, Miller K, Lück U, Couper JJ, Foster N, Schröder C, Phelan H, Maahs D, Prinz N, Craig ME; Australasian Diabetes Data Network (ADDN) Study Group, the T1D Exchange Clinic Network (T1DX), and the German/Austrian/Luxembourgian Diabetes-Patienten-Verlaufsdokumentation (DPV) initiative.
Clements MA, et al.
Pediatr Diabetes. 2019 Nov;20(7):920-931. doi: 10.1111/pedi.12907. Epub 2019 Aug 28.
Pediatr Diabetes. 2019.
PMID: 31418521
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Glycaemic outcomes in Australasian children and adults with type 1 diabetes: failure to meet targets across the age spectrum.
Holmes-Walker DJ, Abraham MB, Chee M, Jones TW; Australasian Diabetes Data Network (ADDN) Study Group.
Holmes-Walker DJ, et al.
Intern Med J. 2023 Jan;53(1):61-67. doi: 10.1111/imj.15426. Epub 2022 May 31.
Intern Med J. 2023.
PMID: 34142758
Free PMC article.
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Longitudinal trajectories of BMI z-score: an international comparison of 11,513 Australian, American and German/Austrian/Luxembourgian youth with type 1 diabetes.
Phelan H, Foster NC, Schwandt A, Couper JJ, Willi S, Kroschwald P, Jones TW, Wu M, Steigleder-Schweiger C, Craig ME, Maahs DM, Prinz N; Australasian Diabetes Data Network (ADDN) Study Group, the T1D Exchange Clinic Network (T1DX) and the Prospective Diabetes Follow-up Registry (DPV) initiative.
Phelan H, et al.
Pediatr Obes. 2020 Feb;15(2):e12582. doi: 10.1111/ijpo.12582. Epub 2019 Nov 5.
Pediatr Obes. 2020.
PMID: 31691541
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Improved Glycemic Outcomes With Diabetes Technology Use Independent of Socioeconomic Status in Youth With Type 1 Diabetes.
Lomax KE, Taplin CE, Abraham MB, Smith GJ, Haynes A, Zomer E, Ellis KL, Clapin H, Zoungas S, Jenkins AJ, Harrington J, de Bock MI, Jones TW, Davis EA; Australasian Diabetes Data Network (ADDN) Study Group.
Lomax KE, et al.
Diabetes Care. 2024 Apr 1;47(4):707-711. doi: 10.2337/dc23-2033.
Diabetes Care. 2024.
PMID: 38324670
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Differences in retinopathy prevalence and associated risk factors across 11 countries in three continents: A cross-sectional study of 156,090 children and adolescents with type 1 diabetes.
Bratina N, Auzanneau M, Birkebaek N, de Beaufort C, Cherubini V, Craig ME, Dabelea D, Dovc K, Hofer SE, Holl RW, Jensen ET, Mul D, Nagl K, Robinson H, Schierloh U, Svensson J, Tiberi V, Veeze HJ, Warner JT, Donaghue KC; Australasian Diabetes Data Network (ADDN) Study Group, the Prospective Diabetes Follow-up Registry (DPV) initiative, Danish National Diabetes Registry (DanDiabKids), National Pediatric Diabetes Audit (NPDA), Region Marche Registry for Diabetes, Diabeter Diabetes Database, Slovenian Childhood Diabetes Registry, SEARCH for Diabetes in Youth Study.
Bratina N, et al.
Pediatr Diabetes. 2022 Dec;23(8):1656-1664. doi: 10.1111/pedi.13416. Epub 2022 Sep 22.
Pediatr Diabetes. 2022.
PMID: 36097824
Free PMC article.
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