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For: Kohnert KD, Heinke P, Vogt L, Salzsieder E. Utility of different glycemic control metrics for optimizing management of diabetes. World J Diabetes 2015; 6(1): 17-29 [PMID: 25685275 DOI: 10.4239/wjd.v6.i1.17] [Cited by in CrossRef: 57] [Cited by in F6Publishing: 49] [Article Influence: 8.1] [Reference Citation Analysis]
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6 Shiga Y, Kuriyama M, Kanaya Y, Takeshima S, Takemaru M, Takamatsu K, Shimoe Y, Fujikawa Y, Nishigaki M. Serum 1,5-Anhydroglucitol: Risk Factor of Acute Ischemic Stroke and Transient Ischemic Attack in Well-Controlled Diabetes. Cerebrovasc Dis 2017;44:325-9. [PMID: 29073616 DOI: 10.1159/000481626] [Cited by in Crossref: 6] [Cited by in F6Publishing: 2] [Article Influence: 1.2] [Reference Citation Analysis]
7 Joshi A, Mitra A, Anjum N, Shrivastava N, Khadanga S, Pakhare A, Joshi R. Patterns of Glycemic Variability During a Diabetes Self-Management Educational Program. Med Sci (Basel) 2019;7:E52. [PMID: 30934620 DOI: 10.3390/medsci7030052] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]
8 Hosseinsabet A, Mohseni-Badalabadi R, Moinfar A. Impaired Left Atrial Conduit Function in Coronary Artery Disease Patients With Poorly Controlled Diabetes: Two-Dimensional Speckle-Tracking Echocardiographic Study. J Ultrasound Med 2017;36:13-23. [PMID: 27925659 DOI: 10.7863/ultra.15.12065] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 0.5] [Reference Citation Analysis]
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13 Sandig D, Grimsmann J, Reinauer C, Melmer A, Zimny S, Müller-korbsch M, Forestier N, Zeyfang A, Bramlage P, Danne T, Meissner T, Holl RW. Continuous Glucose Monitoring in Adults with Type 1 Diabetes: Real-World Data from the German/Austrian Prospective Diabetes Follow-Up Registry. Diabetes Technology & Therapeutics 2020;22:602-12. [DOI: 10.1089/dia.2020.0019] [Cited by in Crossref: 15] [Cited by in F6Publishing: 13] [Article Influence: 7.5] [Reference Citation Analysis]
14 Jin HY, Lee KA, Park TS. The impact of glycemic variability on diabetic peripheral neuropathy. Endocrine 2016;53:643-8. [DOI: 10.1007/s12020-016-1005-7] [Cited by in Crossref: 23] [Cited by in F6Publishing: 23] [Article Influence: 3.8] [Reference Citation Analysis]
15 Sameer AS, Banday MZ, Nissar S, Saeed SA. A Comparison of Biomarkers in the Assessment of Glycemic Control in Diabetes: Reviewing the Evidence. Curr Diabetes Rev 2019;15:471-9. [PMID: 30961503 DOI: 10.2174/1389557519666190408197922] [Reference Citation Analysis]
16 Peabody JW, de Belen E, Dahlen JR, Acelajado MC, Tran MT, Paculdo DR. Variation in Diabetes Management: A National Assessment of Primary Care Providers. J Diabetes Sci Technol 2020;14:70-6. [PMID: 31282183 DOI: 10.1177/1932296819861662] [Reference Citation Analysis]
17 Mutambudzi M, Díaz-Venegas C, Menon S. Association Between Baseline Glycemic Markers (HbA1c) and 8-Year Trajectories of Functional Disability. J Gerontol A Biol Sci Med Sci 2019;74:1828-34. [PMID: 30958520 DOI: 10.1093/gerona/glz089] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
18 Kushner PR, Kruger DF. The Changing Landscape of Glycemic Targets: Focus on Continuous Glucose Monitoring. Clin Diabetes 2020;38:348-56. [PMID: 33132504 DOI: 10.2337/cd19-0093] [Reference Citation Analysis]
19 Pirbaglou M, Katz J, Motamed M, Pludwinski S, Walker K, Ritvo P. Personal Health Coaching as a Type 2 Diabetes Mellitus Self-Management Strategy: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Am J Health Promot 2018;32:1613-26. [PMID: 29658286 DOI: 10.1177/0890117118758234] [Cited by in Crossref: 25] [Cited by in F6Publishing: 21] [Article Influence: 6.3] [Reference Citation Analysis]
20 Schwandt A, Best F, Biester T, Grünerbel A, Kopp F, Krakow D, Laimer M, Wagner C, Holl R; on behalf of the Diabetes-Patienten-Verlaufsdokumentation (DPV) initiative. Both the frequency of HbA 1c testing and the frequency of self-monitoring of blood glucose predict metabolic control: A multicentre analysis of 15 199 adult type 1 diabetes patients from Germany and Austria. Diabetes Metab Res Rev 2017;33:e2908. [DOI: 10.1002/dmrr.2908] [Cited by in Crossref: 20] [Cited by in F6Publishing: 17] [Article Influence: 4.0] [Reference Citation Analysis]
21 Forlenza GP, Pyle LL, Maahs DM, Dunn TC. Ambulatory glucose profile analysis of the juvenile diabetes research foundation continuous glucose monitoring dataset-Applications to the pediatric diabetes population. Pediatr Diabetes 2017;18:622-8. [PMID: 27878929 DOI: 10.1111/pedi.12474] [Cited by in Crossref: 15] [Cited by in F6Publishing: 14] [Article Influence: 2.5] [Reference Citation Analysis]
22 Salazar-Tamayo G, López-Jácome LE, Resendiz-Sanchez J, Franco-Cendejas R, Rodriguez-Zulueta P, Corzo-León DE. Higher In vitro Proliferation Rate of Rhizopus oryzae in Blood of Diabetic Individuals in Chronic Glycaemic Control Compared with Non-diabetic Individuals. Mycopathologia 2017;182:1005-14. [PMID: 28685375 DOI: 10.1007/s11046-017-0174-0] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.4] [Reference Citation Analysis]
23 Huang Y, Yue L, Qiu J, Gao M, Liu S, Wang J. Endothelial Dysfunction and Platelet Hyperactivation in Diabetic Complications Induced by Glycemic Variability. Horm Metab Res 2022;54:419-28. [PMID: 35835141 DOI: 10.1055/a-1880-0978] [Reference Citation Analysis]
24 Kalra S, Shaikh S, Priya G, Baruah MP, Verma A, Das AK, Shah M, Das S, Khandelwal D, Sanyal D, Ghosh S, Saboo B, Bantwal G, Ayyagari U, Gardner D, Jimeno C, Barbary NE, Hafidh KA, Bhattarai J, Minulj TT, Zufry H, Bulugahapitiya U, Murad M, Tan A, Shahjada S, Bello MB, Katulanda P, Podgorski G, AbuHelaiqa WI, Tan R, Latheef A, Govender S, Assaad-Khalil SH, Kootin-Sanwu C, Joshi A, Pathan F, Nkansah DA. Individualizing Time-in-Range Goals in Management of Diabetes Mellitus and Role of Insulin: Clinical Insights From a Multinational Panel. Diabetes Ther 2021;12:465-85. [PMID: 33367983 DOI: 10.1007/s13300-020-00973-0] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
25 Tinahones FJ, Molina-Vega M, Parra-Barona J, Flores-Le Roux J, Gómez-Huelgas R. Prevalence of postprandial hyperglycaemia in basal insulin-treated patients with type 2 diabetes mellitus with controlled fasting glycaemia and elevated glycosylated haemoglobin. Diabetol Metab Syndr 2019;11:59. [PMID: 31367236 DOI: 10.1186/s13098-019-0452-8] [Cited by in Crossref: 1] [Article Influence: 0.3] [Reference Citation Analysis]
26 Lou Q, Yuan X, Hao S, Miller JD, Yan J, Zuo P, Li J, Yang L, Li H. Effects of Glucose Fluctuation Targeted Intervention on the Prognosis of Patients with Type 2 Diabetes following the First Episode of Cerebral Infarction. J Diabetes Res 2020;2020:2532171. [PMID: 32090117 DOI: 10.1155/2020/2532171] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
27 Copur S, Onal EM, Afsar B, Ortiz A, van Raalte DH, Cherney DZ, Rossing P, Kanbay M. Diabetes mellitus in chronic kidney disease: Biomarkers beyond HbA1c to estimate glycemic control and diabetes-dependent morbidity and mortality. Journal of Diabetes and its Complications 2020;34:107707. [DOI: 10.1016/j.jdiacomp.2020.107707] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 2.5] [Reference Citation Analysis]
28 Colás A, Vigil L, Vargas B, Cuesta-Frau D, Varela M. Detrended Fluctuation Analysis in the prediction of type 2 diabetes mellitus in patients at risk: Model optimization and comparison with other metrics. PLoS One 2019;14:e0225817. [PMID: 31851681 DOI: 10.1371/journal.pone.0225817] [Cited by in Crossref: 1] [Article Influence: 0.3] [Reference Citation Analysis]
29 Zhao H, Zhao C. Fine-Scale Online Evaluation of Glycemic Control Performance Based on Temporal Feature Analysis. Ind Eng Chem Res 2019;58:4374-86. [DOI: 10.1021/acs.iecr.8b05448] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
30 Hadi Alijanvand M, Aminorroaya A, Kazemi I, Aminorroaya Yamini S, Janghorbani M, Amini M, Mansourian M. Cross-sectional and longitudinal assessments of risk factors associated with hypertension and moderately increased albuminuria comorbidity in patients with type 2 diabetes: a 9-year open cohort study. Diabetes Metab Syndr Obes 2019;12:1123-39. [PMID: 31410041 DOI: 10.2147/DMSO.S189726] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
31 Kohnert KD, Heinke P, Vogt L, Augstein P, Thomas A, Salzsieder E. Associations of blood glucose dynamics with antihyperglycemic treatment and glycemic variability in type 1 and type 2 diabetes. J Endocrinol Invest 2017;40:1201-7. [PMID: 28484994 DOI: 10.1007/s40618-017-0682-2] [Cited by in Crossref: 10] [Cited by in F6Publishing: 8] [Article Influence: 2.0] [Reference Citation Analysis]
32 Helleputte S, De Backer T, Lapauw B, Shadid S, Celie B, Van Eetvelde B, Vanden Wyngaert K, Calders P. The relationship between glycaemic variability and cardiovascular autonomic dysfunction in patients with type 1 diabetes: A systematic review. Diabetes Metab Res Rev 2020;36:e3301. [PMID: 32073212 DOI: 10.1002/dmrr.3301] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 3.5] [Reference Citation Analysis]
33 Leelarathna L, Ashley D, Fidler C, Parekh W. The value of fast-acting insulin aspart compared with insulin aspart for patients with diabetes mellitus treated with bolus insulin from a UK health care system perspective. Ther Adv Endocrinol Metab 2018;9:187-97. [PMID: 29977497 DOI: 10.1177/2042018818766816] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 0.8] [Reference Citation Analysis]
34 Pratley RE, Rosenstock J, Heller SR, Sinclair A, Heine RJ, Kiljański J, Brusko CS, Duan R, Festa A. Reduced Glucose Variability With Glucose-Dependent Versus Glucose-Independent Therapies Despite Similar Glucose Control and Hypoglycemia Rates in a Randomized, Controlled Study of Older Patients With Type 2 Diabetes Mellitus. J Diabetes Sci Technol 2018;12:1184-91. [PMID: 29893144 DOI: 10.1177/1932296818776993] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
35 Martin M, Patterson J, Allison M, O'Connor BB, Patel D. The Influence of Baseline Hemoglobin A1c on Digital Health Coaching Outcomes in Adults With Type 2 Diabetes: Real-World Retrospective Cohort Study. JMIR Diabetes 2021;6:e24981. [PMID: 34010804 DOI: 10.2196/24981] [Reference Citation Analysis]
36 Margaritidis C, Karlafti E, Kotzakioulafi E, Kantartzis K, Tziomalos K, Kaiafa G, Savopoulos C, Didangelos T. Comparison of Premixed Human Insulin 30/70 to Biphasic Aspart 30 in Well-Controlled Patients with Type 2 Diabetes Using Continuous Glucose Monitoring. J Clin Med 2021;10:1982. [PMID: 34063071 DOI: 10.3390/jcm10091982] [Reference Citation Analysis]
37 Elissen AMJ, Hertroijs DFL, Schaper NC, Bosma H, Dagnelie PC, Henry RM, van der Kallen CJ, Koster A, Schram MT, Stehouwer CDA, Schouten JSAG, Berendschot TTJM, Ruwaard D. Differences in biopsychosocial profiles of diabetes patients by level of glycaemic control and health-related quality of life: The Maastricht Study. PLoS One 2017;12:e0182053. [PMID: 28750026 DOI: 10.1371/journal.pone.0182053] [Cited by in Crossref: 10] [Cited by in F6Publishing: 9] [Article Influence: 2.0] [Reference Citation Analysis]
38 Shivaprasad C, Aiswarya Y, Kejal S, Sridevi A, Anupam B, Ramdas B, Gautham K, Aarudhra P. Comparison of CGM-Derived Measures of Glycemic Variability Between Pancreatogenic Diabetes and Type 2 Diabetes Mellitus. J Diabetes Sci Technol 2021;15:134-40. [PMID: 31282179 DOI: 10.1177/1932296819860133] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 2.3] [Reference Citation Analysis]
39 Krentz AJ, Hompesch M. Glucose: archetypal biomarker in diabetes diagnosis, clinical management and research. Biomarkers in Medicine 2016;10:1153-66. [DOI: 10.2217/bmm-2016-0170] [Cited by in Crossref: 5] [Cited by in F6Publishing: 3] [Article Influence: 0.8] [Reference Citation Analysis]
40 Leong A, Wheeler E. Genetics of HbA1c: a case study in clinical translation. Curr Opin Genet Dev. 2018;50:79-85. [PMID: 29522974 DOI: 10.1016/j.gde.2018.02.008] [Cited by in Crossref: 10] [Cited by in F6Publishing: 10] [Article Influence: 2.5] [Reference Citation Analysis]
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