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Number Cited Articles
1
Heung Yong Jin, Kyung Ae Lee, Tae Sun Park. The impact of glycemic variability on diabetic peripheral neuropathyEndocrine 2016; 53(3): 643 doi: 10.1007/s12020-016-1005-7
2
K.-D. Kohnert, P. Heinke, L. Vogt, P. Augstein, A. Thomas, E. Salzsieder. Associations of blood glucose dynamics with antihyperglycemic treatment and glycemic variability in type 1 and type 2 diabetesJournal of Endocrinological Investigation 2017; 40(11): 1201 doi: 10.1007/s40618-017-0682-2
3
Hong Zhao, Chunhui Zhao. Fine-Scale Online Evaluation of Glycemic Control Performance Based on Temporal Feature AnalysisIndustrial & Engineering Chemistry Research 2019; 58(11): 4374 doi: 10.1021/acs.iecr.8b05448
4
Ezra Belay Ketema, Kelemu Tilahun Kibret. Correlation of fasting and postprandial plasma glucose with HbA1c in assessing glycemic control; systematic review and meta-analysisArchives of Public Health 2015; 73(1) doi: 10.1186/s13690-015-0088-6
5
Oliver Schnell, J. Benjamin Crocker, Jianping Weng. Impact of HbA1c Testing at Point of Care on Diabetes ManagementJournal of Diabetes Science and Technology 2017; 11(3): 611 doi: 10.1177/1932296816678263
6
Arianne M. J. Elissen, Dorijn F. L. Hertroijs, Nicolaas C. Schaper, Hans Bosma, Pieter C. Dagnelie, Ronald M. Henry, Carla J. van der Kallen, Annemarie Koster, Miranda T. Schram, Coen D. A. Stehouwer, Johannes S. A. G. Schouten, Tos T. J. M. Berendschot, Dirk Ruwaard, Marco Rito-Palomares. Differences in biopsychosocial profiles of diabetes patients by level of glycaemic control and health-related quality of life: The Maastricht StudyPLOS ONE 2017; 12(7): e0182053 doi: 10.1371/journal.pone.0182053
7
M.Á. Núñez-Sánchez, M.Á. Cervantes-Cuesta, P. Brocal-Ibañez, E. Salmeron-Arjona, L.P. León-Martínez, M. Cerezo-Sanmartin. Implantación de la determinación de hemoglobina glucosilada capilar en un Área de Salud: estudio multicéntrico sobre evolución de pacientes con diabetes mellitus de tipo 2Revista de Calidad Asistencial 2017; 32(2): 66 doi: 10.1016/j.cali.2016.09.005
8
Gregory P. Forlenza, Laura L. Pyle, David M. Maahs, Timothy C. Dunn. Ambulatory glucose profile analysis of the juvenile diabetes research foundation continuous glucose monitoring dataset-Applications to the pediatric diabetes populationPediatric Diabetes 2017; 18(7): 622 doi: 10.1111/pedi.12474
9
Yunyun Lai, Zhengbo Zhang, Peiyao Li, Xiaoli Liu, YiXin Liu, Yi Xin, Weijun Gu. Investigation of glucose fluctuations by approaches of multi-scale analysisMedical & Biological Engineering & Computing 2018; 56(3): 505 doi: 10.1007/s11517-017-1692-0
10
Aga S. Sameer, Mujeeb Z. Banday, Saniya Nissar, Sheikh A. Saeed. A Comparison of Biomarkers in the Assessment of Glycemic Control in Diabetes: Reviewing the EvidenceCurrent Diabetes Reviews 2019; 15(6): 471 doi: 10.2174/1389557519666190408197922
11
L. Kovacs, T. Ferenci, J. Sapi, Gy. Eigner, J. Klespitz, P. Szalay, M. Kozlovszky, I. Rudas. Physiological modeling and control at Obuda University2015 IEEE 10th Jubilee International Symposium on Applied Computational Intelligence and Informatics 2015; : 21 doi: 10.1109/SACI.2015.7208222
12
Francisco J. Tinahones, María Molina-Vega, Juan Parra-Barona, Juana Flores-Le Roux, Ricardo Gómez-Huelgas. Prevalence of postprandial hyperglycaemia in basal insulin-treated patients with type 2 diabetes mellitus with controlled fasting glycaemia and elevated glycosylated haemoglobinDiabetology & Metabolic Syndrome 2019; 11(1) doi: 10.1186/s13098-019-0452-8
13
Richard E. Pratley, Julio Rosenstock, Simon R. Heller, Alan Sinclair, Robert J. Heine, Jacek Kiljański, Cynthia S. Brusko, Ran Duan, Andreas Festa. 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 MellitusJournal of Diabetes Science and Technology 2018; 12(6): 1184 doi: 10.1177/1932296818776993
14
Qingqing Lou, Xiaodan Yuan, Shujie Hao, Joshua D. Miller, Juan Yan, Panpan Zuo, Jianing Li, Lihong Yang, Hong Li. Effects of Glucose Fluctuation Targeted Intervention on the Prognosis of Patients with Type 2 Diabetes following the First Episode of Cerebral InfarctionJournal of Diabetes Research 2020; 2020: 1 doi: 10.1155/2020/2532171
15
Scott W. Lee, John B. Welsh. Upcoming Devices for Diabetes Management: The Artificial Pancreas as the Hallmark DeviceDiabetes Technology & Therapeutics 2015; 17(8): 538 doi: 10.1089/dia.2014.0303
16
Dirk Sandig, Julia Grimsmann, Christina Reinauer, Andreas Melmer, Stefan Zimny, Michael Müller-Korbsch, Nicole Forestier, Andrej Zeyfang, Peter Bramlage, Thomas Danne, Thomas Meissner, Reinhard W. Holl. Continuous Glucose Monitoring in Adults with Type 1 Diabetes: Real-World Data from the German/Austrian Prospective Diabetes Follow-Up RegistryDiabetes Technology & Therapeutics 2020; 22(8): 602 doi: 10.1089/dia.2020.0019
17
Aaron Leong, Eleanor Wheeler. Genetics of HbA1c: a case study in clinical translationCurrent Opinion in Genetics & Development 2018; 50: 79 doi: 10.1016/j.gde.2018.02.008
18
Payam Amini, Sevda Moharamzadeh. Comment on ‘Exercise training decreases pancreatic fat content and improves beta cell function regardless of baseline glucose tolerance: a randomised controlled trial’Diabetologia 2019; 62(1): 202 doi: 10.1007/s00125-018-4765-1
19
Ankur Joshi, Arun Mitra, Nikhat Anjum, Neelesh Shrivastava, Sagar Khadanga, Abhijit Pakhare, Rajnish Joshi. Patterns of Glycemic Variability During a Diabetes Self-Management Educational ProgramMedical Sciences 2019; 7(3): 52 doi: 10.3390/medsci7030052
20
Sidar Copur, Emine M. Onal, Baris Afsar, Alberto Ortiz, Daniel H. van Raalte, David Z. Cherney, Peter Rossing, Mehmet Kanbay. Diabetes mellitus in chronic kidney disease: Biomarkers beyond HbA1c to estimate glycemic control and diabetes-dependent morbidity and mortalityJournal of Diabetes and its Complications 2020; 34(11): 107707 doi: 10.1016/j.jdiacomp.2020.107707
21
Andrew J Krentz, Marcus Hompesch. Glucose: archetypal biomarker in diabetes diagnosis, clinical management and researchBiomarkers in Medicine 2016; 10(11): 1153 doi: 10.2217/bmm-2016-0170
22
Ali Hosseinsabet, Reza Mohseni-Badalabadi, Ali Moinfar. Impaired Left Atrial Conduit Function in Coronary Artery Disease Patients With Poorly Controlled Diabetes: Two-Dimensional Speckle-Tracking Echocardiographic StudyJournal of Ultrasound in Medicine 2017; 36(1): 13 doi: 10.7863/ultra.15.12065
23
Vanessa Moscardó, Marga Giménez, Nick Oliver, Nathan R. Hill. Updated Software for Automated Assessment of Glucose Variability and Quality of Glycemic Control in DiabetesDiabetes Technology & Therapeutics 2020;  doi: 10.1089/dia.2019.0416
24
Meysam Pirbaglou, Joel Katz, Mehras Motamed, Sarah Pludwinski, Krista Walker, Paul Ritvo. Personal Health Coaching as a Type 2 Diabetes Mellitus Self-Management Strategy: A Systematic Review and Meta-Analysis of Randomized Controlled TrialsAmerican Journal of Health Promotion 2018; 32(7): 1613 doi: 10.1177/0890117118758234
25
Artur Falcao, Pedro Bullón. A review of the influence of periodontal treatment in systemic diseasesPeriodontology 2000 2019; 79(1): 117 doi: 10.1111/prd.12249
26
Lalantha Leelarathna, Donna Ashley, Carrie Fidler, Witesh Parekh. 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 perspectiveTherapeutic Advances in Endocrinology and Metabolism 2018; 9(7): 187 doi: 10.1177/2042018818766816
27
Jan Škrha, Jan Šoupal, Jan Škrha, Martin Prázný. Glucose variability, HbA1c and microvascular complicationsReviews in Endocrine and Metabolic Disorders 2016; 17(1): 103 doi: 10.1007/s11154-016-9347-2
28
Yuji Shiga, Masaru Kuriyama, Yuhei Kanaya, Shinichi Takeshima, Makoto Takemaru, Kazuhiro Takamatsu, Yutaka Shimoe, Yasunori Fujikawa, Masakazu Nishigaki. Serum 1,5-Anhydroglucitol: Risk Factor of Acute Ischemic Stroke and Transient Ischemic Attack in Well-Controlled DiabetesCerebrovascular Diseases 2017; 44(5-6): 325 doi: 10.1159/000481626
29
Ana Colás, Luis Vigil, Borja Vargas, David Cuesta–Frau, Manuel Varela, Benoit Huard. Detrended Fluctuation Analysis in the prediction of type 2 diabetes mellitus in patients at risk: Model optimization and comparison with other metricsPLOS ONE 2019; 14(12): e0225817 doi: 10.1371/journal.pone.0225817
30
Ithamar Ganmore, Michal Schnaider Beeri. The chicken or the egg? Does glycaemic control predict cognitive function or the other way around?Diabetologia 2018; 61(9): 1913 doi: 10.1007/s00125-018-4689-9
31
Channabasappa Shivaprasad, Yalamanchi Aiswarya, Shah Kejal, Atluri Sridevi, Biswas Anupam, Barure Ramdas, Kolla Gautham, Premchander Aarudhra. Comparison of CGM-Derived Measures of Glycemic Variability Between Pancreatogenic Diabetes and Type 2 Diabetes MellitusJournal of Diabetes Science and Technology 2019; : 193229681986013 doi: 10.1177/1932296819860133
32
Maja Krhač, Marijana Vučić Lovrenčić. Update on biomarkers of glycemic controlWorld Journal of Diabetes 2019; 10(1): 1-15 doi: 10.4239/wjd.v10.i1.1
33
Ana M. Gómez, Oscar M. Muñoz, Alejandro Marin, Maria Camila Fonseca, Martin Rondon, María Alejandra Robledo Gómez, Andrei Sanko, Dilcia Lujan, Maira García-Jaramillo, Fabian Mauricio León Vargas. Different Indexes of Glycemic Variability as Identifiers of Patients with Risk of Hypoglycemia in Type 2 Diabetes MellitusJournal of Diabetes Science and Technology 2018; 12(5): 1007 doi: 10.1177/1932296818758105
34
Miriam Mutambudzi, Carlos Díaz-Venegas, Sonia Menon, Anne Newman. Association Between Baseline Glycemic Markers (HbA1c) and 8-Year Trajectories of Functional DisabilityThe Journals of Gerontology: Series A 2019; 74(11): 1828 doi: 10.1093/gerona/glz089
35
Francesco Paneni, Francesco Cosentino. Diabetes and Cardiovascular Disease2015; : 85 doi: 10.1007/978-3-319-17762-5_8
36
A. Schwandt, F. Best, T. Biester, A. Grünerbel, F. Kopp, D. Krakow, M. Laimer, C. Wagner, R.W. Holl. Both the frequency of HbA1c 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 AustriaDiabetes/Metabolism Research and Reviews 2017; 33(7): e2908 doi: 10.1002/dmrr.2908
37
Grace Salazar-Tamayo, Luis E. López-Jácome, Jesús Resendiz-Sanchez, Rafael Franco-Cendejas, Patricia Rodriguez-Zulueta, Dora E. Corzo-León. Higher In vitro Proliferation Rate of Rhizopus oryzae in Blood of Diabetic Individuals in Chronic Glycaemic Control Compared with Non-diabetic IndividualsMycopathologia 2017; 182(11-12): 1005 doi: 10.1007/s11046-017-0174-0
38
John W. Peabody, Enrico de Belen, Jeffrey R. Dahlen, Maria Czarina Acelajado, Mary T. Tran, David R. Paculdo. Variation in Diabetes Management: A National Assessment of Primary Care ProvidersJournal of Diabetes Science and Technology 2020; 14(1): 70 doi: 10.1177/1932296819861662
39
Simon Helleputte, Tine De Backer, Bruno Lapauw, Samyah Shadid, Bert Celie, Birgit Van Eetvelde, Karsten Vanden Wyngaert, Patrick Calders. The relationship between glycaemic variability and cardiovascular autonomic dysfunction in patients with type 1 diabetes: A systematic reviewDiabetes/Metabolism Research and Reviews 2020; 36(5) doi: 10.1002/dmrr.3301
40
Cyrus V Desouza, Richard G Holcomb, Julio Rosenstock, Juan P Frias, Stanley H Hsia, Eric J Klein, Rong Zhou, Takuji Kohzuma, Vivian A Fonseca. Results of a Study Comparing Glycated Albumin to Other Glycemic IndicesThe Journal of Clinical Endocrinology & Metabolism 2020; 105(3): 677 doi: 10.1210/clinem/dgz087
41
Wei Chen, Lei Qian, Hirotaka Watada, Peng Fei Li, Noriyuki Iwamoto, Makoto Imori, Wen Ying Yang. Impact of diet on the efficacy of insulin lispro mix 25 and insulin lispro mix 50 as starter insulin in East Asian patients with type 2 diabetes: Subgroup analysis of the Comparison Between Low Mixed Insulin and Mid Mixed Insulin as Starter Insulin For PaJournal of Diabetes Investigation 2017; 8(1): 75 doi: 10.1111/jdi.12547