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For: Penno G, Solini A, Zoppini G, Orsi E, Fondelli C, Zerbini G, Morano S, Cavalot F, Lamacchia O, Trevisan R, Vedovato M, Pugliese G; Renal Insufficiency and Cardiovascular Events (RIACE) Study Group. Hemoglobin A1c variability as an independent correlate of cardiovascular disease in patients with type 2 diabetes: a cross-sectional analysis of the renal insufficiency and cardiovascular events (RIACE) Italian multicenter study. Cardiovasc Diabetol 2013;12:98. [PMID: 23829205 DOI: 10.1186/1475-2840-12-98] [Cited by in Crossref: 47] [Cited by in F6Publishing: 39] [Article Influence: 5.2] [Reference Citation Analysis]
Number Citing Articles
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2 Yang CY, Su PF, Hung JY, Ou HT, Kuo S. Comparative predictive ability of visit-to-visit HbA1c variability measures for microvascular disease risk in type 2 diabetes. Cardiovasc Diabetol 2020;19:105. [PMID: 32631323 DOI: 10.1186/s12933-020-01082-9] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
3 Lee EJ, Kim MK. Response: a1c variability can predict coronary artery disease in patients with type 2 diabetes with mean a1c level greater than 7 (endocrinol metab 2013;28:125-32, eun ju lee et Al.). Endocrinol Metab (Seoul) 2013;28:348-9. [PMID: 24396703 DOI: 10.3803/EnM.2013.28.4.348] [Reference Citation Analysis]
4 Skriver MV, Sandbæk A, Kristensen JK, Støvring H. Relationship of HbA1c variability, absolute changes in HbA1c, and all-cause mortality in type 2 diabetes: a Danish population-based prospective observational study. BMJ Open Diabetes Res Care 2015;3:e000060. [PMID: 25664182 DOI: 10.1136/bmjdrc-2014-000060] [Cited by in Crossref: 32] [Cited by in F6Publishing: 33] [Article Influence: 4.6] [Reference Citation Analysis]
5 Hiramatsu T, Ozeki A, Asai K, Saka M, Hobo A, Furuta S. Liraglutide Improves Glycemic and Blood Pressure Control and Ameliorates Progression of Left Ventricular Hypertrophy in Patients with Type 2 Diabetes Mellitus on Peritoneal Dialysis. Ther Apher Dial 2015;19:598-605. [PMID: 26556397 DOI: 10.1111/1744-9987.12319] [Cited by in Crossref: 8] [Cited by in F6Publishing: 9] [Article Influence: 1.1] [Reference Citation Analysis]
6 Deshmukh H, Wilmot EG, Gregory R, Barnes D, Narendran P, Saunders S, Furlong N, Kamaruddin S, Banatwalla R, Herring R, Kilvert A, Patmore J, Walton C, Ryder REJ, Sathyapalan T. Effect of Flash Glucose Monitoring on Glycemic Control, Hypoglycemia, Diabetes-Related Distress, and Resource Utilization in the Association of British Clinical Diabetologists (ABCD) Nationwide Audit. Diabetes Care 2020;43:2153-60. [PMID: 32669277 DOI: 10.2337/dc20-0738] [Cited by in Crossref: 19] [Cited by in F6Publishing: 12] [Article Influence: 9.5] [Reference Citation Analysis]
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8 Shen Y, Zhou J, Shi L, Nauman E, Katzmarzyk PT, Price-Haywood EG, Horswell R, Bazzano AN, Nigam S, Hu G. Association between visit-to-visit HbA1c variability and the risk of cardiovascular disease in patients with type 2 diabetes. Diabetes Obes Metab 2021;23:125-35. [PMID: 32965068 DOI: 10.1111/dom.14201] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
9 Gu J, Pan JA, Fan YQ, Zhang HL, Zhang JF, Wang CQ. Prognostic impact of HbA1c variability on long-term outcomes in patients with heart failure and type 2 diabetes mellitus. Cardiovasc Diabetol 2018;17:96. [PMID: 29960591 DOI: 10.1186/s12933-018-0739-3] [Cited by in Crossref: 25] [Cited by in F6Publishing: 24] [Article Influence: 6.3] [Reference Citation Analysis]
10 Park SY, Kim SY, Lee HM, Hur KY, Kim JH, Lee MK, Sim KH, Jin SM. Diabetes Camp as Continuing Education for Diabetes Self-Management in Middle-Aged and Elderly People with Type 2 Diabetes Mellitus. Diabetes Metab J 2017;41:99-112. [PMID: 28447438 DOI: 10.4093/dmj.2017.41.2.99] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.4] [Reference Citation Analysis]
11 Paul SK, Klein K, Thorsted BL, Wolden ML, Khunti K. Delay in treatment intensification increases the risks of cardiovascular events in patients with type 2 diabetes. Cardiovasc Diabetol 2015;14:100. [PMID: 26249018 DOI: 10.1186/s12933-015-0260-x] [Cited by in Crossref: 114] [Cited by in F6Publishing: 101] [Article Influence: 16.3] [Reference Citation Analysis]
12 Chung HS, Hwang SY, Kim JA, Roh E, Yoo HJ, Baik SH, Kim NH, Seo JA, Kim SG, Kim NH, Choi KM. Implications of fasting plasma glucose variability on the risk of incident peripheral artery disease in a population without diabetes: a nationwide population-based cohort study. Cardiovasc Diabetol 2022;21:15. [PMID: 35101050 DOI: 10.1186/s12933-022-01448-1] [Reference Citation Analysis]
13 Cheng G, Mahmoudi H, Chokshi B, Fernandez M, Kazemi V, Lamaa N. The relationship between fasting blood glucose variability and coronary artery collateral formation in type 2 diabetes patients with coronary artery disease. Coron Artery Dis 2017;28:486-91. [PMID: 28644211 DOI: 10.1097/MCA.0000000000000520] [Reference Citation Analysis]
14 Slieker RC, van der Heijden AAWH, Nijpels G, Elders PJM, 't Hart LM, Beulens JWJ. Visit-to-visit variability of glycemia and vascular complications: the Hoorn Diabetes Care System cohort. Cardiovasc Diabetol 2019;18:170. [PMID: 31830993 DOI: 10.1186/s12933-019-0975-1] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 2.7] [Reference Citation Analysis]
15 Cea Soriano L, Johansson S, Stefansson B, Rodríguez LA. Cardiovascular events and all-cause mortality in a cohort of 57,946 patients with type 2 diabetes: associations with renal function and cardiovascular risk factors. Cardiovasc Diabetol 2015;14:38. [PMID: 25909295 DOI: 10.1186/s12933-015-0204-5] [Cited by in Crossref: 39] [Cited by in F6Publishing: 35] [Article Influence: 5.6] [Reference Citation Analysis]
16 McGovern AP, Dennis JM, Shields BM, Hattersley AT, Pearson ER, Jones AG; MASTERMIND Consortium. What to do with diabetes therapies when HbA1c lowering is inadequate: add, switch, or continue? A MASTERMIND study. BMC Med 2019;17:79. [PMID: 30979373 DOI: 10.1186/s12916-019-1307-8] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
17 Guo K, Zhao Q, Wang M, Lu Y, Wo M, Zhou X, Ying C. The Scope of HbA1c Variability and Risk of Vascular Complications Among Patients with Type 2 Diabetes: A Systematic Review and Meta-Analysis of Prospective Studies. Horm Metab Res 2022;54:94-103. [PMID: 35130570 DOI: 10.1055/a-1730-4904] [Reference Citation Analysis]
18 Wilke T, Mueller S, Groth A, Fuchs A, Seitz L, Kienhöfer J, Maywald U, Lundershausen R, Wehling M. Treatment-dependent and treatment-independent risk factors associated with the risk of diabetes-related events: a retrospective analysis based on 229,042 patients with type 2 diabetes mellitus. Cardiovasc Diabetol 2015;14:14. [PMID: 25645749 DOI: 10.1186/s12933-015-0179-2] [Cited by in Crossref: 19] [Cited by in F6Publishing: 18] [Article Influence: 2.7] [Reference Citation Analysis]
19 Jung HS. Letter: a1c variability can predict coronary artery disease in patients with type 2 diabetes with mean a1c level greater than 7 (endocrinol metab 2013;28:125-32, eun ju lee et Al.). Endocrinol Metab (Seoul) 2013;28:346-7. [PMID: 24396702 DOI: 10.3803/EnM.2013.28.4.346] [Reference Citation Analysis]
20 Gu J, Fan YQ, Zhang JF, Wang CQ. Association of hemoglobin A1c variability and the incidence of heart failure with preserved ejection fraction in patients with type 2 diabetes mellitus and arterial hypertension. Hellenic J Cardiol 2018;59:91-7. [PMID: 28818638 DOI: 10.1016/j.hjc.2017.08.001] [Cited by in Crossref: 18] [Cited by in F6Publishing: 18] [Article Influence: 3.6] [Reference Citation Analysis]
21 Livny A, Ravona-Springer R, Heymann A, Priess R, Kushnir T, Tsarfaty G, Rabinov L, Moran R, Hoffman H, Cooper I, Greenbaum L, Silverman J, Sano M, Johnson SC, Bendlin BB, Schnaider Beeri M. Long-term Variability in Glycemic Control Is Associated With White Matter Hyperintensities in APOE4 Genotype Carriers With Type 2 Diabetes. Diabetes Care 2016;39:1056-9. [PMID: 27208321 DOI: 10.2337/dc15-2331] [Cited by in Crossref: 13] [Cited by in F6Publishing: 13] [Article Influence: 2.2] [Reference Citation Analysis]
22 Sun B, He F, Gao Y, Zhou J, Sun L, Liu R, Xu H, Chen X, Zhou H, Liu Z, Zhang W. Prognostic impact of visit-to-visit glycemic variability on the risks of major adverse cardiovascular outcomes and hypoglycemia in patients with different glycemic control and type 2 diabetes. Endocrine 2019;64:536-43. [PMID: 30868413 DOI: 10.1007/s12020-019-01893-1] [Cited by in Crossref: 11] [Cited by in F6Publishing: 8] [Article Influence: 3.7] [Reference Citation Analysis]
23 Lee IT. Mean and variability of annual haemoglobin A1c are associated with high-risk peripheral artery disease. Diab Vasc Dis Res 2020;17:1479164120909030. [PMID: 32148085 DOI: 10.1177/1479164120909030] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
24 Orsi E, Solini A, Bonora E, Fondelli C, Trevisan R, Vedovato M, Cavalot F, Gruden G, Morano S, Nicolucci A, Penno G, Pugliese G; Renal Insufficiency and Cardiovascular Events (RIACE) Study Group. Haemoglobin A1c variability is a strong, independent predictor of all-cause mortality in patients with type 2 diabetes. Diabetes Obes Metab 2018;20:1885-93. [PMID: 29582548 DOI: 10.1111/dom.13306] [Cited by in Crossref: 26] [Cited by in F6Publishing: 20] [Article Influence: 6.5] [Reference Citation Analysis]
25 Pugliese G, Solini A, Bonora E, Fondelli C, Orsi E, Nicolucci A, Penno G; RIACE Study Group. Chronic kidney disease in type 2 diabetes: lessons from the Renal Insufficiency And Cardiovascular Events (RIACE) Italian Multicentre Study. Nutr Metab Cardiovasc Dis 2014;24:815-22. [PMID: 24780515 DOI: 10.1016/j.numecd.2014.02.013] [Cited by in Crossref: 37] [Cited by in F6Publishing: 31] [Article Influence: 4.6] [Reference Citation Analysis]
26 Smith-Palmer J, Brändle M, Trevisan R, Orsini Federici M, Liabat S, Valentine W. Assessment of the association between glycemic variability and diabetes-related complications in type 1 and type 2 diabetes. Diabetes Res Clin Pract 2014;105:273-84. [PMID: 25023992 DOI: 10.1016/j.diabres.2014.06.007] [Cited by in Crossref: 105] [Cited by in F6Publishing: 87] [Article Influence: 13.1] [Reference Citation Analysis]
27 Huri HZ, Ling DY, Ahmad WA. Association between glycemic control and antidiabetic drugs in type 2 diabetes mellitus patients with cardiovascular complications. Drug Des Devel Ther 2015;9:4735-49. [PMID: 26316711 DOI: 10.2147/DDDT.S87294] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
28 Mukai N, Yasuda M, Ninomiya T, Hata J, Hirakawa Y, Ikeda F, Fukuhara M, Hotta T, Koga M, Nakamura U, Kang D, Kitazono T, Kiyohara Y. Thresholds of various glycemic measures for diagnosing diabetes based on prevalence of retinopathy in community-dwelling Japanese subjects: the Hisayama Study. Cardiovasc Diabetol. 2014;13:45. [PMID: 24533962 DOI: 10.1186/1475-2840-13-45] [Cited by in Crossref: 26] [Cited by in F6Publishing: 22] [Article Influence: 3.3] [Reference Citation Analysis]
29 Scott ES, Januszewski AS, O'Connell R, Fulcher G, Scott R, Kesaniemi A, Wu L, Colagiuri S, Keech A, Jenkins AJ. Long-Term Glycemic Variability and Vascular Complications in Type 2 Diabetes: Post Hoc Analysis of the FIELD Study. J Clin Endocrinol Metab 2020;105:dgaa361. [PMID: 32766757 DOI: 10.1210/clinem/dgaa361] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 7.0] [Reference Citation Analysis]
30 Prentice JC, Pizer SD, Conlin PR. Identifying the independent effect of HbA1c variability on adverse health outcomes in patients with Type 2 diabetes. Diabet Med 2016;33:1640-8. [PMID: 27279250 DOI: 10.1111/dme.13166] [Cited by in Crossref: 19] [Cited by in F6Publishing: 17] [Article Influence: 3.2] [Reference Citation Analysis]
31 Wan EYF, Yu EYT, Chin WY, Ng FTY, Chia SMC, Wong ICK, Chan EWY, Lam CLK. Age-specific associations of glycated haemoglobin variability with cardiovascular disease and mortality in patients with type 2 diabetes mellitus: A 10- year cohort study. Diabetes Obes Metab 2020;22:1316-27. [PMID: 32196917 DOI: 10.1111/dom.14034] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]
32 Jakuš V, Sándorová E, Kalninová J, Krahulec B. Monitoring of glycation, oxidative stress and inflammation in relation to the occurrence of vascular complications in patients with type 2 diabetes mellitus. Physiol Res 2014;63:297-309. [PMID: 24564602 DOI: 10.33549/physiolres.932672] [Cited by in Crossref: 6] [Cited by in F6Publishing: 11] [Article Influence: 0.8] [Reference Citation Analysis]
33 Liu XJ, Wan ZF, Zhao N, Zhang YP, Mi L, Wang XH, Zhou D, Wu Y, Yuan ZY. Adjustment of the GRACE score by HemoglobinA1c enables a more accurate prediction of long-term major adverse cardiac events in acute coronary syndrome without diabetes undergoing percutaneous coronary intervention. Cardiovasc Diabetol 2015;14:110. [PMID: 26285575 DOI: 10.1186/s12933-015-0274-4] [Cited by in Crossref: 19] [Cited by in F6Publishing: 19] [Article Influence: 2.7] [Reference Citation Analysis]
34 Rezende PC, Hlatky MA, Hueb W, Garcia RMR, da Silva Selistre L, Lima EG, Garzillo CL, Scudeler TL, Boros GAB, Ribas FF, Serrano CV Jr, Ramires JAF, Kalil Filho R. Association of Longitudinal Values of Glycated Hemoglobin With Cardiovascular Events in Patients With Type 2 Diabetes and Multivessel Coronary Artery Disease. JAMA Netw Open 2020;3:e1919666. [PMID: 31968117 DOI: 10.1001/jamanetworkopen.2019.19666] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
35 Yang HK, Kang B, Lee SH, Yoon KH, Hwang BH, Chang K, Han K, Kang G, Cho JH. Association between hemoglobin A1c variability and subclinical coronary atherosclerosis in subjects with type 2 diabetes. J Diabetes Complications 2015;29:776-82. [PMID: 25959788 DOI: 10.1016/j.jdiacomp.2015.04.008] [Cited by in Crossref: 18] [Cited by in F6Publishing: 18] [Article Influence: 2.6] [Reference Citation Analysis]
36 Valenzuela-Garcia LF, Matsuzawa Y, Sara JD, Kwon TG, Lennon RJ, Lerman LO, Ruiz-Salmeron RJ, Lerman A. Lack of correlation between the optimal glycaemic control and coronary micro vascular dysfunction in patients with diabetes mellitus: a cross sectional study. Cardiovasc Diabetol 2015;14:106. [PMID: 26268857 DOI: 10.1186/s12933-015-0269-1] [Cited by in Crossref: 11] [Cited by in F6Publishing: 9] [Article Influence: 1.6] [Reference Citation Analysis]
37 Wang P, Huang R, Lu S, Xia W, Sun H, Sun J, Cai R, Wang S. HbA1c below 7% as the goal of glucose control fails to maximize the cardiovascular benefits: a meta-analysis. Cardiovasc Diabetol 2015;14:124. [PMID: 26392171 DOI: 10.1186/s12933-015-0285-1] [Cited by in Crossref: 16] [Cited by in F6Publishing: 14] [Article Influence: 2.3] [Reference Citation Analysis]
38 Jun JE, Jin SM, Baek J, Oh S, Hur KY, Lee MS, Lee MK, Kim JH. The association between glycemic variability and diabetic cardiovascular autonomic neuropathy in patients with type 2 diabetes. Cardiovasc Diabetol 2015;14:70. [PMID: 26041130 DOI: 10.1186/s12933-015-0233-0] [Cited by in Crossref: 58] [Cited by in F6Publishing: 53] [Article Influence: 8.3] [Reference Citation Analysis]
39 Huang D, Huang YQ, Zhang QY, Cui Y, Mu TY, Huang Y. Association Between Long-Term Visit-to-Visit Hemoglobin A1c and Cardiovascular Risk in Type 2 Diabetes: The ACCORD Trial. Front Cardiovasc Med 2021;8:777233. [PMID: 34901237 DOI: 10.3389/fcvm.2021.777233] [Reference Citation Analysis]
40 Plakht Y, Gilutz H, Shiyovich A. Changes over Time in Hemoglobin A1C (HbA1C) Levels Predict Long-Term Survival Following Acute Myocardial Infarction among Patients with Diabetes Mellitus. J Clin Med 2021;10:3232. [PMID: 34362016 DOI: 10.3390/jcm10153232] [Reference Citation Analysis]
41 Zhou JJ, Schwenke DC, Bahn G, Reaven P; VADT Investigators. Glycemic Variation and Cardiovascular Risk in the Veterans Affairs Diabetes Trial. Diabetes Care 2018;41:2187-94. [PMID: 30082325 DOI: 10.2337/dc18-0548] [Cited by in Crossref: 51] [Cited by in F6Publishing: 45] [Article Influence: 12.8] [Reference Citation Analysis]
42 Yang Y, Lee EY, Cho JH, Park YM, Ko SH, Yoon KH, Kang MI, Cha BY, Lee SH. Cardiovascular Autonomic Neuropathy Predicts Higher HbA1c Variability in Subjects with Type 2 Diabetes Mellitus. Diabetes Metab J 2018;42:496-512. [PMID: 30302965 DOI: 10.4093/dmj.2018.0026] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 1.3] [Reference Citation Analysis]
43 Bonke FC, Donnachie E, Schneider A, Mehring M. Association of the average rate of change in HbA1c with severe adverse events: a longitudinal evaluation of audit data from the Bavarian Disease Management Program for patients with type 2 diabetes mellitus. Diabetologia 2016;59:286-93. [PMID: 26518684 DOI: 10.1007/s00125-015-3797-z] [Cited by in Crossref: 16] [Cited by in F6Publishing: 14] [Article Influence: 2.3] [Reference Citation Analysis]
44 Pugliese G, Solini A, Bonora E, Orsi E, Zerbini G, Fondelli C, Gruden G, Cavalot F, Lamacchia O, Trevisan R, Vedovato M, Penno G; RIACE Study Group. Distribution of cardiovascular disease and retinopathy in patients with type 2 diabetes according to different classification systems for chronic kidney disease: a cross-sectional analysis of the renal insufficiency and cardiovascular events (RIACE) Italian multicenter study. Cardiovasc Diabetol 2014;13:59. [PMID: 24624891 DOI: 10.1186/1475-2840-13-59] [Cited by in Crossref: 21] [Cited by in F6Publishing: 19] [Article Influence: 2.6] [Reference Citation Analysis]
45 Ravona-Springer R, Heymann A, Schmeidler J, Moshier E, Guerrero-Berroa E, Soleimani L, Sano M, Leroith D, Preiss R, Tzukran R, Silverman JM, Beeri MS. Hemoglobin A1c Variability Predicts Symptoms of Depression in Elderly Individuals With Type 2 Diabetes. Diabetes Care 2017;40:1187-93. [PMID: 28634202 DOI: 10.2337/dc16-2754] [Cited by in Crossref: 16] [Cited by in F6Publishing: 16] [Article Influence: 3.2] [Reference Citation Analysis]
46 Skliros NP, Vlachopoulos C, Tousoulis D. Treatment of diabetes: Crossing to the other side. Hellenic Journal of Cardiology 2016;57:304-10. [DOI: 10.1016/j.hjc.2016.07.002] [Cited by in Crossref: 13] [Cited by in F6Publishing: 11] [Article Influence: 2.2] [Reference Citation Analysis]