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For: Su G, Mi SH, Li Z, Tao H, Yang HX, Zheng H. Prognostic value of early in-hospital glycemic excursion in elderly patients with acute myocardial infarction. Cardiovasc Diabetol 2013;12:33. [PMID: 23399749 DOI: 10.1186/1475-2840-12-33] [Cited by in Crossref: 30] [Cited by in F6Publishing: 26] [Article Influence: 3.3] [Reference Citation Analysis]
Number Citing Articles
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2 Pu Z, Lai L, Yang X, Wang Y, Dong P, Wang D, Xie Y, Han Z. Acute glycemic variability on admission predicts the prognosis in hospitalized patients with coronary artery disease: a meta-analysis. Endocrine 2020;67:526-34. [PMID: 31828526 DOI: 10.1007/s12020-019-02150-1] [Cited by in Crossref: 10] [Cited by in F6Publishing: 9] [Article Influence: 3.3] [Reference Citation Analysis]
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4 Li H, Lu C, Xu L, Tian N, Gao X, Fan Z, Ye L, Chen S, Ma J, Su X. The relationship between GRACE risk score and glucose fluctuation in patients with acute coronary syndrome and abnormal glucose metabolism. Int J Diabetes Dev Ctries 2018;38:195-201. [DOI: 10.1007/s13410-017-0576-z] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.2] [Reference Citation Analysis]
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6 Klempfner R, Elis A, Matezky S, Keren G, Roth A, Finkelstein A, Banai S, Goldenberg I, Fisman EZ, Tenenbaum A, Arbel Y. Temporal trends in management and outcome of diabetic and non-diabetic patients with acute coronary syndrome (ACS): Residual risk of long-term mortality persists. International Journal of Cardiology 2015;179:546-51. [DOI: 10.1016/j.ijcard.2014.10.116] [Cited by in Crossref: 20] [Cited by in F6Publishing: 20] [Article Influence: 2.9] [Reference Citation Analysis]
7 Mehta Y, Mithal A, Kulkarni A, Reddy BR, Sharma J, Dixit S, Zirpe K, Sivakumar MN, Bathina H, Chakravarti S, Joshi A, Rao S. Practice Guidelines for Enteral Nutrition Management in Dysglycemic Critically Ill Patients: A Relook for Indian Scenario. Indian J Crit Care Med 2019;23:594-603. [PMID: 31988554 DOI: 10.5005/jp-journals-10071-23298] [Reference Citation Analysis]
8 Taya N, Katakami N, Mita T, Okada Y, Wakasugi S, Yoshii H, Shiraiwa T, Otsuka A, Umayahara Y, Ryomoto K, Hatazaki M, Yasuda T, Yamamoto T, Gosho M, Shimomura I, Watada H. Associations of continuous glucose monitoring-assessed glucose variability with intima-media thickness and ultrasonic tissue characteristics of the carotid arteries: a cross-sectional analysis in patients with type 2 diabetes. Cardiovasc Diabetol 2021;20:95. [PMID: 33947398 DOI: 10.1186/s12933-021-01288-5] [Reference Citation Analysis]
9 Derosa G, Franzetti I, Querci F, D'Angelo A, Maffioli P. Effect of Acarbose on Glycemic Variability in Patients with Poorly Controlled Type 2 Diabetes Mellitus Receiving Stable Background Therapy: A Placebo-Controlled Trial. Pharmacotherapy 2015;35:983-90. [PMID: 26598090 DOI: 10.1002/phar.1648] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 0.7] [Reference Citation Analysis]
10 Iuchi H, Sakamoto M, Matsutani D, Suzuki H, Horiuchi R, Utsunomiya K. The Durability of Basal Insulin Affects Day-to-Day Glycemic Variability Assessed by Continuous Glucose Monitoring in Type 2 Diabetes Patients: A Randomized Crossover Trial. Diabetes Technol Ther 2017;19:457-62. [PMID: 28605286 DOI: 10.1089/dia.2017.0028] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 1.6] [Reference Citation Analysis]
11 Maeda Y, Nakamura N, Tsujimoto T, Sugano N. Higher blood glucose and larger fluctuations detected postoperatively using continuous glucose monitoring: a preliminary study following total knee or hip arthroplasty. J Exp Orthop 2019;6:15. [PMID: 30937670 DOI: 10.1186/s40634-019-0181-9] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]
12 Matsutani D, Sakamoto M, Iuchi H, Minato S, Suzuki H, Kayama Y, Takeda N, Horiuchi R, Utsunomiya K. Glycemic variability in continuous glucose monitoring is inversely associated with baroreflex sensitivity in type 2 diabetes: a preliminary report. Cardiovasc Diabetol 2018;17:36. [PMID: 29514695 DOI: 10.1186/s12933-018-0683-2] [Cited by in Crossref: 22] [Cited by in F6Publishing: 17] [Article Influence: 5.5] [Reference Citation Analysis]
13 Chen CL, Yen DH, Lin CS, Tsai SH, Chen SJ, Sheu WH, Hsu CW. Glycated hemoglobin level is an independent predictor of major adverse cardiac events after nonfatal acute myocardial infarction in nondiabetic patients: A retrospective observational study. Medicine (Baltimore) 2017;96:e6743. [PMID: 28471967 DOI: 10.1097/MD.0000000000006743] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 1.2] [Reference Citation Analysis]
14 Takahashi H, Iwahashi N, Kirigaya J, Kataoka S, Minamimoto Y, Gohbara M, Abe T, Okada K, Matsuzawa Y, Konishi M, Maejima N, Hibi K, Kosuge M, Ebina T, Tamura K, Kimura K. Glycemic variability determined with a continuous glucose monitoring system can predict prognosis after acute coronary syndrome. Cardiovasc Diabetol 2018;17:116. [PMID: 30121076 DOI: 10.1186/s12933-018-0761-5] [Cited by in Crossref: 31] [Cited by in F6Publishing: 27] [Article Influence: 7.8] [Reference Citation Analysis]
15 Kwak SH, Hwang YC, Won JC, Bae JC, Kim HJ, Suh S, Lee EY, Lee S, Kim SY, Kim JH. Comparison of the effects of gemigliptin and dapagliflozin on glycaemic variability in type 2 diabetes: A randomized, open-label, active-controlled, 12-week study (STABLE II study). Diabetes Obes Metab 2020;22:173-81. [PMID: 31502749 DOI: 10.1111/dom.13882] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 2.3] [Reference Citation Analysis]
16 Klimontov VV, Myakina NE. Glycaemic variability in diabetes: a tool for assessing the quality of glycaemic control and the risk of complications. Diabetes mellitus 2014;17:76-82. [DOI: 10.14341/dm2014276-82] [Cited by in Crossref: 16] [Article Influence: 2.0] [Reference Citation Analysis]
17 Miyoshi M, Uzui H, Shimizu T, Aiki T, Shiomi Y, Nodera M, Ikeda H, Tama N, Hasegawa K, Morishita T, Ishida K, Miyazaki S, Tada H. Significance of day-to-day glucose variability in patients after acute coronary syndrome. BMC Cardiovasc Disord 2021;21:490. [PMID: 34629051 DOI: 10.1186/s12872-021-02303-z] [Reference Citation Analysis]
18 Xu F, Zhao LH, Su JB, Chen T, Wang XQ, Chen JF, Wu G, Jin Y, Wang XH. The relationship between glycemic variability and diabetic peripheral neuropathy in type 2 diabetes with well-controlled HbA1c. Diabetol Metab Syndr. 2014;6:139. [PMID: 25530811 DOI: 10.1186/1758-5996-6-139] [Cited by in Crossref: 55] [Cited by in F6Publishing: 50] [Article Influence: 6.9] [Reference Citation Analysis]
19 Akasaka T, Sueta D, Tabata N, Takashio S, Yamamoto E, Izumiya Y, Tsujita K, Kojima S, Kaikita K, Matsui K, Hokimoto S. Effects of the Mean Amplitude of Glycemic Excursions and Vascular Endothelial Dysfunction on Cardiovascular Events in Nondiabetic Patients With Coronary Artery Disease. J Am Heart Assoc 2017;6:e004841. [PMID: 28446494 DOI: 10.1161/JAHA.116.004841] [Cited by in Crossref: 10] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
20 Nomoto H, Miyoshi H, Sugawara H, Ono K, Yanagiya S, Oita M, Nakamura A, Atsumi T. A randomized controlled trial comparing the effects of dapagliflozin and DPP-4 inhibitors on glucose variability and metabolic parameters in patients with type 2 diabetes mellitus on insulin. Diabetol Metab Syndr 2017;9:54. [PMID: 28725273 DOI: 10.1186/s13098-017-0255-8] [Cited by in Crossref: 21] [Cited by in F6Publishing: 20] [Article Influence: 4.2] [Reference Citation Analysis]
21 Chattopadhyay S, George A, John J, Sathyapalan T. Postload glucose spike but not fasting glucose determines prognosis after myocardial infarction in patients without known or newly diagnosed diabetes. J Diabetes 2021;13:191-9. [PMID: 32910560 DOI: 10.1111/1753-0407.13111] [Reference Citation Analysis]
22 She J, Deng Y, Wu Y, Xia Y, Li H, Liang X, Shi R, Yuan Z. Hemoglobin A1c is associated with severity of coronary artery stenosis but not with long term clinical outcomes in diabetic and nondiabetic patients with acute myocardial infarction undergoing primary angioplasty. Cardiovasc Diabetol 2017;16:97. [PMID: 28789650 DOI: 10.1186/s12933-017-0578-7] [Cited by in Crossref: 15] [Cited by in F6Publishing: 18] [Article Influence: 3.0] [Reference Citation Analysis]
23 Zhang JW, He LJ, Cao SJ, Yang Q, Yang SW, Zhou YJ. Effect of glycemic variability on short term prognosis in acute myocardial infarction subjects undergoing primary percutaneous coronary interventions. Diabetol Metab Syndr 2014;6:76. [PMID: 25013458 DOI: 10.1186/1758-5996-6-76] [Cited by in Crossref: 26] [Cited by in F6Publishing: 19] [Article Influence: 3.3] [Reference Citation Analysis]
24 Ito T, Ichihashi T, Fujita H, Sugiura T, Yamamoto J, Kitada S, Nakasuka K, Kawada Y, Ohte N. The impact of intraday glucose variability on coronary artery spasm in patients with dysglycemia. Heart Vessels 2019;34:1250-7. [PMID: 30712094 DOI: 10.1007/s00380-019-01353-w] [Cited by in Crossref: 9] [Cited by in F6Publishing: 7] [Article Influence: 3.0] [Reference Citation Analysis]
25 Matsutani D, Sakamoto M, Minato S, Kayama Y, Takeda N, Horiuchi R, Utsunomiya K. Visit-to-visit HbA1c variability is inversely related to baroreflex sensitivity independently of HbA1c value in type 2 diabetes. Cardiovasc Diabetol 2018;17:100. [PMID: 29991356 DOI: 10.1186/s12933-018-0743-7] [Cited by in Crossref: 7] [Cited by in F6Publishing: 8] [Article Influence: 1.8] [Reference Citation Analysis]
26 Aberer F, Lichtenegger KM, Smajic E, Donsa K, Malle O, Samonigg J, Höll B, Beck P, Pieber TR, Plank J, Mader JK. GlucoTab-guided insulin therapy using insulin glargine U300 enables glycaemic control with low risk of hypoglycaemia in hospitalized patients with type 2 diabetes. Diabetes Obes Metab 2019;21:584-91. [PMID: 30328252 DOI: 10.1111/dom.13559] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 1.8] [Reference Citation Analysis]