1. Weykamp C. HbA1c: a review of analytical and clinical aspects. Ann Lab Med. 2013; 33(6):393–400. PMID:
24205486.
2. Stratton IM, Adler AI, Neil HA, Matthews DR, Manley SE, Cull CA, et al. Association of glycaemia with macrovascular and microvascular complications of type 2 diabetes (UKPDS 35): prospective observational study. BMJ. 2000; 321(7258):405–412. PMID:
10938048.
3. UK Prospective Diabetes Study (UKPDS) Group. Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33). Lancet. 1998; 352(9131):837–853. PMID:
9742976.
4. Ohkubo Y, Kishikawa H, Araki E, Miyata T, Isami S, Motoyoshi S, et al. Intensive insulin therapy prevents the progression of diabetic microvascular complications in Japanese patients with non-insulin-dependent diabetes mellitus: a randomized prospective 6-year study. Diabetes Res Clin Pract. 1995; 28(2):103–117. PMID:
7587918.
5. ACCORD Study Group. Cushman WC, Evans GW, Byington RP, Goff DC Jr, Grimm RH Jr, et al. Effects of intensive blood-pressure control in type 2 diabetes mellitus. N Engl J Med. 2010; 362(17):1575–1585. PMID:
20228401.
6. Yang Y, Lee EY, Cho JH, Park YM, Ko SH, Yoon KH, et al. Cardiovascular autonomic neuropathy predicts higher HbA1c variability in subjects with type 2 diabetes mellitus. Diabetes Metab J. 2018; 42(6):496–512. PMID:
30302965.
7. Li S, Nemeth I, Donnelly L, Hapca S, Zhou K, Pearson ER. Visit-to-visit HbA1c variability is associated with cardiovascular diseases and microvascular complications in patients with newly diagnosed type 2 diabetes. Diabetes Care. 2020; 43(2):426–432. PMID:
31727686.
8. 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(1):105. PMID:
32631323.
9. Wadén J, Forsblom C, Thorn LM, Gordin D, Saraheimo M, Groop PH, et al. A1C variability predicts incident cardiovascular events, microalbuminuria, and overt diabetic nephropathy in patients with type 1 diabetes. Diabetes. 2009; 58(11):2649–2655. PMID:
19651819.
10. Forbes A, Murrells T, Mulnier H, Sinclair AJ. Mean HbA
1c, HbA
1c variability, and mortality in people with diabetes aged 70 years and older: a retrospective cohort study. Lancet Diabetes Endocrinol. 2018; 6(6):476–486. PMID:
29674135.
11. Marcovecchio ML, Dalton RN, Chiarelli F, Dunger DB. A1C variability as an independent risk factor for microalbuminuria in young people with type 1 diabetes. Diabetes Care. 2011; 34(4):1011–1013. PMID:
21335371.
12. Takao T, Matsuyama Y, Yanagisawa H, Kikuchi M, Kawazu S. Association between HbA1c variability and mortality in patients with type 2 diabetes. J Diabetes Complications. 2014; 28(4):494–499. PMID:
24703414.
13. Kim HS, Kim DJ, Yoon KH. Medical big data is not yet available: why we need realism rather than exaggeration. Endocrinol Metab. 2019; 34(4):349–354.
14. Shin SY, Kim HS. Data pseudonymization in a range that does not affect data quality: correlation with the degree of participation of clinicians. J Korean Med Sci. 2021; 36(44):e299. PMID:
34783216.
15. Nathan DM. DCCT/EDIC Research Group. The diabetes control and complications trial/epidemiology of diabetes interventions and complications study at 30 years: overview. Diabetes Care. 2014; 37(1):9–16. PMID:
24356592.
16. Lind M, Svensson AM, Kosiborod M, Gudbjörnsdottir S, Pivodic A, Wedel H, et al. Glycemic control and excess mortality in type 1 diabetes. N Engl J Med. 2014; 371(21):1972–1982. PMID:
25409370.
17. Risso A, Mercuri F, Quagliaro L, Damante G, Ceriello A. Intermittent high glucose enhances apoptosis in human umbilical vein endothelial cells in culture. Am J Physiol Endocrinol Metab. 2001; 281(5):E924–E930. PMID:
11595647.
18. Downie E, Craig ME, Hing S, Cusumano J, Chan AK, Donaghue KC. Continued reduction in the prevalence of retinopathy in adolescents with type 1 diabetes: role of insulin therapy and glycemic control. Diabetes Care. 2011; 34(11):2368–2373. PMID:
22025782.
19. 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(1):33. PMID:
23399749.
20. Kim CS, Park SY, Yu SH, Kang JG, Ryu OH, Lee SJ, et al. Is A1C variability an independent predictor for the progression of atherosclerosis in type 2 diabetic patients? Korean Diabetes J. 2010; 34(3):174–181. PMID:
20617078.
21. Penno G, Solini A, Zoppini G, Orsi E, Fondelli C, Zerbini G, et al. 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(1):98. PMID:
23829205.
22. Kim HS, Kim JH. Proceed with caution when using real world data and real world evidence. J Korean Med Sci. 2019; 34(4):e28. PMID:
30686950.
23. Mita T, Katakami N, Okada Y, Yoshii H, Osonoi T, Nishida K, et al. Protocol of a prospective observational study on the relationship between glucose fluctuation and cardiovascular events in patients with type 2 diabetes. Diabetes Ther. 2019; 10(5):1565–1575. PMID:
31338757.
24. Wang MT, Tsai CL, Lo YW, Liou JT, Lee WJ, Lai IC. Risk of stroke associated with inhaled ipratropium bromide in chronic obstructive pulmonary disease: a population-based nested case-control study. Int J Cardiol. 2012; 158(2):279–284. PMID:
22386700.
25. Xu Y, Fu EL, Trevisan M, Jernberg T, Sjölander A, Clase CM, et al. Stopping renin-angiotensin system inhibitors after hyperkalemia and risk of adverse outcomes. Am Heart J. 2022; 243:177–186. PMID:
34610282.
26. Ravaut M, Sadeghi H, Leung KK, Volkovs M, Kornas K, Harish V, et al. Predicting adverse outcomes due to diabetes complications with machine learning using administrative health data. NPJ Digit Med. 2021; 4(1):24. PMID:
33580109.
27. Lei J, Ploner A, Elfström KM, Wang J, Roth A, Fang F, et al. HPV vaccination and the risk of invasive cervical cancer. N Engl J Med. 2020; 383(14):1340–1348. PMID:
32997908.
28. Dehlendorff C, Baandrup L, Kjaer SK. Real-world effectiveness of human papillomavirus vaccination against vulvovaginal high-grade precancerous lesions and cancers. J Natl Cancer Inst. 2021; 113(7):869–874. PMID:
33377930.