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Glycemic Variation and Cardiovascular Risk in the Veterans Affairs Diabetes Trial
Open accessAbstract
OBJECTIVE: There is uncertainty about the importance of glycemic variability in cardiovascular complications in patients with type 2 diabetes. Using the Veterans Affairs Diabetes Trial (VADT), we investigated the association between variation in fasting glucose and glycated hemoglobin (HbA1c) over time and the incidence of cardiovascular disease (CVD) and assessed whether this is influenced by intensive or standard glycemic control. RESEARCH DESIGN AND METHODS: During the VADT, fasting glucose and HbA1c were measured every 3 months for up to 84 months in 1,791 individuals. Variability measures included coefficient of variation (CV) and average real variability (ARV) for fasting glucose and HbA1c. Overall mean glucose and HbA1c measures as well as their maximum and the most recent measurement were also examined. RESULTS: Variability measures (CV and ARV) of fasting glucose were significantly associated with CVD even after adjusting for other risk factors, including mean fasting glucose. When considering separately groups receiving intensive and standard glycemic control, this relationship was evident in the intensive treatment group but not in the standard group. Additional adjustment for severe hypoglycemic episodes did not alter the relationship between fasting glucose variability and CVD. Interestingly, no HbA1c measures were associated with CVD after adjusting for multiple baseline risk factors. CONCLUSIONS: Our analysis indicates that in the VADT, variability of fasting glucose plays a role in the development of CVD complications beyond the influence of standard fasting glucose measures. The adverse consequences of fasting glucose variability on CVD appear greatest in those receiving intensive glucose control.
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“CV and ARV of FG were significantly associated with CVD: CV glucose: p=0.003, OR 1.162 (1.054–1.281); ARV glucose: p=0.0006, OR 1.168 (1.069–1.275).”
From Glycemic variability and cardiovascular disease in patients with type 2 diabetes (2021) · cites this paper as [51]
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“The results showed a significant association between variability of fasting glucose and cardiovascular disease even after adjusting for different risk factors, including mean fasting glucose.”
From Glycemic variability and cardiovascular disease in patients with type 2 diabetes (2021) · cites this paper as [51]
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“Conversely, the association was not present for HbA1c variability.”
From Glycemic variability and cardiovascular disease in patients with type 2 diabetes (2021) · cites this paper as [51]
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Cites
(1993) · New England Journal of Medicine · doi:10.1056/nejm199309303291401 · Cited by 24,667
Turner, R. C., Fox, C., Matthews, McElroy, H. H., Cull, C. A., Holman, R. R., Neil, P., Hadden, D. R., Wright, D., Manley, E., et al. (1998) · The Lancet · Cited by 8,419
Effects of Intensive Glucose Lowering in Type 2 Diabetes
(2008) · New England Journal of Medicine · doi:10.1056/nejmoa0802743 · Cited by 7,888
10-year follow-up of intensive glucose control in type 2 diabetes
Holman, R. R., Paul, S. K., Bethel, M. A., Matthews, D. R., & Neil, H. A. W. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0806470 · Cited by 7,751
Intensive diabetes treatment and cardiovascular disease in patients with type 1 diabetes
(2005) · New England Journal of Medicine · doi:10.1056/nejmoa052187 · Cited by 5,138
Glucose control and vascular complications in veterans with type 2 diabetes
Duckworth, W., Abraira, C., Moritz, T., Reda, D., Emanuele, N., Reaven, P. D., Zieve, F. J., Marks, J., Davis, S. N., Hayward, R., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0808431 · Cited by 4,762
Self-citationDormandy, J. A., Charbonnel, B., Eckland, D. J., Erdmann, E., Massi-Benedetti, M., Moules, I. K., Skene, A. M., Tan, M. H., Lefèbvre, P. J., Murray, G. D., et al. (2005) · The Lancet · doi:10.1016/s0140-6736(05)67528-9 · Cited by 4,129
Gupta, A., & Uribarri, J. (2016) · Hormone Research in Paediatrics · doi:10.1159/000444053 · Cited by 4,023
Severe hypoglycemia and risks of vascular events and death
Zoungas, S., Patel, A., Chalmers, J., de Galan, B. E., Li, Q., Billot, L., Woodward, M., Ninomiya, T., Neal, B., MacMahon, S., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa1003795 · Cited by 1,471
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Virani, S. S., Alonso, A., Benjamin, E. J., Bittencourt, M. S., Callaway, C. W., Carson, A. P., Chamberlain, A. M., Chang, A. R., Cheng, S., Delling, F. N., et al. (2020) · Circulation · doi:10.1161/cir.0000000000000757 · Cited by 9,175
Heart Disease and Stroke Statistics—2021 Update: A Report From the American Heart Association
Virani, S. S., Alonso, A., Aparicio, H. J., Benjamin, E. J., Bittencourt, M. S., Callaway, C. W., Carson, A. P., Chamberlain, A. M., Cheng, S., Delling, F. N., et al. (2021) · Circulation · doi:10.1161/cir.0000000000000950 · Cited by 5,784
Cosentino, F., Grant, P. J., Aboyans, V., Bailey, C. J., Ceriello, A., Delgado, V., Federici, M., Filippatos, G., Grobbee, D. E., Hansen, T. B., et al. (2020) · European Heart Journal · doi:10.1093/eurheartj/ehz486 · Cited by 4,763
Glycemic variability: adverse clinical outcomes and how to improve it?
Zhou, Z. G., Sun, B., Huang, S., Zhu, C., & Bian, M. (2020) · Cardiovascular Diabetology · doi:10.1186/s12933-020-01085-6 · Cited by 273
Sun, B., Luo, Z., & Zhou, J. (2021) · Cardiovascular Diabetology · doi:10.1186/s12933-020-01200-7 · Cited by 168
Self-citationVariability of risk factors and diabetes complications
Ceriello, A., & Prattichizzo, F. (2021) · Cardiovascular Diabetology · doi:10.1186/s12933-021-01289-4 · Cited by 186
Echouffo-Tcheugui, J. B., Zhao, S., Brock, G. N., Matsouaka, R., Kline, D., & Joseph, J. J. (2019) · Diabetes Care · doi:10.2337/dc18-1430 · Cited by 162
Glycemic variability and cardiovascular disease in patients with type 2 diabetes
Martinez, M., Santamarina, J., Pavesi, A., Musso, C., & Umpierrez, G. E. (2021) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2020-002032 · Cited by 155
Li, S., Németh, I., Donnelly, L. A., Hapca, S. M., Zhou, K., & Pearson, E. R. (2019) · Diabetes Care · doi:10.2337/dc19-0823 · Cited by 144
Glycaemic management in diabetes: old and new approaches
Ceriello, A., Prattichizzo, F., Phillip, M., Hirsch, I. B., Mathieu, C., & Battelino, T. (2021) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(21)00245-x · Cited by 149
Glucose Variability: How Does It Work?
Klimontov, V. V., Saik, O., & Korbut, A. I. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22157783 · Cited by 133
Su, W., Chen, S., Huang, Y.-T., Huang, J., Wu, P.-Y., Hsu, W., & Lee, M. (2019) · Nutrients · doi:10.3390/nu11112838 · Cited by 113
Prognostic Significance of Long-term HbA1c Variability for All-Cause Mortality in the ACCORD Trial
Sheng, C., Tian, J., Miao, Y., Cheng, Y., Yang, Y., Reaven, P. D., Bloomgarden, Z. T., & Ning, G. (2020) · Diabetes Care · doi:10.2337/dc19-2589 · Cited by 114
Self-citationSartore, G., Ragazzi, E., Caprino, R., & Lapolla, A. (2023) · Acta Diabetologica · doi:10.1007/s00592-023-02037-8 · Cited by 106
Glycemic Variability and CNS Inflammation: Reviewing the Connection
Watt, C., RANGEL, E. S., & Hwang, J. J. (2020) · Nutrients · doi:10.3390/nu12123906 · Cited by 89
Ceriello, A., Lucisano, G., Prattichizzo, F., Grotta, R. L., Franzén, S., Svensson, A., Eliasson, B., & Nicolucci, A. (2022) · Cardiovascular Diabetology · doi:10.1186/s12933-022-01445-4 · Cited by 78
Scott, E. S., Januszewski, A. S., O’Connell, R., Fulcher, G., Scott, R., Kesaniemi, A., Wu, L., Colagiuri, S., Keech, A., & Jenkins, A. J. (2020) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgaa361 · Cited by 70
Segar, M. W., Patel, K. V., Vaduganathan, M., Caughey, M. C., Butler, J., Fonarow, G. C., Grodin, J. L., McGuire, D. K., & Pandey, A. (2020) · Diabetes Care · doi:10.2337/dc19-2541 · Cited by 70
Glucose variability: a new risk factor for cardiovascular disease
Belli, M., Bellia, A., Sergi, D., Barone, L., Lauro, D., & Barillà, F. (2023) · Acta Diabetologica · doi:10.1007/s00592-023-02097-w · Cited by 68
Glucose Variability and Diabetic Complications: Is It Time to Treat?
Ceriello, A. (2020) · Diabetes Care · doi:10.2337/dci20-0012 · Cited by 59
Pei, J., Wang, X., Pei, Z., & Hu, X. (2023) · Cardiovascular Diabetology · doi:10.1186/s12933-023-02026-9 · Cited by 59
Yu, Z., Zhu, Y., Li, D., Wu, M., Tang, M., Wang, J., & Chen, K. (2019) · Diabetologia · doi:10.1007/s00125-019-04986-8 · Cited by 58
Lee, D. Y., Han, K., Park, S. H., Yu, J. H., Seo, J. A., Kim, N. H., Yoo, H. J., Kim, S. G., Choi, K. M., Baik, S. H., et al. (2020) · Cardiovascular Diabetology · doi:10.1186/s12933-020-01134-0 · Cited by 58
Correlation Between Glycemic Variability and Diabetic Complications: A Narrative Review
Huang, L., Pan, Y., Zhou, K., Liu, H., & Zhong, S. (2023) · International Journal of General Medicine · doi:10.2147/ijgm.s418520 · Cited by 54
Particularities of Urinary Tract Infections in Diabetic Patients: A Concise Review
Confederat, L. G., Condurache, I., Alexa, R.-E., & Dragostin, O.-M. (2023) · Medicina · doi:10.3390/medicina59101747 · Cited by 62
Gentile, S., Guarino, G., Corte, T. D., Marino, G., Fusco, A., Corigliano, G., Colarusso, S., Piscopo, M., Improta, M. R., Corigliano, M., et al. (2020) · Diabetes Therapy · doi:10.1007/s13300-020-00876-0 · Cited by 50
GWAS of longitudinal trajectories at biobank scale
Ko, S., German, C., Jensen, A. E., Shen, J., Wang, A., Mehrotra, D. V., Sun, Y. V., Sinsheimer, J. S., Zhou, H., & Zhou, J. J. (2022) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2022.01.018 · Cited by 41
Self-citationSlieker, R. C., van der Heijden, A. A. W. A., Nijpels, G., Elders, P. J. M., Hart, L. M. ‘., & Beulens, J. W. J. (2019) · Cardiovascular Diabetology · doi:10.1186/s12933-019-0975-1 · Cited by 44
Ceriello, A., Ofstad, A. P., Zwiener, I., Kaspers, S., George, J. T., & Nicolucci, A. (2020) · Cardiovascular Diabetology · doi:10.1186/s12933-020-01147-9 · Cited by 45
Besch, G., Pili‐Floury, S., Morel, C., Gilard, M., Flicoteaux, G., du Mont, L. S., Perrotti, A., Meneveau, N. F., Chocron, S., Schiele, F., et al. (2019) · Cardiovascular Diabetology · doi:10.1186/s12933-019-0831-3 · Cited by 43
Kaze, A. D., Santhanam, P., Erqou, S., Ahima, R. S., & Echouffo-Tcheugui, J. B. (2020) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2020-001753 · Cited by 40
Significance of Glycemic Variability in Diabetes Mellitus
Kusunoki, Y., Konishi, K., Tsunoda, T., & Koyama, H. (2022) · Internal Medicine · doi:10.2169/internalmedicine.8424-21 · Cited by 40
Liu, Q., You, N., Pan, H., Shen, Y., Lü, P., Wang, J., Lu, W., Zhu, L., & Martínez, L. (2021) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.202007-2634oc · Cited by 42
Bancks, M. P., Carson, A. P., Lewis, C. E., Gunderson, E. P., Reis, J. P., Schreiner, P. J., Yano, Y., & Carnethon, M. R. (2019) · Diabetologia · doi:10.1007/s00125-019-4901-6 · Cited by 36
Cho, E. J., Han, K., Lee, S., Shin, D. W., & Yu, S. J. (2020) · Liver International · doi:10.1111/liv.14432 · Cited by 35
Oduro, P. K., Fang, J., Niu, L., Li, Y., Li, L., Zhao, X., & Wang, Q. (2020) · Pharmacological Research · doi:10.1016/j.phrs.2020.104893 · Cited by 31
Edward, J. A., Josey, K., Bahn, G., Caplan, L., Reusch, J. E. B., Reaven, P. D., Ghosh, D., & Raghavan, S. (2022) · Cardiovascular Diabetology · doi:10.1186/s12933-022-01496-7 · Cited by 32
Self-citationHuang, Y., Yue, L., Qiu, J., Gao, M., Liu, S., & Wang, J. (2022) · Hormone and Metabolic Research · doi:10.1055/a-1880-0978 · Cited by 31
Monnier, L., Colette, C., Schlienger, J.-L., Bauduceau, B., & Owens, D. R. (2019) · Diabetes & Metabolism · doi:10.1016/j.diabet.2019.01.007 · Cited by 29
Review of the veteran affairs diabetes trial: Lessons learned
Tran, K., & Reaven, P. D. (2020) · Reviews in Endocrine and Metabolic Disorders · doi:10.1007/s11154-020-09558-5 · Cited by 27
Self-citationRezende, P. C., Hlatky, M. A., Hueb, W. A., Garcia, R. M. R., Selistre, L. D. S., Lima, E. G., Garzillo, C. L., Scudeler, T. L., Boros, G. A. B., Ribas, F. F., et al. (2020) · JAMA Network Open · doi:10.1001/jamanetworkopen.2019.19666 · Cited by 28
Li, S., Tang, X., Luo, Y., Wu, B., Huang, Z., Li, Z., Peng, L., Ling, Y., Zhu, J., Zhong, J., et al. (2020) · Cardiovascular Diabetology · doi:10.1186/s12933-020-01126-0 · Cited by 27
Glycaemic variation is a predictor of all-cause mortality in the Veteran Affairs Diabetes Trial
Zhou, J. J., Koška, J., Bahn, G., & Reaven, P. D. (2019) · Diabetes and Vascular Disease Research · doi:10.1177/1479164119827598 · Cited by 27
Self-citationYang, C. D., Shen, Y. H., Ding, F. H., YANG, Z. K., Hu, J., Shen, W. F., Zhang, R., Lu, L., & Wang, X. Q. (2020) · Cardiovascular Diabetology · doi:10.1186/s12933-020-01112-6 · Cited by 27
Barzegar, N., Ramezankhani, A., Tohidi, M., Azizi, F., & Hadaegh, F. (2021) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2021.108942 · Cited by 27
Association between Variability of Metabolic Risk Factors and Cardiometabolic Outcomes
Park, M., & Choi, K. M. (2022) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2021.0316 · Cited by 25
Bai, W., Zhang, Y., Ma, J., Du, M., Xu, H., Wang, J., Zhang, L., Li, W., Hou, Y., Liu, X., et al. (2023) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-022-04680-w · Cited by 26
Fasting Glucose Variation Predicts Microvascular Risk in ACCORD and VADT
Zhou, J. J., Koška, J., Bahn, G., & Reaven, P. D. (2020) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgaa941 · Cited by 24
Self-citationBi, J., Song, L., Wang, L., Wu, M., Chen, S., Wang, Y., Wu, S., & Tian, Y. (2021) · Cardiovascular Diabetology · doi:10.1186/s12933-021-01397-1 · Cited by 25
Person‐Centered Primary Care and Type 2 Diabetes: Beyond Blood Glucose Control
Trout, K. K., McCool, W. F., & Homko, C. J. (2019) · Journal of Midwifery & Women s Health · doi:10.1111/jmwh.12973 · Cited by 34
Gentile, S., Strollo, F., Satta, E., Corte, T. D., Romano, C., & Guarino, G. (2019) · Diabetes Therapy · doi:10.1007/s13300-019-0650-2 · Cited by 23
Zhou, J. J., Nuyujukian, D. S., & Reaven, P. D. (2021) · Current Cardiology Reports · doi:10.1007/s11886-021-01454-x · Cited by 21
Self-citationCardiovascular Risk/Disease in Type 2 Diabetes Mellitus
Román, G., & Stoian, A. P. (2021) · IntechOpen eBooks · doi:10.5772/intechopen.97422 · Cited by 26
Feng, W., Li, Z., Guo, W., Fan, X., Zhou, F., Zhang, K., Ou, C., Huang, F., & Chen, M. (2020) · Diabetes Care · doi:10.2337/dc20-0838 · Cited by 19
Lipohypertrophy in Elderly Insulin-Treated Patients With Type 2 Diabetes
the AMD-OSDI Study Group on Injection Techniques, Gentile, S., Guarino, G., Corte, T. D., Marino, G., Fusco, A., Corigliano, G., Colarusso, S., Piscopo, M., Improta, M. R., et al. (2020) · Diabetes Therapy · doi:10.1007/s13300-020-00954-3 · Cited by 21
Extrinsic and intrinsic factors influencing metabolic memory in type 2 diabetes
Vasishta, S., Umakanth, S., Adiga, P. K., & Joshi, M. B. (2021) · Vascular Pharmacology · doi:10.1016/j.vph.2021.106933 · Cited by 21
Koška, J., Nuyujukian, D. S., Bahn, G., Zhou, J. J., & Reaven, P. D. (2021) · Cardiovascular Diabetology · doi:10.1186/s12933-021-01418-z · Cited by 19
Self-citationChristensen, M. B., Serifovski, N., Herz, A. M. H., Schmidt, S., Hommel, E. E., RAIMOND, L. H., Perrild, H., Gotfredsen, A., Gæde, P., & Nørgaard, K. (2020) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2020.0276 · Cited by 20
Protection of diabetes in aortic abdominal aneurysm: Are antidiabetics the real effectors?
Picatoste, B., Cerro-Pardo, I., Blanco‐Colio, L. M., & Martı́n-Ventura, J. L. (2023) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2023.1112430 · Cited by 16
Li, C.-I., Cheng, H.-M., Liu, C.-S., Lin, C., Lin, W.-Y., Wang, M.-C., Yang, S.-Y., Lin, C., & Lin, C. (2019) · Diabetologia · doi:10.1007/s00125-019-05012-7 · Cited by 15
Lartey, A. H., Li, X., Li, Z., Zhang, Q., & Wang, J. (2021) · BMC Public Health · doi:10.1186/s12889-021-10367-x · Cited by 15
Nuyujukian, D. S., Zhou, J. J., Koska, J., & Reaven, P. D. (2021) · Journal of Hypertension · doi:10.1097/hjh.0000000000002931 · Cited by 14
Self-citationTseng, J., Chen, H., Huang, K., Hsu, S.-P., & Chen, C. (2020) · Diabetes Obesity and Metabolism · doi:10.1111/dom.13951 · Cited by 13
Dambha-Miller, H., Hounkpatin, H. O., Stuart, B., Farmer, A., & Griffin, S. (2023) · PLOS ONE · doi:10.1371/journal.pone.0290791 · Cited by 13
Jang, H., Lee, S., An, S., Park, Y., Kim, S.-J., Cheon, B. K., Kim, J. H., Kim, H. J., Na, D. L., Kim, J. P., et al. (2023) · Neurology · doi:10.1212/wnl.0000000000207806 · Cited by 14
German, C., Sinsheimer, J. S., Zhou, J. J., & Zhou, H. (2021) · Biometrics · doi:10.1111/biom.13506 · Cited by 15
Self-citationSchaich, C. L., Bancks, M. P., Hayden, K. M., Ding, J., Rapp, S. R., Bertoni, A. G., Heckbert, S. R., Hughes, T. M., & Mongraw‐Chaffin, M. (2023) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgad444 · Cited by 12
Wu, M., Lu, J., Yang, Z., Shen, P., Yu, Z., Tang, M., Jin, M., Lin, H., Chen, K., & Wang, J. (2021) · Cancer Medicine · doi:10.1002/cam4.4070 · Cited by 11
Intensive Glucose Control and Type 2 Diabetes — 15 Years On
Reaven, P. D., Hayward, R. A., & Zhou, J. J. (2019) · New England Journal of Medicine · doi:10.1056/nejmc1909041 · Cited by 11
Self-citationYeh, S., Ooi, S.-W., Chang, Y., Li, C., & Chen, H.-F. (2022) · Medicine · doi:10.1097/md.0000000000029942 · Cited by 10
Wang, S., Song, S., Gao, J., Duo, Y., Gao, Y., Fu, Y., Dong, Y., Yuan, T., & Zhao, W. (2024) · Diabetes Obesity and Metabolism · doi:10.1111/dom.15861 · Cited by 15
Nyström, T., Schwarz, E., Dahlqvist, S., Wijkman, M. O., Ekelund, M., Holmer, H., Bolinder, J., Hellman, J., Imberg, H., Hirsch, I. B., et al. (2022) · Journal of Diabetes Science and Technology · doi:10.1177/19322968221101916 · Cited by 10
Epigenetics in the Development of Diabetic Cardiomyopathy
Pepin, M. E., & Wende, A. R. (2019) · Epigenomics · doi:10.2217/epi-2019-0027 · Cited by 10
Chung, H. S., Hwang, S. Y., Kim, J. A., Roh, E., Yoo, H. J., Baik, S. H., Kim, N. H., Seo, J. A., Kim, S. G., Kim, N. H., et al. (2022) · Cardiovascular Diabetology · doi:10.1186/s12933-022-01448-1 · Cited by 11
Wang, Y., Zhou, J., Qi, W., Zhang, N., Tse, G., Li, G., Wu, S., & Liu, T. (2023) · Current Problems in Cardiology · doi:10.1016/j.cpcardiol.2023.101842 · Cited by 10
Self-citationHsiao, F., Chan, Y., Tung, Y., Lin, C., Lee, T., Wang, Y.-C., & Chu, P. (2023) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgad203 · Cited by 8
Marcotte‐Chénard, A., Tremblay, R., Deslauriers, L., Geraldes, P., Gayda, M., Christou, D., Mampuya, W. M., Little, J. P., & Riesco, É. (2023) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/apnm-2023-0326 · Cited by 9
Zhang, F., Shi, T., Feng, X., Shi, Y., Zhang, G., Liu, Y., & Fu, P. (2023) · BMC Nephrology · doi:10.1186/s12882-023-03348-2 · Cited by 8
Felício, J. S., de Moraes, L. V., Lemos, G., de Souza, Í. J. A., Vieira, G. C., Silva, L. D. S. D., de Queiroz, N. N. M., Souza, A. C., de Melo, F. T. C., Neto, J. F. A., et al. (2024) · Scientific Reports · doi:10.1038/s41598-024-56934-1 · Cited by 10
Carey, I. M., Critchley, J., Chaudhry, U. A. R., Cook, D. G., DeWilde, S., Limb, E. S., Bowen, L., Woolford, S. J., Whincup, P. H., Sattar, N. A., et al. (2024) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2024.111641 · Cited by 8
Lee, D. Y., Kim, J., Park, S. H., Park, S. Y., Yu, J. H., Seo, J. A., Kim, N. H., Yoo, H. J., Kim, S. G., Choi, K. M., et al. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10245948 · Cited by 8
Sun, B., Gao, Y., He, F., Liu, Z., Zhou, J., Wang, X., & Zhang, W. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.1052485 · Cited by 8
Self-citationKim, D. H., Jensen, A. E., Jones, K., Raghavan, S., Phillips, L. S., Hung, A. M., Sun, Y. V., Li, G., Reaven, P. D., Zhou, H., et al. (2023) · JAMIA Open · doi:10.1093/jamiaopen/ooad006 · Cited by 6
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2. Glycaemic control assessment and targets in type 2 diabetes
Colagiuri, S., & Ceriello, A. (2025) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2025.112146 · Cited by 7
Sugimoto, H., Hironaka, K., Yamada, T., Otowa‐Suematsu, N., Hirota, Y., Otake, H., Hirata, K., Sakaguchi, K., Ogawa, W., & Kuroda, S. (2025) · eLife · doi:10.7554/elife.102860 · Cited by 5
Low Blood Glucose Index Associated with Cardiovascular Events in Diabetic Hemodialysis Patients
He, R., Xuan, Y., Zhu, L., Pang, S., Qin, L., Tian, J., & Yuan, J. (2023) · Blood Purification · doi:10.1159/000531964 · Cited by 5
Triglyceride-glucose index variability and risk of all-cause and cardiovascular mortality
Park, J., Kim, D. H., & Lee, J. (2025) · Scientific Reports · doi:10.1038/s41598-025-21324-8 · Cited by 6
Zhao, G., Yu, X., Wang, L., Jin, Y., Yang, A., Sun, F., Wang, X., Jing, X., & Gao, B. (2023) · Scientific Reports · doi:10.1038/s41598-023-45846-1 · Cited by 4
Gentile, S., Satta, E., Strollo, F., Guarino, G., Romano, C., Corte, T. D., & Alfarone, C. (2021) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2021.05.018 · Cited by 4
Nuyujukian, D. S., Newell, M., Zhou, J. J., Koška, J., & Reaven, P. D. (2022) · Diabetes Obesity and Metabolism · doi:10.1111/dom.14649 · Cited by 4
Self-citationYang, C. D., Chen, J. W., Quan, J. W., Shu, X. Y., Feng, S., Aihemaiti, M., Ding, F. H., Shen, W. F., Lu, L., Zhang, R., et al. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1211954 · Cited by 4
Cho, J. M., Han, K., Joo, K. W., Lee, S., Kim, Y., Cho, S., Huh, H., Kim, S. G., Kim, M., Kang, E., et al. (2024) · Kidney Research and Clinical Practice · doi:10.23876/j.krcp.23.135 · Cited by 4
Landau, J., Tiram, Y., & Ilan, Y. (2025) · Biomedicines · doi:10.3390/biomedicines13112645 · Cited by 4
Gan, Y., Chen, M., Kong, L., Wu, J., Pu, Y. D., Wang, X., Zhou, J., Fan, X., Xiong, Z., & Qi, H. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1216897 · Cited by 4
Self-citationMasrouri, S., Hasanpour, A., Ebrahimi, N., & Hadaegh, F. (2025) · Cardiovascular Diabetology · doi:10.1186/s12933-025-02968-2 · Cited by 3
Wu, L., Li, F., Wang, C., Dang, S., Xiao, F., Zhang, Z., Zhang, J., Zhang, Y., Lu, C.-Y., Liu, Y., et al. (2022) · Cardiology Discovery · doi:10.1097/cd9.0000000000000055 · Cited by 2
Insulin Treatment of Diabetes Mellitus-Tight vs. Conventional Control
Emanuele, N., & Reaven, P. D. (2023) · Contemporary cardiology · doi:10.1007/978-3-031-13177-6_34 · Cited by 2
Self-citationŁadyżyński, P., Ciechanowska, A., Sabalińska, S., Foltyński, P., Wencel, A., Wojciechowski, C., Pluta, K. D., & Chwojnowski, A. (2024) · Journal of Applied Biomedicine · doi:10.1016/j.bbe.2024.08.004 · Cited by 2
Maajani, K., Nasli‐Esfahani, E., Fahimfar, N., Sheidaei, A., Mansournia, M. A., & Yazdani, K. (2025) · PLoS ONE · doi:10.1371/journal.pone.0319975 · Cited by 2
Metadata
- Authors
- Zhou, J. J., Schwenke, D. C., Bahn, G., & Reaven, P.
- Affiliations
- University of Arizona (US)
- Carl T. Hayden Veterans Affairs Medical Center (US)
- Edward Hines, Jr. VA Hospital (US)
- Corresponding author
- Zhou, Jin J.
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2018-08-06
- Volume
- 41
- Issue
- 10
- Pages
- 2187-2194
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- PMC
- PMC6150432
- OpenAlex
- W2887193038
- Cited by
- 131
- References
- 37
- Citations by year
- 2026: 4 · 2025: 14 · 2024: 9 · 2023: 24 · 2022: 16 · 2021: 23 · 2020: 24 · 2019: 17
- FWCI
- 12.73
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Diabetes Care (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (R01-067690, 5R01-094775, K01-DK-106116)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- glycemic variability, cardiovascular disease, type 2 diabetes, fasting blood glucose, HbA1c, tight glycemic control, coefficient of variation, average real variability, hypoglycemia
- MeSH terms
- Aged, Blood Glucose, Cardiovascular Diseases, Diabetes Mellitus, Type 2, Fasting, Female, Glycated Hemoglobin, Humans, Male, Middle Aged, Risk Factors, Veterans
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