Cited by 363Diabetes Management and ResearchDiabetes Treatment and ManagementDiabetes, Cardiovascular Risks, and Lipoproteins

The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.

Impact of Visit-to-Visit Glycemic Variability on the Risks of Macrovascular and Microvascular Events and All-Cause Mortality in Type 2 Diabetes: The ADVANCE Trial

Open access

Hirakawa, Yoichiro, Arima, Hisatomi, Zoungas, Sophia, Ninomiya, Toshiharu, Cooper, Mark, Hamet, Pavel, Mancia, Giuseppe, Poulter, Neil, Harrap, Stephen, Woodward, Mark, Chalmers, John·2014·Diabetes Care

DOI 10.2337/dc14-0199

Open this paper in CoChat — free account

Abstract

OBJECTIVE: There is no consensus on the importance of visit-to-visit glycemic variability in diabetes. Therefore, we assessed the effects of visit-to-visit variability (VVV) in HbA1c and fasting glucose on major outcomes in the ADVANCE (Action in Diabetes and Vascular Disease: Preterax and Diamicron MR Controlled Evaluation) trial. RESEARCH DESIGN AND METHODS: ADVANCE was a factorial randomized controlled trial of intensive glucose control and blood pressure lowering in patients with type 2 diabetes. VVV in the intensive glucose treatment group was defined using the SD of five measurements of HbA1c and glucose taken 3–24 months after randomization. Outcomes were combined macro- and microvascular events and all-cause mortality occurring post 24 months. Sensitivity analyses were performed using other indices of variability and in the standard glucose treatment group. RESULTS: Among 4,399 patients in the intensive group, an increase in VVV of HbA1c was associated with an increased risk of vascular events (P = 0.01) and with mortality (P < 0.001): highest versus lowest tenth hazard ratio (95% CI) 1.64 (1.05–2.55) and 3.31 (1.57–6.98), respectively, after multivariable adjustment. A clear association was also observed between VVV of fasting glucose and increased risk of vascular events (P < 0.001; 2.70 [1.65–4.42]). HbA1c variability was positively associated with the risk of macrovascular events (P = 0.02 for trend), whereas glucose variability was associated with both macro- and microvascular events (P = 0.005 and P < 0.001 for trend, respectively). Sensitivity analyses using other indices, and patients in the standard glucose treatment group, were broadly consistent with these results. CONCLUSIONS: Consistency of glycemic control is important to reduce the risks of vascular events and death in type 2 diabetes.

Integrity signals

Registry

Crossref · 10.2337/dc14-0199

Cites

36 of 36 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Intensive blood glucose control and vascular outcomes in patients with type 2 diabetes
(2008) · New England Journal of Medicine · doi:10.1056/nejmoa0802987 · Cited by 7,397
IDF Diabetes Atlas: Global estimates for the prevalence of diabetes for 2015 and 2040
Ogurtsova, K., Fernandes, J. D. D. R., Huang, Y., Linnenkamp, U., Guariguata, L., Cho, N. H., Cavan, D. A., Shaw, J. E., & Makaroff, L. (2017) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2017.03.024 · Cited by 7,138
Analysis of Incomplete Multivariate Data
Schafer, J. L. (1997) · doi:10.1201/9781439821862 · Cited by 6,012
Analysis of Incomplete Multivariate Data
Booth, D. E., & Schafer, J. L. (2000) · Technometrics · doi:10.2307/1271466 · Cited by 5,627
Standards of medical care in diabetes—2013
American Diabetes Association (2013) · Diabetes Care · doi:10.2337/dc13-s011 · Cited by 4,369
Normalizing mitochondrial superoxide production blocks three pathways of hyperglycaemic damage
Nishikawa, T., Edelstein, D., Du, X. L., Yamagishi, S.-I., Matsumura, T., Kaneda, Y., Yorek, M. A., Beebe, D., Oates, P. J., Hammes, H.-P., et al. (2000) · Nature · doi:10.1038/35008121 · Cited by 4,277
IDF Diabetes Atlas: Global estimates of the prevalence of diabetes for 2011 and 2030
Whiting, D. R., Guariguata, L., Weil, C., & Shaw, J. E. (2011) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2011.10.029 · Cited by 4,018
National, regional, and global trends in fasting plasma glucose and diabetes prevalence since 1980: systematic analysis of health examination surveys and epidemiological studies with 370 country-years and 2·7 million participants
Danaei, G., Finucane, M. M., Lu, Y., Singh, G. M., Cowan, M. J., Paciorek, C. J., Lin, J. K., Farzadfar, F., Khang, Y.-H., Stevens, G. A., et al. (2011) · The Lancet · doi:10.1016/s0140-6736(11)60679-x · Cited by 3,568
Activation of oxidative stress by acute glucose fluctuations compared with sustained chronic hyperglycemia in patients with type 2 diabetes
Monnier, L., Mas, E., Ginet, C., Michel, F., Villon, L., Cristol, J.-P., & Colette, C. (2006) · JAMA · doi:10.1001/jama.295.14.1681 · Cited by 2,444
U.K. Prospective Diabetes Study 16: Overview of 6 Years' Therapy of Type II Diabetes: A Progressive Disease
U.K. Prospective Diabetes Study Group (1995) · Diabetes · doi:10.2337/diab.44.11.1249 · Cited by 1,923

Show all 36 references

Sorted by citations

Items 201–300 of 361

Insulin Degludec Versus Insulin Glargine on Glycemic Variability in Diabetic Patients: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
Yang, Y., Long, C., Li, T., & Chen, Q. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.890090 · Cited by 11
Hypoglycemic agents and glycemic variability in individuals with type 2 diabetes: A systematic review and network meta-analysis
Oh, S., Purja, S., Shin, H., Kim, M., & Kim, E. Y. (2022) · Diabetes and Vascular Disease Research · doi:10.1177/14791641221106866 · Cited by 14
Associations of visit-to-visit fasting glucose with risk of mortality: A retrospective cohort study of 48,077 people with type 2 diabetes
Xu, H., Zhang, Y., Xu, W., Chen, L., Zhang, M., Su, H., Cheng, Y., Zhao, N., Xu, D., & Qin, G. (2020) · Diabetes & Metabolism · doi:10.1016/j.diabet.2020.05.003 · Cited by 11
Associations of Variability in Metabolic Parameters with Lung Cancer: A Nationwide Population-Based Study
Cho, I. Y., Han, K., Shin, D. W., Cho, M. H., Yoo, J. E., & Cho, J. H. (2021) · Cancers · doi:10.3390/cancers13081982 · Cited by 11
High glycaemic variability is associated with progression of COVID-19
Hoong, C. W. S., Yeo, X. E., Lin, Y., Ooi, S. T., & Yeoh, E. C. K. (2021) · Acta Diabetologica · doi:10.1007/s00592-021-01779-7 · Cited by 11
Age and sex-specific associations of visit-to-visit variability of glycated hemoglobin A1c with all-cause mortality in patients with diabetes
Yeh, S., Ooi, S.-W., Chang, Y., Li, C., & Chen, H.-F. (2022) · Medicine · doi:10.1097/md.0000000000029942 · Cited by 10
Long-term tracking of fasting blood glucose variability and peripheral artery disease in people without diabetes
Sun, X., Zeng, C. C., Zhang, S.-Z., Zhou, H.-M., Zhong, X.-B., Xiong, Z.-Y., Yang, D.-Y., Guo, Y., Zhuang, X., & Liao, X.-X. (2020) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2019-000896 · Cited by 10
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
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
An Operations Approach for Reducing Glycemic Variability: Evidence from a Primary Care Setting
Ahuja, V., Álvarez, C. A., & Staats, B. R. (2022) · Manufacturing & Service Operations Management · doi:10.1287/msom.2022.1089 · Cited by 10
Visit-to-Visit Variability in Fasting Blood Glucose Predicts the New-Onset Heart Failure: Results From Two Large Chinese Cohorts
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
The Association Between Glycemic Variability and Myocardial Infarction: A Review and Meta-Analysis of Prospective Studies and Randomized Trials
Alatawi, Z., & Mirghani, H. O. (2020) · Cureus · doi:10.7759/cureus.11556 · Cited by 10
Hormone replacement treatment in Turner syndrome.
Kanaka‐Gantenbein, C. (2006) · PubMed · Cited by 10
Glycemic variability and all-cause mortality in a large prospective southern European cohort of patients with differences in glycemic status
Salinero-Fort, M. Á., Andrés-Rebollo, F. J. S., Cárdenas‐Valladolid, J., Mostaza, J. M., Lahoz, C., Rodríguez‐Artalejo, F., Gómez‐Campelo, P., Vich-Pérez, P., Jiménez‐García, R., López‐de‐Andrés, A., et al. (2022) · PLoS ONE · doi:10.1371/journal.pone.0271632 · Cited by 9
Joint effect of blood pressure and glycemic variation on the risk of cardiovascular morbidity and mortality in persons with type 2 diabetes
Lin, C., Li, C., Juan, Y.-L., Liu, C.-S., Lin, C., Yang, S.-Y., & Li, T. (2022) · Metabolism · doi:10.1016/j.metabol.2022.155308 · Cited by 9
Effectiveness of Telemedicine in Diabetes Management: A Retrospective Study in an Urban Medically Underserved Population Area (UMUPA)
Ward, L. A., Shah, G. H., Jones, J. A., Kimsey, L. G., & Samawi, H. M. (2023) · Informatics · doi:10.3390/informatics10010016 · Cited by 9
A 3-year follow-up of the Silent Diabetes Study
Schnell, O., Doerr, R., Lodwig, V., Weissmann, J., & Lohmann, T. (2014) · Diabetologia · doi:10.1007/s00125-014-3378-6 · Cited by 9
Visit to Visit Hemoglobin A1c Variation and Long-term Risk of Major Adverse Limb Events in Patients With Type 2 Diabetes
Hsiao, 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
A comparative study of the relationship between time in range assessed by self-monitoring of blood glucose and continuous glucose monitoring with microalbuminuria outcome, HOMA-IR and HOMA-β test
Cao, W. J., Zou, J., Gao, M., Huang, J., Li, Y., Li, N., Qian, L., Zhang, Y., Ji, M., & Liu, Y. (2024) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2024.108831 · Cited by 8
Effects of long-term HbA1c variability on serious infection risks in patients with type 2 diabetes and the influence of age, sex and ethnicity: A cohort study of primary care data
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
Relationship between glycemic intraday variations evaluated in continuous glucose monitoring and HbA1c variability in type 2 diabetes: pilot study
Tokutsu, A., Okada, Y., Torimoto, K., & Tanaka, Y. (2021) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-021-00663-2 · Cited by 8
Association Between Long-Term Visit-to-Visit Hemoglobin A1c and Cardiovascular Risk in Type 2 Diabetes: The ACCORD Trial
Huang, D., Huang, Y., Zhang, Q.-Y., Cui, Y., Mu, T., & Huang, Y. C. (2021) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2021.777233 · Cited by 8
Fasting Glucose Variability as a Risk Indicator for End-Stage Kidney Disease in Patients with Diabetes: A Nationwide Population-Based Study
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
Association of visit-to-visit HbA1c variability with cardiovascular diseases in type 2 diabetes within or outside the target range of HbA1c
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
Improvement of β-cell function ameliorated glycemic variability in patients with newly diagnosed type 2 diabetes after short-term continuous subcutaneous insulin infusion or in combination with sitagliptin treatment: a randomized control trial
Yuan, G., Hu, H., Wang, S., Yang, Q., Yu, S., Sun, W., Qian, W., Mao, C., Zhou, L., Chen, D., et al. (2015) · Endocrine Journal · doi:10.1507/endocrj.ej15-0160 · Cited by 8
The association of serum glycated albumin with the prevalence of diabetic retinopathy in Korean patients with type 2 diabetes mellitus
Jeon, W. S., Park, S. E., Rhee, E., Lee, W., Oh, K.-W., Park, S., & Park, C. (2016) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2016.04.018 · Cited by 8
Glycaemic variability is associated with adverse cardiovascular outcomes in patients hospitalised with an acute myocardial infarction
Chai, T. Y., McLean, M. P., Wong, V., & Cheung, N. W. (2019) · Journal of Clinical & Translational Endocrinology · doi:10.1016/j.jcte.2019.100203 · Cited by 8
Resolution on the results of the first working meeting of the scientific advisory board «Actual problems of glycemic variability as a new criterion of glycemic control and safety of diabetes therapy»
Antsiferov, M. B., Galstyan, G. R., Zilov, A. V., Mayorov, A. Y., Markova, T. N., Demidov, N. A. D., Koteshkova, O. M. K., Лаптев, Д. Н., & Vitebskaya, A. V. (2019) · Diabetes Mellitus · doi:10.14341/dm10227 · Cited by 8
Joint Modeling of Individual Trajectories, Within-Individual Variability, and a Later Outcome: Systolic Blood Pressure Through Childhood and Left Ventricular Mass in Early Adulthood
Parker, R. M., Leckie, G., Goldstein, H., Howe, L. D., Heron, J., Hughes, A. D., Phillippo, D., & Tilling, K. M. (2020) · American Journal of Epidemiology · doi:10.1093/aje/kwaa224 · Cited by 8
Impact of visit‐to‐visit fasting plasma glucose variability on the development of diabetes: The mediation by insulin resistance
Ji-ji, X., Li, L., Huang, S., Song, H., Gao, J., Ni, H., Lin, H., Wang, S., Li, M., Wang, T., et al. (2022) · Journal of Diabetes · doi:10.1111/1753-0407.13253 · Cited by 8
Hyperglycemia and Glycemic Variability Associated with Glucocorticoids in Women without Pre-Existing Diabetes Undergoing Neoadjuvant or Adjuvant Taxane Chemotherapy for Early-Stage Breast Cancer
Mahin, D., Lavasani, S. M., Cristobal, L., Patel, N. T., Sedrak, M. S., Stewart, D. B., Waisman, J. R., Yuan, Y., Yu, W., Samoa, R. A., et al. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12051906 · Cited by 7
Effect of Intensive Lifestyle Intervention on Cardiovascular Risk Factors: Analysis From the Perspective of Long‐Term Variability
He, L., Liu, M., Zhuang, X., Guo, Y., Wang, P., Zhou, Z., Chen, Z., Peng, L., & Liao, X. (2024) · Journal of the American Heart Association · doi:10.1161/jaha.123.030132 · Cited by 7
HbA1c variability and all-cause mortality in type 1 and type 2 diabetes: A population-based cohort study using electronic health records
Bowen, L., Carey, I. M., Chaudhry, U. A. R., DeWilde, S., Audi, S., Limb, E. S., Cook, D. G., Panahloo, A., Whincup, P. H., Sattar, N. A., et al. (2025) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2025.112229 · Cited by 7
Effect of empagliflozin on the left ventricular diastolic function in patients with type 2 diabetes mellitus and concomitant heart failure with preserved ejection fraction
Herashchenko, A. S., Fedorov, S. V., Bielinskyi, M. V., Seredyuk, N. M., & Henyk, B. L. (2023) · INTERNATIONAL JOURNAL OF ENDOCRINOLOGY (Ukraine) · doi:10.22141/2224-0721.19.5.2023.1300 · Cited by 7
Clinical implications and pharmacological considerations of glycemic variability in patients with type 2 diabetes mellitus
Howsawi, A., & Alem, M. M. (2024) · Scientific Reports · doi:10.1038/s41598-024-74535-w · Cited by 7
Association of Mean and Variability of HbA1c with Heart Failure in Patients with Type 2 Diabetes
Lin, Y.-T., Huang, W., Wu, H., Chang, M., & Chen, C. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10071401 · Cited by 7
Influence of acute glycaemic level on measures of myocardial infarction in non-diabetic pigs.
Diemar, S. S., Sejling, A., Iversen, K. K., Engstrøm, T., Hønge, J. L., Tønder, N., Vejlstrup, N. G., Idorn, M., Ekström, K., Pedersen‐Bjergaard, U., et al. (2015) · PubMed · doi:10.3109/14017431.2015.1085079 · Cited by 7
Effects of empagliflozin on exercise tolerance and left ventricular diastolic function in patients with heart failure with preserved ejection fraction and type 2 diabetes: a prospective single-center study
Ovchinnikov, A. G., Borisov, A. A., Zherebchikova, K., Рябцева, О. Ю., Гвоздева, А. Д., Masenko, V. P., Ageev, F. T., & Boytsov, S. A. (2021) · Russian Journal of Cardiology · doi:10.15829/1560-4071-2021-4304 · Cited by 7
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
Variability and misclassification of albuminuria in patients with type 2 diabetes mellitus
Buchwinkler, L., Keller, F., Thöni, S., Eder, S., & Mayer, G. J. (2025) · Scientific Reports · doi:10.1038/s41598-025-03382-0 · Cited by 6
Cardiovascular outcomes of patients with type 2 diabetes after myocardial infarction and the impact of diabetes duration: a nationwide registry study
Kerola, A. M., Juonala, M., & Kytö, V. (2025) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2025.112411 · Cited by 6
Needle-free injection of basal insulin improves fasting glucose variability as assessed by continuous glucose monitoring in T2DM: a prospective randomized multicenter open-label crossover study
Sun, F., Gao, B., Yang, A., Ren, L., Xing, Y., Ma, K., Li, T. X., Li, S., Heng, C., Liu, H., et al. (2022) · Expert Opinion on Drug Delivery · doi:10.1080/17425247.2022.2147504 · Cited by 6
“Hyperglycemic Memory”: Observational Evidence to Experimental Inference
Ahmadi, M., Ghafouri‐Fard, S., Najari-Hanjani, P., Morshedzadeh, F., Malakoutian, T., Abbasi, M., Akbari, H., Amoli, M. M., & Saffarzadeh, N. (2024) · Current Diabetes Reviews · doi:10.2174/0115733998279869231227091944 · Cited by 6
Predict and prevent microvascular complications of type 2 diabetes: a cross-sectional and longitudinal study in Chinese communities
Liu, Z., Zhou, L., Zhao, W., Jin, L., Zhang, J., Zhang, Y., Li, Y., Deng, G., Ji-quan, H., Zhao, X., et al. (2025) · Frontiers in Endocrinology · doi:10.3389/fendo.2025.1541663 · Cited by 7
Glycemic variability leads to higher levels of auto-oxidized oxysterol species in patients with type 1 diabetes mellitus
Ünlütürk, U., Bahçecioğlu, A. B., Samadi, A., Lay, İ., Bayraktar, M., & Dağdelen, S. (2023) · Journal of Endocrinological Investigation · doi:10.1007/s40618-023-02110-7 · Cited by 6
Comparison of morning basal + 1 bolus insulin therapy (insulin glulisine + insulin glargine 300 U/ mL vs insulin lispro + insulin glargine biosimilar) using continuous glucose monitoring: A randomized crossover study
Takeishi, S., Tsuboi, H., & Takekoshi, S. (2017) · Journal of Diabetes Investigation · doi:10.1111/jdi.12661 · Cited by 6
Non-recovery acute kidney injury and additional risk factors for short-term and long-term hypoglycemia: A multi-institutional cohort study
Chen, J., Chan, M., Fan, P., Tsai, T.-Y., Yen, C., Hsiao, C.-C., Lee, C., Lin, C., Chen, Y., Yang, C.-W., et al. (2024) · Journal of the Formosan Medical Association · doi:10.1016/j.jfma.2024.12.007 · Cited by 5
Acute effects of a single bout structured resistance and combined exercise on blood glucose profile during exercise in patients with type 2 diabetes and healthy adults: A randomized crossover study
Huang, Y.-M., Liu, Z., Fu, J., Shan, P., Wang, J. Z., & Xu, W. (2025) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2025.112031 · Cited by 5
Comparison of gliclazide vs linagliptin on hypoglycemia and cardiovascular events in type 2 diabetes mellitus: A systematic review
Mohan, V., WANGNOO, S. K., Das, S., Dhediya, R., & Gaurav, K. (2022) · World Journal of Diabetes · doi:10.4239/wjd.v13.i12.1168 · Cited by 5
Efficacy and safety of intensive versus conventional glucose targets in people with type 2 diabetes: a systematic review and meta-analysis
Aldafas, R., Crabtree, T. S. J., Vinogradova, Y., Gordon, J. P., & IDRIS, I. R. (2023) · Expert Review of Endocrinology & Metabolism · doi:10.1080/17446651.2023.2166489 · Cited by 5
Potential Benefits of Continuous Glucose Monitoring for Predicting Vascular Outcomes in Type 2 Diabetes: A Rapid Review of Primary Research
Jadav, R. K., Yee, K. C., Turner, M. R., & Mortazavi, R. (2024) · Healthcare · doi:10.3390/healthcare12151542 · Cited by 5
Importancia pronóstica de la variabilidad glucémica sobre la mortalidad intrahospitalaria en pacientes ingresados en Medicina Interna
Sáenz-Abad, D., Gimeno-Orna, J. A., & Pérez‐Calvo, J. I. (2015) · Revista Clínica Española · doi:10.1016/j.rce.2015.06.003 · Cited by 5
Masticatory dysfunction in patients with diabetic neuropathy: A cross-sectional study
Hamamoto, Y., Ouhara, K., Miyagawa, T., Shintani, T., Komatsu, N., Kajiya, M., Matsuda, S., Fujita, T., Sasaki, S., Iwata, T., et al. (2022) · PLoS ONE · doi:10.1371/journal.pone.0269594 · Cited by 5
Glycemic Key Metrics and the Risk of Diabetes-Associated Complications
Kohnert, K., Heinke, P., Zander, E., Vogt, L., & Salzsieder, E. (2016) · Romanian Journal of Diabetes Nutrition and Metabolic Diseases · doi:10.1515/rjdnmd-2016-0047 · Cited by 5
Use of a Low-carbohydrate Enteral Nutrition Formula with Effective Inhibition of Hypoglycemia and Post-infusion Hyperglycemia in Non-diabetic Patients Fed via a Jejunostomy Tube
Nishiwaki, S., Fujimoto, H., Kurobe, T., Baba, A., Iwashita, M., Hatakeyama, H., Hayashi, T., & Maeda, T. (2020) · Internal Medicine · doi:10.2169/internalmedicine.4465-20 · Cited by 5
Associations of metabolic variabilities and cardiovascular outcomes according to estimated glomerular filtration rate in chronic kidney disease: a nationwide observational cohort study
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
What is the best predictor of mortality in patients with type 2 diabetes and chronic kidney disease: mean, variability of HbA1c or HbA1c-Hemoglobin ratio?
Ooi, S.-W., Lee, M.-T., Chang, Y.-Y., Chang, C.-H., & Chen, H.-F. (2024) · BMC Nephrology · doi:10.1186/s12882-024-03686-9 · Cited by 4
Acute kidney disease and postoperative glycemia variability in patients undergoing cardiac surgery: A multicenter cohort analysis of 8,090 patients
Chen, L., Sun, J., Kong, S., Tan, Q., Liu, X., Cheng, Y., Yang, F., Yin, X., Zhang, C., Liu, J., et al. (2024) · Journal of Clinical Anesthesia · doi:10.1016/j.jclinane.2024.111706 · Cited by 4
Association between long-term serum uric acid variability and diabetic retinopathy: A prospective study in patients with Type 1 and Type 2 diabetes
Zhu, Q., Wang, H., Qu, Y., Jiang, Y., Liu, X., Liu, X., Xiao, Y., Lv, K., Xing, X., Niu, T., et al. (2025) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2025.112306 · Cited by 4
Separate and combined effect of visit‐to‐visit glycaemic variability and mean fasting blood glucose level on all‐cause mortality in patients with type 2 diabetes: A population‐based cohort study
Liu, Y., Xu, H., Li, J., Yang, Y., Zhang, J., Liu, X., Li, J., Yu, Y., & Qin, G. (2022) · Diabetes Obesity and Metabolism · doi:10.1111/dom.14826 · Cited by 4
Effect of delay in treatment intensification in people with type 2 diabetes and suboptimal glycaemia after basal insulin initiation: A real‐world observational study
Shabnam, S., Abner, S. C., Gillies, C. L., Davies, M. J., DEX, T. A., Khunti, K. K., Webb, D. R., Zaccardi, F., & Seidu, S. (2023) · Diabetes Obesity and Metabolism · doi:10.1111/dom.15337 · Cited by 4
Glycemic Risk Index in a Cohort of Patients with Type 1 Diabetes Mellitus Stratified by the Coefficient of Variation: A Real-Life Study
Herranz-Antolín, S., Cotón-Batres, C., López-Virgos, M. C., Esteban-Monge, V., de Frutos, V. Á., Pekarek, L., & Torralba, M. (2024) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2024.0181 · Cited by 4
Relationship Between Glycosylated Hemoglobin Variability and the Severity of Coronary Artery Disease in Patients With Type 2 Diabetes Mellitus
Liu, X., Yang, X., & Wu, N. (2024) · Journal of Diabetes Research · doi:10.1155/2024/9958586 · Cited by 5
Glycaemic control and glycaemic variability in older people with diabetes
Florez, H. J. (2018) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(18)30069-x · Cited by 4
Long-term glycemic variability predicts compromised development of heart failure with improved ejection fraction: a cohort study
Yang, 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
Assessing the temporal within-day glycemic variability during hospitalization in patients with type 2 diabetes patients using continuous glucose monitoring: a retrospective observational study
Xing, Y., Wu, M., Liu, H., Li, P., Pang, G., Zhao, H., & Wen, T. (2024) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-024-01269-0 · Cited by 4
Effects of Insulin Degludec and Insulin Glargine U300 on Day-to-Day Fasting Plasma Glucose Variability in Individuals with Type 1 Diabetes: A Multicenter, Randomized, Crossover Study (Kobe Best Basal Insulin Study 2)
Miura, H., Sakaguchi, K., Okada, Y., Otowa‐Suematsu, N., Yamada, T., So, A., Komada, H., Hirota, Y., Kishi, M., Takeda, A., et al. (2018) · Diabetes Therapy · doi:10.1007/s13300-018-0523-0 · Cited by 4
Hemoglobin A1c Variability Metrics Predict Coronary Artery Calcium and Cardiovascular Events in Type 1 Diabetes: The CACTI Study
Horton, W. B., & Snell‐Bergeon, J. K. (2023) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgad019 · Cited by 4
Prognostic significance of stress hyperglycemia ratio in acute coronary syndrome patients with prior coronary artery bypass grafting
Ma, X., Chu, H., Li, Q., Yc, Y., Zhou, Y., & Wang, Z. (2026) · Frontiers in Endocrinology · doi:10.3389/fendo.2025.1741291 · Cited by 3
Integrating GLP-1 Receptor Agonists into Modern Stroke Prevention: Evidence, Mechanisms, and Clinical Consideration—A Narrative Review
Khan, S., Herbst, W., Tajrishi, F. Z., Notani, S., Knight, A., Jamil, Z., & Ferdinand, K. C. (2026) · Biomedicines · doi:10.3390/biomedicines14040743 · Cited by 3
Correlation between glycaemic variability and prognosis in diabetic patients with CKD
Gao, M., Zhong, Z., Yue, Y., & Liu, F. (2022) · Endokrynologia Polska · doi:10.5603/ep.a2022.0092 · Cited by 3
Short-term renal and metabolic effects of low dose vildagliptin treatment added-on insulin therapy in non-proteinuric patients with type 2 diabetes: open-label randomized prospective study
Bayrasheva, V. K., Pchelin, I. Y., Dobronravov, V., Babenko, A. Y., Григорьевна, Ч. С., Shatalov, I. S., Vasilkova, V., Hudiakova, N. V., Ivanova, A. N., Andoskin, P. A., et al. (2020) · Archives of Endocrinology and Metabolism · doi:10.20945/2359-3997000000220 · Cited by 3
A study of factors influencing long-term glycemic variability in patients with type 2 diabetes: a structural equation modeling approach
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
Glycemic variability and systemic immune-inflammation index: a synergistic predictive model for atrial fibrillation in type 2 diabetes
Zeng, J., Chen, C.-H., Tao, Y., Cheng, H., Chen, D., Shen, Z., & Li, H. (2025) · QJM · doi:10.1093/qjmed/hcaf286 · Cited by 3
Increased Two-Hour Post-Load Plasma Glucose Fluctuation Corresponds with Worse Clinical Prognoses among Acute Ischemic Stroke Patients without a History of Diabetes Mellitus
Wang, R., Fu, J., Wang, A., Zhang, X., Wei, K., Fu, X., Wang, Y., Hong, X., Zhou, Y., Liu, Y., et al. (2023) · Cerebrovascular Diseases · doi:10.1159/000528935 · Cited by 3
Glycated Hemoglobin Variability Is Associated With Adverse Outcomes in Patients With Heart Failure Irrespective of Diabetic Status
Xu, X. Y., Ren, Q. W., Chandramouli, C., Ng, M., Tsang, C. T., Tse, Y., Li, X., Liu, M., Wu, M., Huang, J., et al. (2024) · Journal of the American Heart Association · doi:10.1161/jaha.123.034109 · Cited by 3
Role of IGF-1 Signaling in the Pathology of Diabetic Retinopathy
(2015) · Therapeutic Targets for Neurological Diseases · doi:10.14800/ttnd.639 · Cited by 3
Observational analyses from ADVANCE and ADVANCE‐ON
Chalmers, J. P., & Woodward, M. (2019) · Diabetes Obesity and Metabolism · doi:10.1111/dom.13894 · Cited by 3
Self-citation
Glycemic Variability as a Predictor of Graft Failure Following Infrainguinal Bypass for Peripheral Arterial Disease: A Retrospective Cohort Study
Farndon, D., Bennett, P. C., Nunney, I., & Dhatariya, K. (2024) · Annals of Vascular Surgery · doi:10.1016/j.avsg.2024.02.004 · Cited by 2
Glucose metabolic dysregulation of diabetes and Its role in atrial fibrillation pathogenesis
Chen, Y., Xu, M., Wei, K., & Ma, N. (2026) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2025.1711069 · Cited by 2
Warum ist eine Kombination von Basalinsulin mit einem GLP-1-Rezeptoragonisten bei vielen Patienten mit Typ-2-Diabetes sinnvoll?
Nauck, M. A., & Wilhelm, B. (2017) · MMW - Fortschritte der Medizin · doi:10.1007/s15006-017-9803-2 · Cited by 2
Type 2 diabetes mellitus: A cross-sectional analysis of glycemic controls and brain health outcomes
Huang, C., Chen, H., & Su, B.-Y. (2025) · Applied Neuropsychology Adult · doi:10.1080/23279095.2025.2450084 · Cited by 2
Long-term glycemic variability and the risk of cardiovascular diseases in type 2 diabetic patients: Effect of hypothetical interventions using parametric g-formula in a population-based historical cohort study
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
HbA1c Variability and Cardiovascular Events
Mehring, M., Donnachie, E., & Schneider, A. (2016) · Current Cardiovascular Risk Reports · doi:10.1007/s12170-016-0501-x · Cited by 2
Показники контролю рівня глікемії: сучасний стан питання
Kondratyshyn, A. R., Fik, M. S., Наумова, У. О., & Naumova, L. V. (2022) · Endokrynologia · doi:10.31793/1680-1466.2022.27-2.147 · Cited by 2
THE CARDIOPROTECTIVE EFFECTS OF EMPAGLIFLOZIN IN PATIENTS WITH HEART FAILURE WITH PRESERVED EJECTION FRACTION AND TYPE 2 DIABETES MELLITUS
Herashchenko, A. S., & Fedorov, S. V. (2023) · Прикарпатський вісник наукового товариства імені Шевченка ПУЛЬС · doi:10.21802/2304-7437-2023-19(67)-55-62 · Cited by 2
Continuous Glucose Monitoring Profiles and Health Outcomes After Dapagliflozin Plus Saxagliptin vs Insulin Glargine
Simonson, D. C., Testa, M. A., Ekholm, E., Su, M., Vilsbøll, T., Jabbour, S. A., & Lind, M. (2024) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgae105 · Cited by 2
Associations of Glucose and Blood Pressure Variability with Cardiac Diastolic Function in Patients with Type 2 Diabetes Mellitus and Hypertension: A Retrospective Observational Study
Satoshi, G. O. T. O., Ohara, M., Osaka, N., Fujikawa, T., Kohata, Y., Nagaike, H., Fukase, A., Kushima, H., Hiromura, M., Yamamoto, T., et al. (2019) · The Showa University Journal of Medical Sciences · doi:10.15369/sujms.31.139 · Cited by 2
PowerAI-Diabetes: Review of glycemic and lipid variability to predict cardiovascular events in Chinese diabetic population
Lee, S., Liu, T., Chung, C. T., Reinhold, J., Vassiliou, V. S., & Tse, G. (2024) · npj Metabolic Health and Disease · doi:10.1038/s44324-024-00012-7 · Cited by 3
Prognostic importance of glycemic variability on hospital mortality in patients hospitalized in Internal Medicine Departments
Sáenz-Abad, D., Gimeno-Orna, J. A., & Pérez‐Calvo, J. I. (2015) · Revista Clínica Española (English Edition) · doi:10.1016/j.rceng.2015.09.001 · Cited by 2
The relationship between fasting blood glucose variability and coronary artery collateral formation in type 2 diabetes patients with coronary artery disease
Cheng, G., Mahmoudi, H., Chokshi, B. M., Fernandez, M. C., Kazemi, V., & Lamaa, N. (2017) · Coronary Artery Disease · doi:10.1097/mca.0000000000000520 · Cited by 2
Review of the results of the EASYDia international observational study. The effect of dose titration of diabeton MR on the effectiveness of treatment of type 2 diabetes
Trubitsyna, N. P., & Shestakova, M. V. (2019) · Diabetes Mellitus · doi:10.14341/dm10185 · Cited by 2
Association of HbA1c variability with atherosclerosis in diabetes: simple marker, risk factor or statistical bias?
Monnier, L., & Colette, C. (2015) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2015.05.002 · Cited by 2
How Continuity in Service Impacts Process Variability: Evidence from a Primary Care SettingPreprint
Ahuja, V., Álvarez, C. A., & Staats, B. R. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3440355 · Cited by 2
Les variabilités « métaboliques » : fluctuations aiguës et ondulations lentes, causes et conséquences
Monnier, L., & Colette, C. (2022) · Médecine des Maladies Métaboliques · doi:10.1016/j.mmm.2021.12.006 · Cited by 2
Glucose and HbA1c variability and time in range (TIR)
Prattichizzo, F., & Ceriello, A. (2022) · Die Diabetologie · doi:10.1007/s11428-022-00969-3 · Cited by 1
Risk prediction of diabetic retinopathy based on visit-to-visit fasting blood glucose indices
Ju, Y., Guo, Z., Ai, J., Yang, K. C., Zhu, X., Shi, K., Li, C., Yu, T., Xiao, Y., Su, B., et al. (2024) · Frontiers in Endocrinology · doi:10.3389/fendo.2024.1420948 · Cited by 1
Hybrid closed loop devices: The utility of continuous glucose monitoring metrics for retinal surveillance during transition from standard insulin pump
Varughese, M. S., Nayak, A., Payne, L., & Varadhan, L. (2025) · Eye · doi:10.1038/s41433-025-03834-x · Cited by 1
Development and validation of a nomogram prediction model for coronary heart disease in diabetic patients: a study based on the 2011–2020 NHANES database
Wang, M., Zhang, W., Li, J., Luan, Y., Ding, X., & Hu, Y. (2025) · BMC Cardiovascular Disorders · doi:10.1186/s12872-025-04972-6 · Cited by 1
Uric Acid Variability Is Associated with Poor Prognosis in Heart Failure
Copeland, V., Elimeleh, S., Milwidsky, A., Makmal, N., Loutati, R., Fishman, B., Wasserstrum, Y., Zwilling, M., Maor, E., & Grossman, E. (2026) · Journal of Clinical Medicine · doi:10.3390/jcm15062330 · Cited by 1
Primärprävention der koronaren Herzkrankheit
Mühleck, F., & Laufs, U. (2019) · Herz · doi:10.1007/s00059-019-04873-3 · Cited by 1

Authors: Hirakawa, Y., Arima, H., Zoungas, S., Ninomiya, T., Cooper, M., Hamet, P., Mancia, G., Poulter, N., Harrap, S., Woodward, M., & Chalmers, J.
Affiliations: The University of Sydney (AU)
Baker Heart and Diabetes Institute (AU)
Centre Hospitalier de l’Université de Montréal (CA)
IRCCS Istituto Auxologico Italiano (IT)
St Mary's Hospital (GB)
The Royal Melbourne Hospital (AU)
Corresponding author: Chalmers, John
ORCID: Hirakawa, Yoichiro
Arima, Hisatomi
Zoungas, Sophia
Ninomiya, Toshiharu
Cooper, Mark
Hamet, Pavel
Mancia, Giuseppe
Poulter, Neil
Harrap, Stephen
Woodward, Mark
Chalmers, John
Venue: Diabetes Care
Publisher: American Diabetes Association
Published: 2014-07-12
Volume: 37
Issue: 8
Pages: 2359-2365
ISSN: 0149-5992 (ISSN-L)
1935-5548
DOI: 10.2337/dc14-0199
OpenAlex: W2122273643
Cited by: 363
References: 36
Citations by year: 2026: 9 · 2025: 20 · 2024: 32 · 2023: 33 · 2022: 44 · 2021: 47 · 2020: 51 · 2019: 35 · 2018: 25 · 2017: 25 · 2016: 18 · 2015: 18 · 2014: 5
FWCI: 17.69
Type: journal article
Language: en
Open access: green
www.openaccessrepository.it
Licence: other-oa
Locations: Diabetes Care (publishedVersion)
PubMed (publishedVersion)
BOA (University of Milano-Bicocca) (submittedVersion)
INFM-OAR (INFN Catania) (submittedVersion, other-oa)
Topics: Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
Keywords: type 2 diabetes, HbA1c variability, macrovascular events, all-cause mortality, tight glycemic control, blood pressure reduction, ADVANCE trial
MeSH terms: Aged, Aged, 80 and over, Blood Glucose, Cause of Death, Diabetes Mellitus, Type 2, Diabetic Angiopathies, Drug Combinations, Female, Follow-Up Studies, Gliclazide, Humans, Hypoglycemic Agents, Indapamide, Male, Middle Aged, Office Visits, Risk Factors, Perindopril

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Impact of Visit-to-Visit Glycemic Variability on the Risks of Macrovascular and Microvascular Events and All-Cause Mortality in Type 2 Diabetes: The ADVANCE Trial

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks