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International Consensus on Use of Continuous Glucose Monitoring
Open accessAbstract
Measurement of glycated hemoglobin (HbA1c) has been the traditional method for assessing glycemic control. However, it does not reflect intra- and interday glycemic excursions that may lead to acute events (such as hypoglycemia) or postprandial hyperglycemia, which have been linked to both microvascular and macrovascular complications. Continuous glucose monitoring (CGM), either from real-time use (rtCGM) or intermittently viewed (iCGM), addresses many of the limitations inherent in HbA1c testing and self-monitoring of blood glucose. Although both provide the means to move beyond the HbA1c measurement as the sole marker of glycemic control, standardized metrics for analyzing CGM data are lacking. Moreover, clear criteria for matching people with diabetes to the most appropriate glucose monitoring methodologies, as well as standardized advice about how best to use the new information they provide, have yet to be established. In February 2017, the Advanced Technologies & Treatments for Diabetes (ATTD) Congress convened an international panel of physicians, researchers, and individuals with diabetes who are expert in CGM technologies to address these issues. This article summarizes the ATTD consensus recommendations and represents the current understanding of how CGM results can affect outcomes.
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“In many countries, the benefits and utility of CGM are now recognized by national and international medical organizations for individuals with insulin-requiring diabetes and/or those at risk for hypoglycemia (16-21).”
From Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range (2019) · cites this paper as [18]
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“Correlations of fructosamine with HbA1c and mean blood glucose were examined in 4 observational studies.”
From KDIGO 2022 Clinical Practice Guideline for Diabetes Management in Chronic Kidney Disease (2022) · cites this paper as [198]
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“The list of core CGM metrics has now been streamlined for use in clinical practice based on the expert opinion of this International Consensus Group (18).”
From Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range (2019) · cites this paper as [18]
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“This recommendation was later endorsed at the aforementioned international consensus conference on CGM metrics (18) and is referenced as an example in the American Diabetes Association (ADA) 2019 Standards of Care (16) and in an update to the American Association of Clinical Endocrinologists (AACE) consensus on use of CGM (69).”
From Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range (2019) · cites this paper as [18]
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“CGM helps characterize the timing, amplitude, and frequency of excursions [133–139], and provides quantitative metrics such as TIR, time in hypoglycemia (TBR) and hyperglycemia (TAR), and indices of glycemic variability, which are increasingly used as clinically meaningful targets in diabetes management [140–144].”
From Diabetic gastroparesis: pathophysiology and impact on insulin timing choices (2026) · cites this paper as [133]
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“In this context, CGM plays a central role by enabling visualization of glycemic trends and revealing patterns that are missed with capillary glucose testing [132, 133].”
From Diabetic gastroparesis: pathophysiology and impact on insulin timing choices (2026) · cites this paper as [133]
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“Our findings support the recent consensus conference recommendation (12, 13) that sensor glucose values ,54 mg/dL represent a more meaningful cut-off than 70 mg/dL to define clinically important hypoglycemia because CGM glucose levels below 54 mg/dL were uncommon, whereas most participants had some glucose levels of 55 to 69 mg/dL.”
From Continuous Glucose Monitoring Profiles in Healthy Nondiabetic Participants: A Multicenter Prospective Study (2019) · cites this paper as [12]
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“The current consensus conferences have somewhat arbitrarily set time in ranges for CGM sensor glucose levels for patients with T1D, with time in target identified as being between 70 to 180 mg/dL (12,13).”
From Continuous Glucose Monitoring Profiles in Healthy Nondiabetic Participants: A Multicenter Prospective Study (2019) · cites this paper as [12]
In the citing paper
“Core glucose metrics determined by CGM, including TIR and GMI, provide more precise real-time and retrospective information about glycemic control.34”
From Glucose time in range and peripheral neuropathy in type 2 diabetes mellitus and chronic kidney disease (2020) · cites this paper as [34]
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Cites
(1993) · New England Journal of Medicine · doi:10.1056/nejm199309303291401 · Cited by 24,667
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
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
Standards of Medical Care in Diabetes—2009
American Diabetes Association (2009) · Diabetes Care · doi:10.2337/dc09-s013 · Cited by 2,167
Beck, R. W., Riddlesworth, T., Ruedy, K., Ahmann, A., Bergenstal, R., Haller, S., Kollman, C., Kruger, D., McGill, J. B., Polonsky, W., et al. (2017) · JAMA · doi:10.1001/jama.2016.19975 · Cited by 1,185
Self-citationBolinder, J., Antuna, R., Geelhoed-Duijvestijn, P., Kröger, J., & Weitgasser, R. (2016) · The Lancet · doi:10.1016/s0140-6736(16)31535-5 · Cited by 893 · cited 2×
“severe hypoglycemia (26-37) [C,C,B,B,C,C,A,C,B,C,B].”
Garber, A. J., Abrahamson, M. J., Barzilay, J. I., Blonde, L., Bloomgarden, Z. T., Bush, M. A., Dagogo-Jack, S. E., DeFronzo, R. A., EINHORN, D. F., Fonseca, V. A., et al. (2016) · Endocrine Practice · doi:10.4158/ep151126.cs · Cited by 879
Self-citationVariability of Blood Glucose Concentration and Short-term Mortality in Critically Ill Patients
Egi, M., Bellomo, R., Stachowski, E., French, C., & Hart, G. K. (2006) · Anesthesiology · doi:10.1097/00000542-200608000-00006 · Cited by 853
Gold, A. E., Macleod, K. M., & Frier, B. M. (1994) · Diabetes Care · doi:10.2337/diacare.17.7.697 · Cited by 810
The barrier of hypoglycemia in diabetes
Cryer, P. E. (2008) · Diabetes · doi:10.2337/db08-1084 · Cited by 725
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Items 901–1,000 of 1,003
Xu, S.-Y., Ke-Li, Zhang, Z., Liu, C., Guo, Q., Lu, B., Gu, P., & Shao, J. (2021) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2021.108684 · Cited by 11
Welser, L., Lima, R. A., Silveira, J. F. D. C., Andersen, L. B., Pfeiffer, K. A., Renner, J. D. P., & Reuter, C. P. (2021) · Journal of Pediatric Endocrinology and Metabolism · doi:10.1515/jpem-2021-0023 · Cited by 11
Mao, Y., Zhao, X., Zhou, L., Lü, B., Jin, C., Fu, D., Yao, L., & Li, J. (2021) · Gland Surgery · doi:10.21037/gs-21-495 · Cited by 11
Virtual visits and the use of continuous glucose monitoring for diabetes care in the era of COVID-19
UNDERWOOD, P. C., Hibben, J., Gibson, J. M., & DiNardo, M. M. (2021) · Journal of the American Association of Nurse Practitioners · doi:10.1097/jxx.0000000000000659 · Cited by 13
Chang, C. R., Roach, L. A., Russell, B. M., & Francois, M. E. (2025) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2025.112072 · Cited by 11
Mendez, C., Kaykayoglu, C. A., Bähler, T., Künzler, J., Lizoain, A., Rothenbühler, M., Schmidt, M. H., Laimer, M., & Witthauer, L. (2026) · Journal of Diabetes Science and Technology · doi:10.1177/19322968251319800 · Cited by 10
Faccioli, S., Prendin, F., Facchinetti, A., Sparacino, G., & Favero, S. D. (2022) · Journal of Diabetes Science and Technology · doi:10.1177/19322968221093665 · Cited by 11
Use of Continuous Glucose Monitoring in Patients Following Bariatric Surgery: A Scoping Review
Yu, Y. H., & Groth, S. W. (2023) · Obesity Surgery · doi:10.1007/s11695-023-06704-1 · Cited by 10
Sheng, X., Li, T., Hu, Y., Xiong, C.-S., & Hu, L. (2023) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s418224 · Cited by 10
Liu, X., Mou, P., Cao, J., Wang, H., Zeng, W., & Zhou, Z. (2024) · The Journal of Arthroplasty · doi:10.1016/j.arth.2024.04.030 · Cited by 10
Díaz-Soto, G., Pérez-López, P., Fernández-Velasco, P., Bahillo-Curieses, P., de la Marca, M. D. L. O. N., Jimenez, R., & de Luis, D. A. (2024) · Endocrine · doi:10.1007/s12020-024-03846-9 · Cited by 10
Lind, N., Christensen, M. B., & Nørgaard, K. (2024) · PEC Innovation · doi:10.1016/j.pecinn.2024.100324 · Cited by 10
Self-citationMandla, R., Schroeder, P. H., Florez, J. C., Mercader, J. M., & Leong, A. (2024) · Diabetes Care · doi:10.2337/dc23-1691 · Cited by 11
Semenova, J. F., Yushin, A. Y., Korbut, A. I., & Klimontov, V. V. (2024) · Biomedicines · doi:10.3390/biomedicines12092006 · Cited by 10
A User-Friendly Web Tool for Custom Analysis of Continuous Glucose Monitoring Data
Russon, C. L., Allen, M. J., Pulsford, R. M., Saunby, M., Vaughan, N., Cocks, M. S., Hesketh, K. L., Low, J., & Andrews, R. C. (2024) · Journal of Diabetes Science and Technology · doi:10.1177/19322968241274322 · Cited by 10
Asl, Z. R., Rezaee, K., Ansari, M., Zare, F., & Roknabadi, M. H. A. (2024) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2024.135988 · Cited by 12
Liu, Y., Fu, H., Wang, Y., Sun, J., Zhang, R., Zhong, Y., Yang, T., Han, Y. T., Xiang, Y., Yuan, B., et al. (2025) · Frontiers in Endocrinology · doi:10.3389/fendo.2025.1546164 · Cited by 11
Yan, S., Ding, L., & Cai, Y. (2025) · Nonlinear Dynamics · doi:10.1007/s11071-025-11192-2 · Cited by 10
Gonzalez, J. S., Hoogendoorn, C. J., Hernandez, R., Schneider, S., Mustafiz, F., Siddhanta, M., & Pyatak, E. A. (2025) · Diabetes Care · doi:10.2337/dc25-0559 · Cited by 13
Lucci, C., Marongiu, A., Genovese, S., Mazza, M., Cosentino, N., & Marenzi, G. (2025) · Cardiovascular Diabetology · doi:10.1186/s12933-025-02862-x · Cited by 12
Postprandial Glucose: A Variable in Continuum
Joshi, S., Kesavadev, J., M., P. K. K., Saboo, B., Mehta, A., Bhattacharyya, A., Sosale, A., Jabbar, P. K., Santosh, R., Deshmukh, V. C., et al. (2025) · Clinical Medicine Insights Endocrinology and Diabetes · doi:10.1177/11795514251370507 · Cited by 11
Self-citationPraxisbezogene Empfehlungen zum Ambulanten Glukoseprofil
Kroeger, J., Reichel, A., Siegmund, T., & Ziegler, R. (2018) · Diabetologie und Stoffwechsel · doi:10.1055/a-0576-6497 · Cited by 10
Understanding Reflection Needs for Personal Health Data in Diabetes
Prioleau, T., Sabharwal, A., & Vasudevan, M. M. (2020) · International Conference on Pervasive Computing Technologies for Healthcare · doi:10.1145/3421937.3421972 · Cited by 10
The Prognostic Value of Time in Range in Type 2 Diabetes
Selvin, E. (2021) · Diabetes Care · doi:10.2337/dci20-0066 · Cited by 10
An Examination of the Glucose Management Indicator in Young Children with Type 1 Diabetes
Monzon, A. D., Patton, S. R., & Clements, M. A. (2021) · Journal of Diabetes Science and Technology · doi:10.1177/19322968211023171 · Cited by 10
Svensson, C. H., Henriksen, M. M., Thorsteinsson, B., & Pedersen‐Bjergaard, U. (2021) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2021.0216 · Cited by 10
Thivolet, C. H., Gaudillière, M., Fimbel, S., Bendelac, N., Mestre, B., Protsenko, N., Brunot, S., & Nicolino, M. P. (2021) · Acta Diabetologica · doi:10.1007/s00592-021-01820-9 · Cited by 10
Camerlingo, N., Vettoretti, M., Sparacino, G., Facchinetti, A., Mader, J. K., Choudhary, P., & Favero, S. D. (2021) · Diabetic Medicine · doi:10.1111/dme.14758 · Cited by 10
Flash glucose monitoring system in special situations
Rigon, F., Ronsoni, M. F., Vianna, A. G. D., Schiavon, L. D. L., Hohl, A., & van de Sande‐Lee, S. (2022) · Archives of Endocrinology and Metabolism · doi:10.20945/2359-3997000000479 · Cited by 10
Zhou, Y., Mai, X., Deng, H., Yang, D., Zheng, M., Huang, B., Xu, L., Weng, J., Xu, W., & Yan, J. (2022) · Journal of Diabetes · doi:10.1111/1753-0407.13296 · Cited by 9
Santana, D., Mosteiro, A., Pedrosa, L., Llull, L., Torné, R., & Amaro, S. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.977307 · Cited by 10
Molveau, J., RABASA-LHORET, R. P. R., Myette‐Côté, É., Messier, V., Suppère, C., Potter, K. J., Heyman, E., & Tagougui, S. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.953879 · Cited by 10
Liang, Z. (2022) · Frontiers in Medical Technology · doi:10.3389/fmedt.2022.1026830 · Cited by 10
Glycaemia and cardiac arrhythmias in people with type 1 diabetes: A prospective observational study
Hagelqvist, P. G., Andersen, A., Maytham, K. B., Andreasen, C. R., Engberg, S., Lindhardt, T. B., Forman, J. L., Pedersen‐Bjergaard, U., Knop, F. K., & Vilsbøll, T. (2023) · Diabetes Obesity and Metabolism · doi:10.1111/dom.15108 · Cited by 11
Is Continuous Glucose Monitoring a Tool, an Intervention, or Both?
Wright, E. E., & Subramanian, S. (2023) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2023.0025 · Cited by 10
Novel Approaches to the Management of Diabetes Mellitus in Patients with Coronary Artery Disease
Oikonomou, E. K., Xenou, M., Zakynthinos, G. Ε., Tsaplaris, P., Lampsas, S., Bletsa, E., Gialamas, I., Kalogeras, K. I., Goliopoulou, A., Gounaridi, M. I., et al. (2023) · Current Pharmaceutical Design · doi:10.2174/1381612829666230703161058 · Cited by 11
Cui, E. H., Goldfine, A. B., Quinlan, M., James, D. A., & Sverdlov, O. (2023) · Frontiers in Clinical Diabetes and Healthcare · doi:10.3389/fcdhc.2023.1244613 · Cited by 10
Yunir, E., Nugraha, A. R. A., Rosana, M., Kurniawan, J., Iswati, E., Sarumpaet, A., Tarigan, T. J. E., & Tahapary, D. L. (2023) · Scientific Reports · doi:10.1038/s41598-023-43459-2 · Cited by 13
MIDYETT, K., Unger, J. R., Wright, E. E., Daniel, T. D., Kruger, D. F., Henry, R. R., & Hegazi, R. A. F. (2018) · Clinical Diabetes · doi:10.2337/cd18-0006 · Cited by 11
Corrales, P. J. P., Bellido, V., & Ampudia‐Blasco, F. J. (2018) · Revista Clínica Española · doi:10.1016/j.rce.2018.06.015 · Cited by 12
Carlson, A. L., Mullen, D. M., Mazze, R. S., Strock, E. S., Richter, S. A., & Bergenstal, R. M. (2019) · Endocrine Practice · doi:10.4158/ep-2018-0177 · Cited by 10
Self-citationMonnier, L., Colette, C., & Owens, D. R. (2019) · Diabetes & Metabolism · doi:10.1016/j.diabet.2019.101118 · Cited by 11
Chrzanowski, J., Michalak, A., Łosiewicz, A., Kuśmierczyk-Kozieł, H., Mianowska, B., Szadkowska, A., & Fendler, W. M. (2020) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2020.0433 · Cited by 10
Novel management of diabetes in kidney transplantation
Ong, S., & Rhee, C. M. (2020) · Current Opinion in Nephrology & Hypertension · doi:10.1097/mnh.0000000000000665 · Cited by 10
Continuous Glucose Monitoring Use in Clinical Trials for On-Market Diabetes Drugs
Fox, B. Q., Benjamin, P. F., Aqeel, A., Fitts, E., Flynn, S., Levine, B., Maslak, E., Milner, R. L., Ose, B. M., Poeschla, M., et al. (2021) · Clinical Diabetes · doi:10.2337/cd20-0049 · Cited by 12
Self-citationToward an Optimal Definition of Hypoglycemia with Continuous Glucose Monitoring
MAHMOUDI, Z., Favero, S. D., Jacob, P., & Choudhary, P. (2021) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2021.106303 · Cited by 10
Zhang, X., Xu, D., Xu, P., Yang, S., Zhang, Q., Wu, Y., & Yuan, F. (2021) · Endocrine Connections · doi:10.1530/ec-21-0146 · Cited by 9
Dey, G., & Saha, A. (2021) · ACS Biomaterials Science & Engineering · doi:10.1021/acsbiomaterials.1c00830 · Cited by 9
Guo, J., Wang, J., Zhao, Z., & Yu, L. (2021) · Annals of Palliative Medicine · doi:10.21037/apm-21-2198 · Cited by 10
Taylor, G., Shaw, A., Smith, K., Wason, J. M. S., McDonald, T. J., Oram, R. A., Stevenson, E., Shaw, J., & West, D. J. (2022) · Diabetic Medicine · doi:10.1111/dme.14814 · Cited by 8
Molfetta, S. D., Rossi, A., Assaloni, R., Cherubini, V., Consoli, A., Bartolo, P. D., Guardasole, V., Laurenzi, A., Lombardo, F., Maffeis, C., et al. (2022) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2022.109867 · Cited by 13
Donaldson, L. E., Vogrin, S., So, M., Ward, G. M., Krishnamurthy, B., Sundararajan, V., MacIsaac, R. J., Kay, T. W. H., & McAuley, S. A. (2023) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2022.0563 · Cited by 10
Uanini, N. (2001) · Dialnet (Universidad de la Rioja) · Cited by 10
Gauthier, P., Desir, C., Plombas, M., Joffray, E., Benhamou, P., & Borel, A. (2023) · Journal of Sleep Research · doi:10.1111/jsr.13799 · Cited by 10
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
Strongin, L. G., Анатольевна, Н. Т., Викторовна, Б. Д., Георгиевна, К. К., & Петров, А. В. (2022) · Problems of Endocrinology · doi:10.14341/probl12840 · Cited by 9
Ye, J., Deng, J., Liang, W., Luo, H., Mei, W., Liu, L., Wang, M., & Shu, Y. (2022) · Journal of Diabetes Investigation · doi:10.1111/jdi.13876 · Cited by 9
Filipas, L., Gallo, G., Meloni, A., Luzi, L., & Codella, R. (2022) · Brain stimulation · doi:10.1016/j.brs.2022.09.005 · Cited by 9
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Kikani, N. J., & Balasubramanyam, A. (2022) · Endocrinology and Metabolism Clinics of North America · doi:10.1016/j.ecl.2022.06.005 · Cited by 11
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Toffanin, C., & Magni, L. (2023) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2023.3291564 · Cited by 10
Kataoka, Y., Kitahara, S., Funabashi, S., Makino, H., Matsubara, M., Matsuo, M., Omura‐Ohata, Y., Koezuka, R., Tochiya, M., Tamanaha, T., et al. (2023) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2023.108592 · Cited by 9
Takagi, A., Kusunoki, Y., Ohigashi, M., Osugi, K., Inoue, C., Inoue, M., Tsunoda, T., Kadoya, M., Konishi, K., Katsuno, T., et al. (2023) · Acta Diabetologica · doi:10.1007/s00592-023-02214-9 · Cited by 12
Gomber, A., Valeta, F., Coates, M. M., Trujillo, C., Ferrari, G., Boti, M., Kumwenda, K., Mailosi, B. G. D., Nakotwa, D., Drown, L., et al. (2024) · BMJ Open · doi:10.1136/bmjopen-2023-075554 · Cited by 11
Scidà, G., Corrado, A., Abuqwider, J., Lupoli, R., Rainone, C., Pepa, G. D., Masulli, M., Annuzzi, G., & Bozzetto, L. (2024) · Journal of Diabetes Science and Technology · doi:10.1177/19322968241256475 · Cited by 9
Kelly, C. S., Nguyen, H. T. N., CHAPMAN, K. S. M., & Wolf, W. A. (2024) · Diabetic Medicine · doi:10.1111/dme.15425 · Cited by 9
Shang, J., Yuan, Z., Zhang, Z., Zhou, Q., Zou, Y., & Wang, W. (2025) · Journal of Medical Internet Research · doi:10.2196/67012 · Cited by 9
The Challenge of Type 3c Diabetes: From Accurate Diagnosis to Effective Treatment
Milani, I., Guarisco, G., Chinucci, M., Gaita, C., Leonetti, F., & Capoccia, D. (2025) · JCEM Case Reports · doi:10.1210/jcemcr/luaf109 · Cited by 11
Inoue, M., Kusunoki, Y., Ohigashi, M., Osugi, K., Inoue, C., Otsuka, A., Azuma, D., Ikeda, H., Tamada, D., Inagaki, T., et al. (2025) · Diabetes Obesity and Metabolism · doi:10.1111/dom.16511 · Cited by 9
Bakhshi, B., Sultana, N., Lin, H., Fei, D., Vallejo, V., Gatanti, A., Steenkamp, D., Murabito, J. M., McKeown, N. M., Walker, M. E., et al. (2025) · American Journal of Clinical Nutrition · doi:10.1016/j.ajcnut.2025.07.026 · Cited by 10
Corbett, J. P., Colmegna, P. H., Garcia‐Tirado, J., & Breton, M. D. (2020) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2020.12.652 · Cited by 9
Tokutsu, A., Okada, Y., Mita, T., Torimoto, K., Wakasugi, S., Katakami, N., Yoshii, H., Uriu, K., Nishida, K., Arao, T., et al. (2021) · Diabetes Obesity and Metabolism · doi:10.1111/dom.14550 · Cited by 9
Zhang, L., Xu, Y., Jiang, X., Wu, J., Liu, F., Fan, L., Li, X., Yin, G., & Yang, L. (2021) · Journal of Diabetes Investigation · doi:10.1111/jdi.13693 · Cited by 8
Lupoli, R., Calcaterra, I. L., Annunziata, G., Tenore, G. C., Rainone, C., Schiavo, L., Capaldo, B., & Minno, M. N. D. D. (2022) · Biomedicines · doi:10.3390/biomedicines10040916 · Cited by 9
Messaaoui, A., Tenoutasse, S., Hajselova, L., & Crenier, L. (2022) · Diabetes Therapy · doi:10.1007/s13300-022-01297-x · Cited by 9
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Yeung, A. M., Huang, J. K., Klonoff, D. C., Seigel, R., Goldman, J. M., Shah, S. N., Corathers, S. D., Vidmar, A. P., Tut, M., & Espinoza, J. (2022) · Journal of Diabetes Science and Technology · doi:10.1177/19322968221119146 · Cited by 9
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Zhu, D., Cheng, X., & Ding, N. (2023) · International Journal of Ophthalmology · doi:10.18240/ijo.2023.06.13 · Cited by 9
New therapies towards a better glycemic control in youths with type 1 diabetes
Cardona‐Hernandez, R., Dovč, K., Biester, T., Ekhlaspour, L., Macedoni, M., Tauschmann, M., & Mameli, C. (2023) · Pharmacological Research · doi:10.1016/j.phrs.2023.106882 · Cited by 12
Kong, L., Deng, B., Guo, M., Chen, M., Wang, X., Zhang, M., Tang, H., Wang, Q., Yang, L., & Xiong, Z. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1229494 · Cited by 10
Wang, J., Liu, N., Zheng, S., Wang, X., Zhang, P., Lu, C., Wang, L., Zhou, W., Cheng, G., & Hu, L. (2023) · Early Human Development · doi:10.1016/j.earlhumdev.2023.105878 · Cited by 9
Kim, H., Nam, S., Durukan, M. B., Ünalan, H. E., & Lee, H. J. (2023) · Advanced Functional Materials · doi:10.1002/adfm.202308086 · Cited by 10
D’Souza, N. C., Kesibi, D., Yeung, C., Shakeri, D., D’Souza, A. I., Macpherson, A., & Riddell, M. C. (2023) · Sensors · doi:10.3390/s23229059 · Cited by 9
Caruso, P., Scappaticcio, L., Gicchino, M., Castaldo, F., Barrasso, M., Carbone, C., Caputo, M., Tomasuolo, M., Paglionico, V. A., Bellastella, G., et al. (2024) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2024.102990 · Cited by 9
Oral Anaerobutyricum soehngenii augments glycemic control in type 2 diabetes
Attaye, I., Witjes, J. J., Koopen, A. M., van der Vossen, E. W. J., Zwirs, D., Wortelboer, K., Collard, D., Kemper, E. M., Winkelmeijer, M., Holst, J. J., et al. (2024) · iScience · doi:10.1016/j.isci.2024.110455 · Cited by 10
Bila, R., Varo, R., Madrid, L., Sitoe, A., & Bassat, Q. (2018) · Biosensors · doi:10.3390/bios8020043 · Cited by 9
de Valk, H. W., Lablanche, S., Bosi, E., Choudhary, P., Silva, J. D., Castañeda, J., Vorrink, L., de Portu, S., & Cohen, O. (2018) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2018.0222 · Cited by 9
Self-citationRationale and Design for a GRADE Substudy of Continuous Glucose Monitoring
Larkin, M., Nathan, D. M., Bebu, I., Krause-Steinrauf, H. J., Herman, W. H., Higgins, J. M., Tiktin, M., Cohen, R. M., Lund, C., Bergenstal, R. M., et al. (2019) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2019.0202 · Cited by 9
Self-citationHas subsidized continuous glucose monitoring improved outcomes in pediatric diabetes?
Swaney, E. E. K., McCombe, J., Coggan, B., Donath, S. M., O’Connell, M. A., & Cameron, F. J. (2020) · Pediatric Diabetes · doi:10.1111/pedi.13106 · Cited by 9
CGM for insulinoma screening: a prospective and observational case-control study
Ma, J., Huang, X., Zhao, J., Lu, J., Lu, W., Bao, Y., Zhou, J., & Han, J. (2021) · Endocrine Related Cancer · doi:10.1530/erc-20-0447 · Cited by 9
Ling, J., Poon, E. W. M., Yang, A., Yeung, T., Loo, K.-M., Ozaki, R., Ronald, C. W., Luk, A. O. Y., Kong, A. P. S., Chan, J. C. N., et al. (2021) · Diabetes Therapy · doi:10.1007/s13300-021-01046-6 · Cited by 9
Handa, T., Nakamura, A., Miya, A., Nomoto, H., Kameda, H., Cho, K. Y., Nagai, S., Yoshioka, N., Miyoshi, H., & Atsumi, T. (2021) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-021-00656-1 · Cited by 9
Dori‐Dayan, N., Cukierman‐Yaffe, T., Kedar, N., Zemet, R., Cohen, O., Mazaki‐Tovi, S., & Yoeli‐Ullman, R. (2021) · Gynecological Endocrinology · doi:10.1080/09513590.2021.1993814 · Cited by 9
Kontou, T. G., Sargent, C., & Roach, G. D. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph182412994 · Cited by 9
Baudu, J., Gerbaud, É., Catargi, B., Montaudon, M., Beauvieux, M.-C., Sagnier, S., Debruxelles, S., Renou, P., Poli, M. F., Olindo, S., et al. (2022) · Revue Neurologique · doi:10.1016/j.neurol.2021.12.010 · Cited by 9
Lovell, H., Mitchell, A., Ovadia, C., Pitrelli, N., Briley, A. L., Singh, C. M., Marschall, H., Cruickshank, K. J., Murphy, H. R., Seed, P. T., et al. (2022) · Trials · doi:10.1186/s13063-022-06462-y · Cited by 10
Self-citationShao, J., Liu, Z., Li, S., Wu, B., Nie, Z., Li, Y., & Zhou, K. (2022) · Journal of Computational Biology · doi:10.1089/cmb.2022.0100 · Cited by 9
Alarcón, P. P., Felgueroso, C. A., Ares, J., Morales-Sánchez, P., Goitia, C. L., Escobedo, R. R., Rodríguez‐Rodero, S., Delgado, E., & Torre, E. L. M. (2022) · Endocrinología Diabetes y Nutrición (English ed ) · doi:10.1016/j.endien.2022.08.001 · Cited by 9
Wu, Z., Lebbar, M., Taleb, N., Legault, L., Messier, V., & RABASA-LHORET, R. P. R. (2022) · Diabetes Obesity and Metabolism · doi:10.1111/dom.14850 · Cited by 9
Piersanti, A., Littero, M., Del Giudice, L. L., Marcantoni, I., Burattini, L., Tura, A., & Morettini, M. (2025) · Sensors · doi:10.3390/s25134038 · Cited by 5
Tillman, J. B., Beck, R. W., Polonsky, W. H., Calhoun, P., Mouse, T., Bailey, R., Jacoby, J., Nandan, R., Sheikh, F. N., & Malone, J. K. (2025) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgae778 · Cited by 1
Self-citation
Metadata
- Authors
- Danne, T., Nimri, R., Battelino, T., Bergenstal, R. M., Close, K. L., DeVries, J. H., Garg, S., Heinemann, L., Hirsch, I., Amiel, S. A., Beck, R., Bosi, E., Buckingham, B., Cobelli, C., Dassau, E., Doyle, F. J., Heller, S., Hovorka, R., Jia, W., Jones, T., Kordonouri, O., Kovatchev, B., Kowalski, A., Laffel, L., Maahs, D., Murphy, H. R., Nørgaard, K., Parkin, C. G., Renard, E., Saboo, B., Scharf, M., Tamborlane, W. V., Weinzimer, S. A., & Phillip, M.
- Affiliations
- Kinderkrankenhaus auf der Bult (DE)
- Schneider Children's Medical Center (IL)
- University of Ljubljana (SI)
- Park Nicollet Health Services (US)
- Close Concerns (United States) (US)
- Amsterdam UMC Location University of Amsterdam (NL)
- University of Colorado Denver (US)
- Science & Co, Düsseldorf, Germany
- University of Washington (US)
- King's College London (GB)
- Jaeb Center for Health Research (US)
- Vita-Salute San Raffaele University (IT)
- Stanford Medicine (US)
- University of Padua (IT)
- Harvard University (US)
- University of Sheffield (GB)
- University of Cambridge (GB)
- Shanghai Jiao Tong University (CN)
- Telethon Kids Institute and School of Paediatrics and Child Health, The University of Western Australia, and Department of Endocrinology and Diabetes, Princess Margaret Hospital for Children, Perth, Australia
- University of Virginia (US)
- Breakthrough T1D (US)
- Joslin Diabetes Center (US)
- University of East Anglia (GB)
- Hvidovre Hospital (DK)
- CGParkin Communications, Boulder City, NV
- Department of Endocrinology, Diabetes, and Nutrition, Montpellier University Hospital, and Institute of Functional Genomics, University of Montpellier, and INSERM Clinical Investigation Centre, Montpellier, France
- DiaCare, Ahmedabad, Gujarat, India
- Hospital Nossa Senhora das Graças (BR)
- Yale University (US)
- Corresponding author
- Danne, Thomas
- ORCID
- Danne, Thomas
- Nimri, Revital
- Battelino, Tadej
- Bergenstal, Richard M.
- Close, Kelly L.
- DeVries, J. Hans
- Garg, Satish
- Heinemann, Lutz
- Hirsch, Irl
- Amiel, Stephanie A.
- Beck, Roy
- Bosi, Emanuele
- Buckingham, Bruce
- Cobelli, Claudio
- Dassau, Eyal
- Doyle, Francis J.
- Heller, Simon
- Hovorka, Roman
- Jia, Weiping
- Jones, Tim
- Kordonouri, Olga
- Kovatchev, Boris
- Kowalski, Aaron
- Laffel, Lori
- Maahs, David
- Murphy, Helen R.
- Nørgaard, Kirsten
- Parkin, Christopher G.
- Saboo, Banshi
- Tamborlane, William V.
- Weinzimer, Stuart A.
- Phillip, Moshe
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2017-11-10
- Volume
- 40
- Issue
- 12
- Pages
- 1631-1640
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- PMC
- PMC6467165
- OpenAlex
- W2770616601
- Cited by
- 2,069
- References
- 82
- Citations by year
- 2026: 175 · 2025: 227 · 2024: 241 · 2023: 247 · 2022: 281 · 2021: 298 · 2020: 271 · 2019: 210 · 2018: 110 · 2017: 2
- FWCI
- 128.71
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Diabetes Care (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (publishedVersion, other-oa)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, other-oa)
- UWA Profiles and Research Repository (UWA) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- HAL (submittedVersion)
- Archivio Istituzionale della Ricerca - Università Vita-Salute San Raffaele (submittedVersion)
- Apollo (University of Cambridge) (submittedVersion)
- Apollo
- Funders
- American Diabetes Association
- Abbott Laboratories
- Bristol-Myers Squibb
- Eli Lilly and Company
- AstraZeneca
- Sanofi
- Leona M. and Harry B. Helmsley Charitable Trust
- Bigfoot Biomedical
- Insulet Corporation
- Dexcom
- Jaeb Center for Health Research
- National Institute for Health and Care Research (NF-SI-0515-10079, CDF-2013-06-035)
- Bayer HealthCare
- Novo Nordisk
- Roche Diabetes Care
- Abbott Diabetes Care
- National Institute of Diabetes and Digestive and Kidney Diseases (P30DK116074)
- 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 Management and Education
- Keywords
- continuous glucose monitoring, glycemic control, HbA1c, HbA1c limitations, hypoglycemia, postprandial hyperglycemia, diabetes management, real-time CGM, diabetes complications, expert consensus recommendations
- MeSH terms
- Blood Glucose, Clinical Trials as Topic, Diabetes Mellitus, Type 1, Diabetes Mellitus, Type 2, Glycated Hemoglobin, Humans, Hyperglycemia, Hypoglycemia, Hypoglycemic Agents, Insulin, International Agencies, Physicians, Reference Standards, Research Personnel, Blood Glucose Self-Monitoring, Consensus
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