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Effect of Continuous Glucose Monitoring on Glycemic Control in Patients With Type 2 Diabetes Treated With Basal Insulin: A Randomized Clinical Trial
Open accessAbstract
Importance: Continuous glucose monitoring (CGM) has been shown to be beneficial for adults with type 2 diabetes using intensive insulin therapy, but its use in type 2 diabetes treated with basal insulin without prandial insulin has not been well studied. Objective: To determine the effectiveness of CGM in adults with type 2 diabetes treated with basal insulin without prandial insulin in primary care practices. Design, Setting, and Participants: This randomized clinical trial was conducted at 15 centers in the US (enrollment from July 30, 2018, to October 30, 2019; follow-up completed July 7, 2020) and included adults with type 2 diabetes receiving their diabetes care from a primary care clinician and treated with 1 or 2 daily injections of long- or intermediate-acting basal insulin without prandial insulin, with or without noninsulin glucose-lowering medications. Interventions: Random assignment 2:1 to CGM (n = 116) or traditional blood glucose meter (BGM) monitoring (n = 59). Main Outcomes and Measures: The primary outcome was hemoglobin A1c (HbA1c) level at 8 months. Key secondary outcomes were CGM-measured time in target glucose range of 70 to 180 mg/dL, time with glucose level at greater than 250 mg/dL, and mean glucose level at 8 months. Results: Among 175 randomized participants (mean [SD] age, 57 [9] years; 88 women [50%]; 92 racial/ethnic minority individuals [53%]; mean [SD] baseline HbA1c level, 9.1% [0.9%]), 165 (94%) completed the trial. Mean HbA1c level decreased from 9.1% at baseline to 8.0% at 8 months in the CGM group and from 9.0% to 8.4% in the BGM group (adjusted difference, -0.4% [95% CI, -0.8% to -0.1%]; P = .02). In the CGM group, compared with the BGM group, the mean percentage of CGM-measured time in the target glucose range of 70 to 180 mg/dL was 59% vs 43% (adjusted difference, 15% [95% CI, 8% to 23%]; P < .001), the mean percentage of time at greater than 250 mg/dL was 11% vs 27% (adjusted difference, -16% [95% CI, -21% to -11%]; P < .001), and the means of the mean glucose values were 179 mg/dL vs 206 mg/dL (adjusted difference, -26 mg/dL [95% CI, -41 to -12]; P < .001). Severe hypoglycemic events occurred in 1 participant (1%) in the CGM group and in 1 (2%) in the BGM group. Conclusions and Relevance: Among adults with poorly controlled type 2 diabetes treated with basal insulin without prandial insulin, continuous glucose monitoring, as compared with blood glucose meter monitoring, resulted in significantly lower HbA1c levels at 8 months. Trial Registration: ClinicalTrials.gov Identifier: NCT03566693.
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“Benefits of CGM in this population include reductions in A1C, fewer severe hypoglycemia events in children and adults, increased TIR, as well as significant reductions in hospitalizations for severe hypoglycemia and DKA.156,162–168”
From American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update. (2022) · cites this paper as [167]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Continuous glucose monitoring for adults with type 2 diabetes (both those using and not using insulin)24,25 also achieves improved glycated haemoglobin concentrations without impacting the rate of hypoglycaemia.”
From Blood glucose monitoring devices: current considerations (2023) · cites this paper as [24]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Randomized controlled trials of the use of rt-CGM, compared with standard blood glucose monitoring, in adults with type 2 diabetes have generally shown reductions in HbA 1c with no significant change in time in hypoglycemia (169-172).”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [172]
Experimental — accuracy not yet measuredIn the citing paper
“RCT data on rtCGM use in individuals with type 2 diabetes on MDI (59), mixed therapies (10, 60), and basal insulin (61,62) have consistently shown reductions in A1C levels and increases in TIR (70-180 mg/dL [3.9-10 mmol/L]) but not a reduction in rates of hypoglycemia (63).”
From 7. Diabetes Technology: Standards of Care in Diabetes—2025 (2025) · cites this paper as [61]
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Citations
Cites
Stratton, I. M. (2000) · BMJ · doi:10.1136/bmj.321.7258.405 · Cited by 9,059
Battelino, T., Danne, T., Bergenstal, R. M., Amiel, S. A., Beck, R., Biester, T., Bosi, E., Buckingham, B. A., Cefalu, W. T., Close, K. L., et al. (2019) · Diabetes Care · doi:10.2337/dci19-0028 · Cited by 4,237
Self-citationInternational consensus on use of continuous glucose monitoring
Danne, T., Nimri, R., Battelino, T., Bergenstal, R. M., Close, K. L., DeVries, J. H., Garg, S., Heinemann, L., Hirsch, I., Amiel, S. A., et al. (2017) · Diabetes Care · doi:10.2337/dc17-1600 · Cited by 2,069
Self-citationThe Diabetes Control and Complications Trial Research Group (1995) · Diabetes · doi:10.2337/diab.44.8.968 · Cited by 1,301
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
Lind, M., Polonsky, W., Hirsch, I. B., Heise, T., Bolinder, J., Dahlqvist, S., Schwarz, E., Ólafsdóttir, A. F., Frid, A., Wedel, H., et al. (2017) · JAMA · doi:10.1001/jama.2016.19976 · Cited by 705
Self-citationBeck, R. W., Riddlesworth, T. D., Ruedy, K., Ahmann, A., Haller, S., Kruger, D., McGill, J. B., Polonsky, W., Price, D., Aronoff, S., et al. (2017) · Annals of Internal Medicine · doi:10.7326/m16-2855 · Cited by 635
Self-citationvan Beers, C. A. J., DeVries, J. H., Kleijer, S. J., Smits, M. M., Geelhoed-Duijvestijn, P. H., Kramer, M. H. H., Diamant, M., Snoek, F. J., & Serné, E. H. (2016) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(16)30193-0 · Cited by 386
Real-time continuous glucose monitoring among participants in the T1D Exchange clinic registry
Wong, J. C., Foster, N. C., Maahs, D. M., Raghinaru, D., Bergenstal, R. M., Ahmann, A. J., Peters, A. L., Bode, B. W., Aleppo, G., Hirsch, I. B., et al. (2014) · Diabetes Care · doi:10.2337/dc14-0303 · Cited by 318
Self-citation
Cited by
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Items 401–500 of 542
Alvarado-Cruz, M. S., & Jalca, A. D. C. (2023) · MQRInvestigar · doi:10.56048/mqr20225.7.4.2023.2056-2070
Bailey, R. J., Calhoun, P. M., Beck, R. W., Bergenstal, R. M., & Aleppo, G. (2022) · Diabetes Care · doi:10.2337/dci22-0006 · Cited by 1
Self-citationDavidson, M. B. (2022) · Diabetes Care · doi:10.2337/dc21-2705 · Cited by 1
Cowart, K., Olson, K. W., & Carris, N. W. (2025) · Expert Review of Medical Devices · doi:10.1080/17434440.2025.2463339 · Cited by 1
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Dovč, K., Bode, B. W., & Battelino, T. (2025) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2025.8802.kd · Cited by 2
Paponette, B., Keaver, L., Lynch, P. M., Eltoum, E., Clarke, L., Carty, J., Bacon, S., & McHugh, C. (2025) · Endocrine Abstracts · doi:10.1530/endoabs.115.ep13 · Cited by 1
Empowering digital health management with on-device large language models for glucose predictionPreprint
Zhu, T., Howson, J. M. M., & Nevado‐Holgado, A. J. (2025) · medRxiv · doi:10.1101/2025.07.12.25331188 · Cited by 1
“Multiple large-scale clinical studies have demonstrated that CGM technology substantially improves patient outcomes, reduces the burden of daily management, and improves quality of life through more comprehensive glycemic monitoring and reduced measurement invasiveness in both T1D and T2D [5–8].”
A Comprehensive Review of the Evolving Landscape of Continuous Glucose Monitoring Metrics (Preprint)Preprint
Williams, E., Rand, C. M., Ayers, A. T., Ho, C. W. L., DuBord, A. Y., Klonoff, D. C., & Espinoza, J. (2026) · doi:10.2196/preprints.92455 · Cited by 1
Hernández-Núñez, W., Villareal-Perez, J. Z., & Rodríguez‐Gutiérrez, R. (2021) · JAMA · doi:10.1001/jama.2021.13475
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Krome, S. (2021) · Diabetologie und Stoffwechsel · doi:10.1055/a-1593-1219
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(2021) · DMW - Deutsche Medizinische Wochenschrift · doi:10.1055/a-1545-2014
Lutula, J., Lamine, F., Andrey, M., Galfetti, L., & Wojtusciszyn, A. (2022) · JMIG · doi:10.53738/revmed.2022.18.784.1116
Hamann, A. (2022) · Die Diabetologie · doi:10.1007/s11428-022-00929-x
A folyamatos glükózmonitorozás jelentősége a korszerű diabetesgondozásban
Kocsis, G. (2022) · Lege Artis Medicinae · doi:10.33616/lam.32.016
Part Five: The Role of Deprescribing and Adjusting Glycemic Targets in Older People With Diabetes
Isaacs, D. M., & Mobley-Bukstein, W. (2022) · The Senior Care Pharmacist · doi:10.4140/tcp.n.2022.384
Efficience et précision du contrôle glycémique dans le diabète : symphonie inachevée ?
Monnier, L., Halimi, S., & Colette, C. (2022) · Médecine des Maladies Métaboliques · doi:10.1016/j.mmm.2022.11.005
Eine neue Welt: Verbesserung der Diabetestherapie durch digitale und technische Innovationen
Menzen, M. (2023) · DMW - Deutsche Medizinische Wochenschrift · doi:10.1055/a-1911-2926
“ABKÜRZUNGEN AGP ambulantes Glukose-Profil AID Automated Insulin Delivery CGM kontinuierliche Glukosemessung CGMS Continuous Glucose Monitoring System GIGV Gesundheits-IT-Interoperabilitäts-Governance-Verordnung GMI Glucose Management Indikator HCL Hybrid Closed Loop TIR Time in Range Stand der Dinge Menschen mit Diabe…”
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Perez, M. V. (2023) · Journal of Cardiovascular Electrophysiology · doi:10.1111/jce.15903
Using Diabetes Technology to Maximize Diabetes Management
Young, C. F., Wong, S. M., & Vanderwyk, K. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-95884-4.00006-8
Saxena, R. K., Singh, A. B., & .Singh, D. N. P. (2023) · International Journal of Life Science and Pharma Research · doi:10.22376/ijlpr.2023.13.4.sp6.l87-l99
Does use of continuous or flash glucose monitors decrease hypoglycemia episodes in T2D?
Wen, F. K. (2023) · The Journal of Family Practice · doi:10.12788/jfp.0643
Aggarwal, A., & Kaur, R. (2023) · Diabetes Therapy · doi:10.1007/s13300-023-01453-x
Bertoluci, M. C., Júnior, W. S. D. S., Valente, F., Araujo, L. R., Lyra, R., de Castro, J. J., Raposo, J. F., Miranda, P. A. C., Boguszewski, C. L., Hohl, A., et al. (2023) · Revista Portuguesa de Endocrinologia Diabetes e Metabolismo · doi:10.26497/na230038
Fang, M., McCoy, R. G., O’Connor, P. J., & Selvin, E. (2023) · American Public Health Association eBooks · doi:10.2105/9780875533377ch12
Miscellaneous Topics in Disorders of Endocrine Glands
Quarde, A. (2023) · Wiley eBooks · doi:10.1002/9781119863564.ch8
Badnjević-Čengić, A., Čerim-Aldobašić, A., Hodžić, M., & Dautbegović-Stevanović, D. (2024) · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · doi:10.1007/978-3-031-49068-2_20
Surveillance du glucose en continu
Harris, S. B., Bari, B., & Gilbert, J. D. (2024) · Canadian Medical Association Journal · doi:10.1503/cmaj.230572-f
Traiter les hypoglycémies iatrogènes à l’ère des nouvelles technologies
Monnier, L., & Colette, C. (2024) · Médecine des Maladies Métaboliques · doi:10.1016/j.mmm.2024.02.002
Hirsch, B. R. (2024) · Journal of the American Association of Nurse Practitioners · doi:10.1097/jxx.0000000000000993
Jecht, M. (2024) · Die Diabetologie · doi:10.1007/s11428-024-01215-8
Comprensión y manejo de la diabetes mellitus: una revisión bibliográfica
Guevara, J. R. Z., Pineda, R., Morales, J. P., & Loor, T. A. S. (2024) · Revista Científica Multidisciplinaria SAPIENTIAE · doi:10.56124/sapientiae.v7i15.008 · Cited by 1
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Jecht, M. (2024) · Die Diabetologie · doi:10.1007/s11428-024-01249-y
Assessing the Accuracy of CGM Metrics: The Role of Missing Data and Imputation StrategiesPreprint
Cichosz, S. L., Kronborg, T., Hangaard, S., Vestergaard, P., & Jensen, M. H. (2025) · medRxiv · doi:10.1101/2025.02.13.25322196 · Cited by 3
Lee, Y.-C., Lee, Y.-H., Lu, C., & Huang, K. (2025) · Travel Medicine and Infectious Disease · doi:10.1016/j.tmaid.2025.102828
Impact of Hybrid Care in Pharmacist-Led Diabetes Clinics on Hemoglobin A1c
Smith, A. E., Burke, J., Hawkins, D., Zaiken, K., & McNicol, E. D. (2025) · Journal of Pharmacy Technology · doi:10.1177/87551225251325481
Wu, C. C., Wu, K. C., & Reddy, S. (2025) · Diabetes Technology and Obesity Medicine · doi:10.1089/dtom.2025.0005
竹谷, 健., Nomura, T., & Okawa, T. (2025) · Cureus · doi:10.7759/cureus.81544 · Cited by 1
“Martens et al. showed that the use of CGM in patients with T2DM significantly reduced HbA1c levels by 1.1% after eight months compared to conventional SMBG [13].”
InfluentialSobczak, C., Oser, S. M., Warman, M., Daffron, A., Buss, D., Wettergreen, S. A., Oser, T. K., Parascando, J. A., & Jortberg, B. T. (2025) · ADCES in Practice · doi:10.1177/2633559x251328956
Developing CGMap: Characterizing Continuous Glucose Monitoring Data in Patients with Type 2 Diabetes
Bai, S., Lin, C., Cai, X., Hu, S., Wu, J. H., Chen, L., Yang, W., & Ji, L. (2025) · Biomedicines · doi:10.3390/biomedicines13051080
Clinical pharmacist roles in a virtual continuous glucose monitor initiation service
Wettergreen, S. A., Sobczak, C., Jortberg, B. T., Oser, S. M., Buss, D., Parascando, J. A., Daffron, A., & Oser, T. K. (2025) · JACCP JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY · doi:10.1002/jac5.70046
Albasheer, O. (2025) · Current Bioactive Compounds · doi:10.2174/0115734072353980250418211500 · Cited by 1
Eer, A., Hachem, M., Hearn, T., Koye, D. N., Atkinson‐Briggs, S., Jones, J. L., Eades, S., Braat, S., Twigg, S. M., Sinha, A. K., et al. (2025) · Pilot and Feasibility Studies · doi:10.1186/s40814-025-01607-7
Turner, C. D., Patel, K., Freeman, K. D., Ruff, L., Michaels, J., Bodnar, T. W., Saslow, L. R., Henderson, J., Oshman, L. D., Richardson, C. R., et al. (2025) · doi:10.2196/preprints.75672
Self-citationTop Ten Tips Palliative Care Clinicians Should Know About Managing Diabetes at End-of-Life
DePew, R. E., Hershman, T. S., Giles, M., Rosa, W. E., & Curseen, K. A. (2025) · Journal of Palliative Medicine · doi:10.1089/jpm.2025.0226
Mansuri, S., Song, M. W., & Amico, J. (2025) · Evidence-Based Practice · doi:10.1097/ebp.0000000000002436
Clin‐ STAR Corner: Practice Changing Advances in Diabetes Care
Kahkoska, A. R., Ortega, J., Bilal, A., & Pratley, R. E. (2025) · Journal of the American Geriatrics Society · doi:10.1111/jgs.19595
Alshannaq, H. A., Matuoka, J. Y., Pollock, R. F., Ahmed, W., Lynch, P. M., & Norman, G. J. (2025) · Journal of Managed Care & Specialty Pharmacy · doi:10.18553/jmcp.2025.31.8.752
Badawi, S. A. A., Alhajri, A. H. M., Altayb, N. M. O., Mohmmed, E., Hassabelrasoul, R. K. E., Mohammed, S. A. S., Mohammed, W. H. A., & Ghali, J. A. E. (2025) · Cureus · doi:10.7759/cureus.89534
“These findings align with broader evidence that RT-CGM’s real-time alerts reduce hypoglycemia in insulin-treated patients, as demonstrated in trials by Martens et al. [15], but may have limited impact in populations where hypoglycemia is less prevalent, such as those on non-insulin therapies.”
InfluentialStraton, E., Majidi, S., PERKINS, A. G., Barber, J. R., Wang, C., & Streisand, R. M. (2025) · Diabetes Technology & Therapeutics · doi:10.1177/15209156251376023
Stout, H. K., Planas, L. G., Sewell, H. E., Nadig, A. P., & O’Neal, K. S. (2025) · ADCES in Practice · doi:10.1177/2633559x251366099
Who is using continuous glucose monitoring for type 2 diabetes management? A scoping review protocol
Kragen, B., Resnik, J., Vimalananda, V. G., Sitter, K. E., Leibowitz, A. J., UNDERWOOD, P. C., & Kim, B. H. (2025) · BMJ Open · doi:10.1136/bmjopen-2025-106809
In-Sensor Real Time Learning for Continuous Glucose Monitoring
Sabatini, A., Saccani, F., Vollero, L., & Pau, D. P. (2025) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn64981.2025.11228616
Chou, Y.-Y., Liu, F.-H., & Lin, C. (2025) · BMC Endocrine Disorders · doi:10.1186/s12902-025-02108-7
“In adults with poorly-controlled type 2 diabetes, CGM leads to significantly lower HbA1c levels and improves glucose control compared with regular blood glucose monitoring (BGM) [13–15].”
DeBoest, A., Holley, C., Hickey, M., Kallenberger, M., John, J., & Baker, M. (2025) · American Journal of Health-System Pharmacy · doi:10.1093/ajhp/zxaf344 · Cited by 1
Turner, C. D., Patel, K., Freeman, K., Ruff, L., Michaels, J., Bodnar, T. W., Saslow, L. R., Henderson, J., Oshman, L. D., Richardson, C. R., et al. (2025) · JMIR Diabetes · doi:10.2196/75672
Self-citationChun, K.-H., Oh, J., Lee, C. J., Park, J. J., Lee, S. E., Kim, M.-S., Cho, H.-J., Choi, J.-O., Lee, H.-Y., Hwang, K.-K., et al. (2023) · Figshare · doi:10.6084/m9.figshare.22604215
Chun, K.-H., Oh, J., Lee, C. J., Park, J. J., Lee, S. E., Kim, M.-S., Cho, H.-J., Choi, J.-O., Lee, H.-Y., Hwang, K.-K., et al. (2023) · Figshare · doi:10.6084/m9.figshare.22604218
Chun, K.-H., Oh, J., Lee, C. J., Park, J. J., Lee, S. E., Kim, M.-S., Cho, H.-J., Choi, J.-O., Lee, H.-Y., Hwang, K.-K., et al. (2023) · Figshare · doi:10.6084/m9.figshare.22604224
Chun, K.-H., Oh, J., Lee, C. J., Park, J. J., Lee, S. E., Kim, M.-S., Cho, H.-J., Choi, J.-O., Lee, H.-Y., Hwang, K.-K., et al. (2023) · Figshare · doi:10.6084/m9.figshare.22604212
Chun, K.-H., Oh, J., Lee, C. J., Park, J. J., Lee, S. E., Kim, M.-S., Cho, H.-J., Choi, J.-O., Lee, H.-Y., Hwang, K.-K., et al. (2023) · Figshare · doi:10.6084/m9.figshare.22604221
UNDERWOOD, P. C., Babicheva, V., Keels, J. N., Flewelling, C., Petreca, V. G., Magny‐Normilus, C., & Upadhay, J. (2026) · The Science of Diabetes Self-Management and Care · doi:10.1177/26350106251405751
Dwiastuti, A., Latarissa, I. R., Hidayat, A. M., Halimah, E., & Lestari, K. (2026) · Diabetes, Metabolic Syndrome and Obesity : Targets and Therapy · doi:10.2147/dmso.s561759
“Future research should focus on long-term studies, use of diabetes-specific QoL instruments, and inclusion of behavioral, economic, and equity-related outcomes to provide a more comprehensive understanding of CGM’s role in T2DM care.”
Karimi, N., CHOI, S. E., Song, Y., & Tolentino, D. A. (2026) · Journal of the American Association of Nurse Practitioners · doi:10.1097/jxx.0000000000001237
Li, J., Ali, M., Liu, Y., Zhou, J., & Nie, Z. (2026) · IEEE Transactions on Consumer Electronics · doi:10.1109/tce.2026.3651517
“Feedback from clinicians and clinical results emphasize that monitoring actual BG values holds greater clinical relevance, enabling a deeper understanding of diabetic patients’ clinical profiles and leading to improved treatment strategies [19].”
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Shukla, V. K., & Tanushri (2026) · Springer eBooks · doi:10.1007/978-981-95-5519-2_14
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ADEEL, M., Pawarti, H., & Manga, Y. B. (2026) · Asian Journal of Human Services · doi:10.14391/ajhs.e3001.2.004
Sihota, A., Jain, A., CHIN, A., Chow, W., Jin, S., Molberg, T., PATIL, S., Siemens, R. L., Sivapalan, S., Smith, T., et al. (2026) · Canadian Journal of Diabetes · doi:10.1016/j.jcjd.2026.01.005
Liu, B., Hannah, K. L., Nemlekar, P. M., Green, C. R., & Norman, G. J. (2026) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s574769
Banaś, A., Bigajski, H., Janczarski, S., Kwolek, K., Laskowska, W., Michalik, M., Owczarska, A., Pilarek, M., Sarna, D., & Widera, P. (2025) · International Journal of Innovative Technologies in Social Science · doi:10.31435/ijitss.4(48).2025.4457
Rhee, C. M., Zisman‐Ilani, Y., Kalantar‐Zadeh, K., & Nguyen, D. V. (2026) · Current Opinion in Nephrology & Hypertension · doi:10.1097/mnh.0000000000001169
Paul, R. G., Matuoka, J. Y., Alshannaq, H. A., Pollock, R. F., & Norman, G. J. (2026) · Diabetes Obesity and Metabolism · doi:10.1111/dom.70593
Huang, Z., Wu, Y., Tang, C., Yao, B., Xie, X., Bin, X., Yan, X., Deng, T., Yang, W., Chen, G., et al. (2026) · Diabetes Obesity and Metabolism · doi:10.1111/dom.70665
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Neves, J. S., Teixeira, S., Neves, Â. S., Sampaio, L., Reis, M., Paiva, S., Mirante, A., Freitas, P., Nortadas, R., Melo, M., et al. (2026) · Endocrinology Insights · doi:10.1159/000551692
“In individuals on long-acting insulin therapy, there is robust clinical evidence demonstrating a significant improvement in time in range, accompanied by a reduction in time spent in hyperglycaemia, which is reflected in a reduction in HbA 1c [14, 28].”
Watada, H., Tanaka, S., Matuoka, J. Y., Alshannaq, H. A., Pollock, R. F., Field, M., & Norman, G. J. (2026) · Journal of Diabetes Investigation · doi:10.1111/jdi.70279
“For HbA1c, the effect size was varied by – 30% of the base case, in addition to being set to 0.6% based on a random-effects meta-analysis of the Steno2-Tech and MOBILE studies 22,23 , and being set to 0.56% based on results reported by Karter et al .”
InfluentialZhu, J., & Zhang, L. (2026) · BMC Endocrine Disorders · doi:10.1186/s12902-026-02167-4
Abdelgader, H. E. A., Hamed, S. A. H., Sidahmed, H. A. A., Gehani, A.-L., Al-Shaikhli, A., Ali, A. E. U., Hajali, H. M. A., Elsamani, E. A. E. M., & Ahmed, A. (2026) · Cureus · doi:10.7759/cureus.106693
“Randomized evidence in basal insulin-treated T2DM shows clinically meaningful HbA1c improvement with CGM versus standard monitoring, reinforcing CGM-enabled personalization as a practical outpatient strategy [14].”
Chico, A. I., Aguilera, E., Albareda, M., Moreno-Fernández, J., Beato-Víbora, P. I., Fernández-Rubio, E., Cuesta, M., Rodrigo, A. B., Ampudia‐Blasco, F. J., Bandrés, O., et al. (2026) · Acta Diabetologica · doi:10.1007/s00592-026-02682-9
JENDLE, J. H., Adolfsson, P., Hellman, J., Klanger, B., & Ekberg, N. R. (2026) · Diabetes Technology & Therapeutics · doi:10.1177/15209156261442987
Gilbert, J., Reichert, S. M., Cadieux, T., & Senior, P. A. (2026) · Canadian Journal of Diabetes · doi:10.1016/j.jcjd.2026.04.007
Kowalska, A. M., Kuls, A. A., Sobol, A. Z., Pabis, B., Wiktorowicz, J. M., Kadłubańska, M., Bulińska, N., Sinczak, Z., Zembrzuska, S., & Bajerski, S. (2026) · International Journal of Innovative Technologies in Social Science · doi:10.31435/ijitss.2(50).2026.5544
Solorzano, W. M., Scarlett, L. D., Villanueva, G. P., Mangual, K. P. S., Santana, C., Escobar, B., Rubio, A., JACKSON, N. J., Tavares, M., Borrell, J. A., et al. (2026) · Journal of Primary Care & Community Health · doi:10.1177/21501319261433345
Eiswirth, M. E., Resl, M., Kulzer, B., Roos, T., Trümpy, C., Balmer, M. L., Witthauer, L., Mader, J. K., Diem, P., Heinemann, L., et al. (2026) · Journal of Diabetes Science and Technology · doi:10.1177/19322968261444041
Polonsky, W. H., Clark, T. L., Soriano, E. C., Edgington, A., Bennett, C., Fox, A. E., & Grace, T. (2026) · Endocrinology, Diabetes & Metabolism · doi:10.1002/edm2.70236
Self-citationHayek, A. A., Zahrani, W. M. A., Alotaibi, H. F., & Dawish, M. A. A. (2026) · Journal of Diabetes Science and Technology · doi:10.1177/19322968261447256
Diabetestechnologie (Update 2026)
Schütz-Fuhrmann, I., Rami-Merhar, B. M., Hofer, S. E., Fröhlich-Reiterer, E. E., Tauschmann, M., Mader, J. K., Resl, M., Kautzky‐Willer, A., Winhofer-Stöckl, Y., Wascher, T. C., et al. (2026) · Wiener klinische Wochenschrift · doi:10.1007/s00508-025-02630-7
Fernández-Rubio, E., Blanco, J. A., Casanova, L. G., Martínez, I. M. P., Pérez, M. G., Torralba, M. E. S., Ruano, M. A. R., González, C., & Ampudia‐Blasco, F. J. (2026) · Endocrinología Diabetes y Nutrición · doi:10.1016/j.endinu.2026.501829 · Cited by 1
Gerber, F., Gupta, R., Sanchez-Samaniego, G., Lejone, T. I., Tahirsylaj, T., Raeber, F., Saavedra, E. B., Esquivel-Valdés, I., Chitja, M., Molulela, M., et al. (2026) · BMC Medicine · doi:10.1186/s12916-026-04943-4
“%) is within the range considered clinically relevant in diabetes trials [40].”
Liu, X., Zheng, D., Yang, Y., XiujuanZhang, M. D., PhD, C., Jin, X., Tian, Z., Dai, A., Xu, C., Xu, F.-Y., et al. (2026) · Journal of Diabetes Science and Technology · doi:10.1177/19322968261442573
Martens, T. W., Asche, S. E., JaKa, M. M., Johnson, M. L., DUNNIGAN, S. M., Haven, A. L., Morris, C., Barnaby, D., Maciosek, M. V., Dinh, J. M., et al. (2026) · Contemporary Clinical Trials · doi:10.1016/j.cct.2026.108357
Self-citationDzojic, K., Schönberger, E., Petrinović, M., Rimac, D. S., Erzic, E., Berković, M. C., Bakula, M., Bilić-Čurčić, I., & Canecki-Varžić, S. (2026) · Medicina · doi:10.3390/medicina62050938
“This pattern is consistent with previous randomized trials in insulin-treated type 2 diabetes, where CGM use was associated with modest but significant reductions in HbA1c [3,5].”
InfluentialPark-Chong, H., Benrimon, M., & Smaldone, A. M. (2026) · The Science of Diabetes Self-Management and Care · doi:10.1177/26350106261451194
Harris, R., Guariglia, C., & Cunningham, A. (2026) · JMIR Formative Research · doi:10.2196/92196
JI, R., Zhang, L., Yu, J., Wang, B., Zhang, L., Shang, D., Cao, Y., Hu, J. W., Liu, H., Rong, J., et al. (2026) · Research Square · doi:10.21203/rs.3.rs-9647623/v1
Diabetes Technology: Continuous Glucose Monitoring and Insulin Delivery
MacLeod, J., Willis, H. J., Sulik, B., & Chomko, M. (2026) · American Diabetes Association eBooks · doi:10.2337/9781580408493-ch08
Behavior Modifications From CUT-DM, Including Lifestyle Modification and Self-Efficacy
Vidovic, J., Vasconcelos, A. G., Berberian, P., Comstock, B. A., Montour, L., Wright, L. A.-C., & Ehrhardt, N. M. (2026) · Diabetes Obesity and Cardiometabolic CARE · doi:10.2337/doc25-0093
Hayek, A. A., Alzahrani, W. M., Ajlouni, M. M. A., & Dawish, M. A. A. (2026) · Journal of Diabetes & Metabolic Disorders · doi:10.1007/s40200-026-01982-9
“These studies consistently report improvements in glycemic outcomes, including reductions in HbA1c, increased time in range (%TIR 70–180 ), decreased glycemic variability, and fewer episodes of hypoglycemia [13, 17–21].”
InfluentialNavigating the digital health landscape in U.S. adults with diabetes
Burroughs, T. E., Varghese, B., Hirsch, I. B., Loux, T. M., Shacham, E., & Rozier, M. D. (2026) · Primary care diabetes · doi:10.1016/j.pcd.2026.06.002
Cao, T., Fang, M., Wallace, A. S., Malek, N. D., Valint, A., Wang, D., Echouffo-Tcheugui, J. B., Zeger, S. L., & Selvin, E. (2026) · Clinical Chemistry · doi:10.1093/clinchem/hvag067
Qian, T.-M., Guo, D., Zhang, M., Liu, Y.-H., & Jin, J. (2026) · Diabetic Medicine · doi:10.1111/dme.70404
“32 Integration with automated insulin delivery (AID) systems enables real-time optimization; nonrandomized and randomized trials in T2DM demonstrate TIR increases of 20% with concomitant GV reduction and low hypoglycaemia risk.”
Metadata
- Authors
- Martens, T., Beck, R. W., Bailey, R., Ruedy, K. J., Calhoun, P., Peters, A. L., Pop-Busui, R., Philis-Tsimikas, A., Bao, S., Umpierrez, G., Davis, G., Kruger, D., Bhargava, A., Young, L., McGill, J. B., Aleppo, G., Nguyen, Q. T., Orozco, I., Biggs, W., Lucas, K. J., Polonsky, W. H., Buse, J. B., Price, D., Bergenstal, R. M., MOBILE Study Group, Carlson, A., Chambers, S., Yang, S., Kirkman, M. S., Kass, A., Fraser, R., Cushman, T., Ramos, C., Magar, M., Walker, M., Serafin-Dokhan, S., Salam, M., Hurst, S., Clifton, M. J., Kravarusic, J., Bansal, A., Fulkerson, C., Ang, L., Richardson, C., Mizokami-Stout, K., Reiss, J., Leone, V., Stifel, K., Dailey, G., Change, A., McCallum, J., Garcia, M. I., Davis, D., Lovell, C., Root, C., Toler, F., Wilhelm, L., Eifert, R., Murguia, L., Cota, B., Nguyen, L., Lipski, R., Lawrence, M. K., Fournier, A., Carter, M., Hoover, S., Cohen, N., Mouse, T., Rusnak, J., Campos, T., Njeru, N., Arant, T., Beck, S. E., & Balo, A.
- Affiliations
- Park Nicollet Health Services (US)
- Jaeb Center for Health Research (US)
- University of Southern California (US)
- University of Michigan, Ann Arbor
- Scripps Whittier Diabetes Institute, San Diego, California
- Vanderbilt University Medical Center (US)
- Emory University (US)
- Henry Ford Health (US)
- Iowa Diabetes Research, West Des Moines
- University of North Carolina at Chapel Hill (US)
- Washington University in St. Louis (US)
- Northwestern University (US)
- Las Vegas Endocrinology, Henderson, Nevada
- Carteret General Hospital (US)
- Amarillo Medical Specialists, Amarillo, Texas
- Diabetes & Endocrinology Consultants PC, Morehead City, North Carolina
- Behavioral Diabetes Institute, San Diego, California
- Dexcom (United States) (US)
- HealthPartners (US)
- for the MOBILE Study Group
- Corresponding author
- Beck, Roy W.
- ORCID
- Martens, Thomas
- Beck, Roy W.
- Bailey, Ryan
- Calhoun, Peter
- Peters, Anne L.
- Bao, Shichun
- Umpierrez, Guillermo
- Davis, Georgia
- Kruger, Davida
- Bhargava, Anuj
- Young, Laura
- McGill, Janet B.
- Aleppo, Grazia
- Polonsky, William H.
- Buse, John B.
- Price, David
- Bergenstal, Richard M.
- Carlson, Anders
- Yang, Shoua
- Kirkman, Marian Sue
- Serafin-Dokhan, Sara
- Salam, Maamoun
- Ang, Lynn
- Richardson, Caroline
- Leone, Virginia
- Dailey, George
- Hoover, Stephanie
- Cohen, Nathan
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2021-06-08
- Volume
- 325
- Issue
- 22
- Pages
- 2262
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- PMC
- PMC8173473
- OpenAlex
- W3164064295
- Cited by
- 543
- References
- 23
- Citations by year
- 2026: 116 · 2025: 132 · 2024: 107 · 2023: 98 · 2022: 65 · 2021: 24
- FWCI
- 54.81
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- JAMA (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (UL1TR001422)
- National Institute of Diabetes and Digestive and Kidney Diseases (P30DK092926, P30DK020572, P30DK124723, P30DK111022)
- National Center for Advancing Translational Sciences
- 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, type 2 diabetes, basal insulin, glycemic control, HbA1c, blood glucose meters, time in target glucose range, primary care, intensive insulin therapy, glycemic variability, hypoglycemia, hyperglycemia, HbA1c reduction, HbA1c variability
- MeSH terms
- Glycemic Control, Aged, Blood Glucose, Diabetes Mellitus, Type 2, Female, Glycated Hemoglobin, Humans, Hypoglycemic Agents, Insulin, Male, Middle Aged, Time Factors, Confidence Intervals, Treatment Outcome, Patient Satisfaction, Sample Size, Postprandial Period
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