REPLACE-BG: a randomized trial comparing continuous glucose monitoring with and without routine blood glucose monitoring in adults with well-controlled type 1 diabetes
Open accessAbstract
OBJECTIVE: To determine whether the use of continuous glucose monitoring (CGM) without confirmatory blood glucose monitoring (BGM) measurements is as safe and effective as using CGM adjunctive to BGM in adults with well-controlled type 1 diabetes (T1D). RESEARCH DESIGN AND METHODS: A randomized noninferiority clinical trial was conducted at 14 sites in the T1D Exchange Clinic Network. Participants were ≥18 years of age (mean 44 ± 14 years), had T1D for ≥1 year (mean duration 24 ± 12 years), used an insulin pump, and had an HbA1c ≤9.0% (≤75 mmol/mL) (mean 7.0 ± 0.7% [53 ± 7.7 mmol/mol]); prestudy, 47% were CGM users. Participants were randomly assigned 2:1 to the CGM-only (n = 149) or CGM+BGM (n = 77) group. The primary outcome was time in range (70–180 mg/dL) over the 26-week trial, with a prespecified noninferiority limit of 7.5%. RESULTS: CGM use averaged 6.7 ± 0.5 and 6.8 ± 0.4 days/week in the CGM-only and CGM+BGM groups, respectively, over the 26-week trial. BGM tests per day (including the two required daily for CGM calibration) averaged 2.8 ± 0.9 and 5.4 ± 1.4 in the two groups, respectively (P < 0.001). Mean time in 70–180 mg/dL was 63 ± 13% at both baseline and 26 weeks in the CGM-only group and 65 ± 13% and 65 ± 11% in the CGM+BGM group (adjusted difference 0%; one-sided 95% CI −2%). No severe hypoglycemic events occurred in the CGM-only group, and one occurred in the CGM+BGM group. CONCLUSIONS: Use of CGM without regular use of confirmatory BGM is as safe and effective as using CGM with BGM in adults with well-controlled T1D at low risk for severe hypoglycemia.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
Numerous studies have demonstrated significant clinical benefits of CGM use in people with diabetes regardless of insulin delivery method.
“Numerous studies have demonstrated significant clinical benefits of CGM use in people with diabetes regardless of insulin delivery method (1-15).”
From Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range (2019) · cites this paper as [2]
The Introduction reports that several randomized trials found CGM benefits, including reduced HbA1c and hypoglycemia, particularly in adults with type 1 diabetes. But the Conclusions say this trial included only insulin-pump users; extending its results to people using injections is described as reasonable, not demonstrated. The paper therefore does not establish benefits regardless of insulin delivery method or across all people with diabetes. (LLM, conf=0.86)
Experimental — accuracy not yet measuredThe increasing accuracy of CGM devices and at least one RCT comparing nonadjunctive to adjunctive use has led the FDA to approve most current CGM devices for nonadjunctive use in the U.S.
“However, the increasing accuracy of the devices and at least one RCT comparing nonadjunctive to adjunctive use (191) has led the FDA to approve most current CGM devices for nonadjunctive use in the U.S.”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [191]
Multiple studies report a strong linear relationship between percent time in range (70-180 mg/dL) and A1C in people with T1D and T2D.
“Based on the results of multiple studies reporting a strong linear relationship between percent time in range (TIR) (70–180 mg/dL) and A1C in persons with T1D and T2D”
From American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update. (2022) · cites this paper as [154]
The Results (Glycemic Control and Other Outcomes; page unavailable) report time in range and HbA1c as separate outcomes in adults with type 1 diabetes, but do not report a strong linear relationship between them. Searches for a TIR–HbA1c relationship and correlation found no such analysis in our copy; the study does not include people with type 2 diabetes. (LLM, conf=0.76)
Experimental — accuracy not yet measuredCGM systems are generally nonadjunctive, meaning they do not require BGM confirmation for treatment decisions like insulin dosing or treating hypoglycemia, except in certain clinical situations.
“CGM systems are generally nonadjunctive, meaning they do not require BGM confirmation for treatment decisions like insulin dosing or treating hypoglycemia, except in certain clinical situations (see BLOOD GLUCOSE MONITORING, above) (44-46).”
From 7. Diabetes Technology: Standards of Care in Diabetes—2025 (2025) · cites this paper as [44]
Some non-iCGM-approved CGM devices require additional user verification of blood glucose levels for making treatment decisions, termed adjunctive.
“Some of these non-iCGM-approved CGM devices require additional user verification of blood glucose levels to be performed for making treatment decisions, termed adjunctive.”
From Importance of FDA-integrated continuous glucose monitors to ensure accuracy of continuous glucose monitoring (2025) · cites this paper as [12]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Continuous glucose monitoring and intensive treatment of type 1 diabetes
(2008) · New England Journal of Medicine · doi:10.1056/nejmoa0805017 · Cited by 1,559 · see citing works
Miller, K. M., Foster, N. C., Beck, R. W., Bergenstal, R. M., DuBose, S. N., DiMeglio, L. A., Maahs, D. M., & Tamborlane, W. V. (2015) · Diabetes Care · doi:10.2337/dc15-0078 · Cited by 1,254 · see citing works
Self-citationEffectiveness of Sensor-Augmented Insulin-Pump Therapy in Type 1 Diabetes
Bergenstal, R. M., Tamborlane, W. V., Ahmann, A., Buse, J. B., Dailey, G., Davis, S. N., Joyce, C., Peoples, T., Perkins, B. A., Welsh, J. B., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa1002853 · Cited by 894 · see citing works
Clarke, W. L., Cox, D. J., Gonder-Frederick, L. A., Julian, D., Schlundt, D., & Polonsky, W. (1995) · Diabetes Care · doi:10.2337/diacare.18.4.517 · Cited by 651 · see citing works
Fear of hypoglycemia: quantification, validation, and utilization
Cox, D. J., Irvine, A., Gonder-Frederick, L., Nowacek, G., & Butterfield, J. (1987) · Diabetes Care · doi:10.2337/diacare.10.5.617 · Cited by 579 · see citing works
Pickup, J. C., Freeman, S. C., & Sutton, A. J. (2011) · BMJ · doi:10.1136/bmj.d3805 · Cited by 541 · see citing works
Yeh, H.-C., Brown, T. T., Maruthur, N., Ranasinghe, P., Berger, Z., Suh, Y. D., Wilson, L. M., Haberl, E. B., Brick, J., Bass, E. B., et al. (2012) · Annals of Internal Medicine · doi:10.7326/0003-4819-157-5-201209040-00508 · Cited by 493 · see citing works
Effect of Continuous Glucose Monitoring on Hypoglycemia in Type 1 Diabetes
Battelino, T., Phillip, M., Bratina, N., Nimri, R., Oskarsson, P., & Bolinder, J. (2011) · Diabetes Care · doi:10.2337/dc10-1989 · Cited by 490 · see citing works
The effect of continuous glucose monitoring in well-controlled type 1 diabetes
Juvenile Diabetes Research Foundation Continuous Glucose Monitoring Study Group (2009) · Diabetes Care · doi:10.2337/dc09-0108 · Cited by 399 · see citing works
Peters, A. L., Ahmann, A. J., Battelino, T., Evert, A., Hirsch, I. B., Murad, M. H., Winter, W. E., & Wolpert, H. (2016) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2016-2534 · Cited by 250 · see citing works
Self-citationAssessing Sensor Accuracy for Non-Adjunct Use of Continuous Glucose Monitoring
Kovatchev, B. P., Patek, S. D., Ortiz, E. A., & Breton, M. D. (2015) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2014.0272 · Cited by 234 · see citing works
Fonseca, V. A., Grunberger, G., Anhalt, H., Bailey, T. S., Blevins, T., Garg, S. K., Handelsman, Y., Hirsch, I. B., Orzeck, E. A., Roberts, V. L., et al. (2016) · Endocrine Practice · doi:10.4158/ep161392.cs · Cited by 195 · see citing works
Clinical accuracy of a continuous glucose monitoring system with an advanced algorithm
Bailey, T. S., Chang, A., & Christiansen, M. (2015) · Journal of Diabetes Science and Technology · doi:10.1177/1932296814559746 · Cited by 168 · see citing works
Tamborlane, W. V., Bode, B. W., Buckingham, B. A., Chase, H. P., Clemons, R. D., Fox, L. A., Gilliam, L. K., Hirsch, I. B., Huang, E. S., Kollman, C., et al. (2008) · Cited by 167 · see citing works
Self-citationA Comparative Effectiveness Analysis of Three Continuous Glucose Monitors
Damiano, E. R., McKeon, K., El-Khatib, F. H., Zheng, H., Nathan, D. M., & Russell, S. J. (2014) · Journal of Diabetes Science and Technology · doi:10.1177/1932296814532203 · Cited by 139 · see citing works
Christiansen, M. P., Bailey, T. S., Watkins, E., Liljenquist, D. R., Price, D. A., Nakamura, K., Boock, R. J., & Peyser, T. A. (2013) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2013.0077 · Cited by 136 · see citing works
Gandhi, G. Y., Kovalaske, M. A., Kudva, Y. C., Walsh, K., Elamin, M. B., Beers, M. C., Coyle, C., Goalen, M. J., Murad, M. S., Erwin, P. J., et al. (2011) · Journal of Diabetes Science and Technology · doi:10.1177/193229681100500419 · Cited by 136 · see citing works
Juvenile Diabetes Research Foundation Continuous Glucose Monitoring Study Group (2010) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2010.0015 · Cited by 101 · see citing works
Matuleviciene, V., Joseph, J. I., Andelin, M., Hirsch, I. B., Attvall, S., Pivodic, A., Dahlqvist, S., Klonoff, D. C., Haraldsson, B. S., & Lind, M. (2014) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2014.0238 · Cited by 83 · see citing works
Self-citationZisser, H., Bailey, T. S., Schwartz, S. L., Ratner, R. E., & Wise, J. K. (2009) · Journal of Diabetes Science and Technology · doi:10.1177/193229680900300519 · Cited by 77 · see citing works
Continuous glucose monitoring in patients with type 1 diabetes using insulin injections
Foster, N. C., Miller, K. M., Tamborlane, W. V., Bergenstal, R. M., & Beck, R. W. (2016) · Diabetes Care · doi:10.2337/dc16-0207 · Cited by 76 · see citing works
Self-citationPettus, J., Price, D. A., & Edelman, S. V. (2015) · Endocrine Practice · doi:10.4158/ep14520.or · Cited by 62 · see citing works
Hypoglycemia Reduction and Changes in Hemoglobin A1c in the ASPIRE In-Home Study
Weiss, R., Garg, S. K., Bode, B. W., Bailey, T. S., Ahmann, A., Schultz, K. A., Welsh, J. B., Shin, J., & for the ASPIRE In-Home Study Group (2015) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2014.0306 · Cited by 56 · see citing works
Self-citationSenior, P. A., Bellin, M. D., Alejandro, R., Yankey, J. W., Clarke, W. R., Qidwai, J. C., Schwieger, T., Eggerman, T. L., Robien, M. A., & Rickels, M. R. (2015) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2014.0289 · Cited by 32 · see citing works
Self-citation
Flagged first, then by citations
1 of the 25 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
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 4,032 · see citing works
“Numerous studies have demonstrated significant clinical benefits of CGM use in people with diabetes regardless of insulin delivery metho d (1-15).”
BackgroundSelf-citationContinuous glucose monitoring and metrics for clinical trials: an international consensus statement
Battelino, T., Alexander, C. M., Amiel, S. A., Arreaza-Rubin, G., Beck, R. W., Bergenstal, R. M., Buckingham, B. A., Carroll, J., Ceriello, A., Chow, E., et al. (2023) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(22)00319-9 · Cited by 831 · see citing works
Self-citation6. Glycemic Targets: Standards of Medical Care in Diabetes—2018
American Diabetes Association (2017) · Diabetes Care · doi:10.2337/dc18-s006 · Cited by 764 · see citing works
Glucose management indicator (GMI): a new term for estimating A1C from continuous glucose monitoring
Bergenstal, R. M., Beck, R. W., Close, K. L., Grunberger, G., Sacks, D. B., Kowalski, A., Brown, A. S., Heinemann, L., Aleppo, G., Ryan, D. B., et al. (2018) · Diabetes Care · doi:10.2337/dc18-1581 · Cited by 684 · see citing works
Self-citationBlonde, L., Umpierrez, G. E., Reddy, S. S., McGill, J. B., Berga, S. L., Bush, M., Chandrasekaran, S., DeFronzo, R. A., Einhorn, D., Galindo, R. J., et al. (2022) · Endocrine Practice · doi:10.1016/j.eprac.2022.08.002 · Cited by 507 · see citing works
Self-citationThe relationships between time in range, hyperglycemia metrics, and HbA1c
Beck, R. W., Bergenstal, R. M., Cheng, P., Kollman, C., Carlson, A. L., Johnson, M. L., & Rodbard, D. (2019) · Journal of Diabetes Science and Technology · doi:10.1177/1932296818822496 · Cited by 479 · see citing works
Self-citationCappon, G., Vettoretti, M., Sparacino, G., & Facchinetti, A. (2019) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2019.0121 · Cited by 477 · see citing works
The fallacy of average: how using HbA1c alone to assess glycemic control can be misleading
Beck, R. W., Connor, C. G., Mullen, D. M., Wesley, D. M., & Bergenstal, R. M. (2017) · Diabetes Care · doi:10.2337/dc17-0636 · Cited by 477 · see citing works
Self-citationThe relationship of hemoglobin A1C to time-in-range in patients with diabetes
Vigersky, R. A., & McMahon, C. (2019) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2018.0310 · Cited by 464 · see citing works
Pratley, R. E., Kanapka, L. G., Rickels, M. R., Ahmann, A., Aleppo, G., Beck, R., Bhargava, A., Bode, B. W., Carlson, A., Chaytor, N. S., et al. (2020) · JAMA · doi:10.1001/jama.2020.6928 · Cited by 375 · see citing works
Self-citation7. Diabetes Technology: Standards of Care in Diabetes—2025
American Diabetes Association Professional Practice Committee, ElSayed, N. A., McCoy, R. G., Aleppo, G., Balapattabi, K., Beverly, E. A., Briggs Early, K., Bruemmer, D., Echouffo-Tcheugui, J. B., Ekhlaspour, L., et al. (2025) · Diabetes Care · doi:10.2337/dc25-s007 · Cited by 348 · see citing works
Self-citationSacks, D. B., Arnold, M., Bakris, G. L., Bruns, D. E., Horvath, A. R., Lernmark, Å., Metzger, B. E., Nathan, D. M., & Kirkman, M. S. (2023) · Diabetes Care · doi:10.2337/dci23-0036 · Cited by 351 · see citing works
7. Diabetes Technology: <i>Standards of Care in Diabetes</i> — <i>2023</i>
ElSayed, N. A., Aleppo, G., Aroda, V. R., Bannuru, R. R., Brown, F. M., Bruemmer, D., Collins, B. S., Hilliard, M. E., Isaacs, D., Johnson, E. L., et al. (2023) · Diabetes Care · doi:10.2337/dc23-s007 · Cited by 301 · see citing works
Self-citationKlonoff, D. C., Wang, J., Rodbard, D., Kohn, M. A., Li, C., Liepmann, D., Kerr, D., Ahn, D., Peters, A. L., Umpierrez, G. E., et al. (2023) · Journal of Diabetes Science and Technology · doi:10.1177/19322968221085273 · Cited by 295 · see citing works
Self-citationGrunberger, G., Sherr, J., Allende, M., Blevins, T., Bode, B., Handelsman, Y., Hellman, R., Lajara, R., Roberts, V. L., Rodbard, D., et al. (2021) · Endocrine Practice · doi:10.1016/j.eprac.2021.04.008 · Cited by 288 · see citing works
Self-citation7. Diabetes Technology: <i>Standards of Care in Diabetes—2024</i>
American Diabetes Association Professional Practice Committee, ElSayed, N. A., Aleppo, G., Bannuru, R. R., Bruemmer, D., Collins, B. S., Ekhlaspour, L., Hilliard, M. E., Johnson, E. L., Khunti, K., et al. (2024) · Diabetes Care · doi:10.2337/dc24-s007 · Cited by 281 · see citing works
Self-citationOptimal Sampling Duration for Continuous Glucose Monitoring to Determine Long-Term Glycemic Control
Riddlesworth, T. D., Beck, R. W., Gal, R. L., Connor, C. G., Bergenstal, R. M., Lee, S., & Willi, S. M. (2018) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2017.0455 · Cited by 266 · see citing works
Self-citation7. Diabetes Technology: <i>Standards of Medical Care in Diabetes—2022</i>
American Diabetes Association Professional Practice Committee (2022) · Diabetes Care · doi:10.2337/dc22-s007 · Cited by 358 · see citing works
7. Diabetes Technology: Standards of Medical Care in Diabetes—2020
American Diabetes Association (2019) · Diabetes Care · doi:10.2337/dc20-s007 · Cited by 254 · see citing works
Advances in technology for management of type 1 diabetes
Beck, R. W., Bergenstal, R. M., Laffel, L. M., & Pickup, J. C. (2019) · The Lancet · doi:10.1016/s0140-6736(19)31142-0 · Cited by 242 · see citing works
Self-citationNimri, R., Battelino, T., Laffel, L. M., Slover, R. H., Schatz, D., Weinzimer, S. A., Dovc, K., Danne, T., Phillip, M., NextDREAM Consortium, et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-1045-7 · Cited by 242 · see citing works
7. Diabetes Technology: <i>Standards of Medical Care in Diabetes—2021</i>
American Diabetes Association (2021) · Diabetes Care · doi:10.2337/dc21-s007 · Cited by 202 · see citing works
Measures of Accuracy for Continuous Glucose Monitoring and Blood Glucose Monitoring Devices
Freckmann, G., Pleus, S., Grady, M., Setford, S., & Levy, B. (2019) · Journal of Diabetes Science and Technology · doi:10.1177/1932296818812062 · Cited by 202 · see citing works
Clinical Implications of Real-time and Intermittently Scanned Continuous Glucose Monitoring
Edelman, S. V., Argento, N. B., Pettus, J., & Hirsch, I. B. (2018) · Diabetes Care · doi:10.2337/dc18-1150 · Cited by 203 · see citing works
Self-citationISPAD Clinical Practice Consensus Guidelines 2018: diabetes technologies
Sherr, J. L., Tauschmann, M., Battelino, T., de Bock, M., Forlenza, G., Roman, R., Hood, K. K., & Maahs, D. M. (2018) · Pediatric Diabetes · doi:10.1111/pedi.12731 · Cited by 197 · see citing works
Continuous glucose monitoring: A review of the evidence in type 1 and 2 diabetes mellitus
Lin, R., Brown, F., James, S., Jones, J., & Ekinci, E. (2021) · Diabetic Medicine · doi:10.1111/dme.14528 · Cited by 197 · see citing works
Advances in Biosensors for Continuous Glucose Monitoring Towards Wearables
Johnston, L., Wang, G., Hu, K., Qian, C., & Liu, G. (2021) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2021.733810 · Cited by 189 · see citing works
7. Diabetes Technology: <i>Standards of Medical Care in Diabetes—2019</i>
American Diabetes Association (2019) · Diabetes Care · doi:10.2337/dc19-s007 · Cited by 179 · see citing works
Clinical Use of Continuous Glucose Monitoring in Adults with Type 2 Diabetes
Carlson, A. L., Mullen, D. M., & Bergenstal, R. M. (2017) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2017.0024 · Cited by 181 · see citing works
Self-citationAlva, S., Bailey, T., Brazg, R., Budiman, E. S., Castorino, K., Christiansen, M. P., Forlenza, G., Kipnes, M., Liljenquist, D. R., & Liu, H. (2022) · Journal of Diabetes Science and Technology · doi:10.1177/1932296820958754 · Cited by 164 · see citing works
Technology in the management of type 1 diabetes mellitus — current status and future prospects
Tauschmann, M., & Hovorka, R. (2018) · Nature Reviews Endocrinology · doi:10.1038/s41574-018-0044-y · Cited by 161 · see citing works
Sacks, D. B., Arnold, M. A., Bakris, G. L., Bruns, D. E., Horvath, A. R., Lernmark, Å., Metzger, B. E., Nathan, D. M., & Kirkman, M. S. (2023) · Clinical Chemistry · doi:10.1093/clinchem/hvad080 · Cited by 157 · see citing works
Phillip, M., Bergenstal, R. M., Close, K. L., Danne, T., Garg, S. K., Heinemann, L., Hirsch, I. B., Kovatchev, B. P., Laffel, L. M., Mohan, V., et al. (2021) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2020.0375 · Cited by 135 · see citing works
Self-citationImproving the clinical value and utility of CGM systems: issues and recommendations
Petrie, J. R., Peters, A. L., Bergenstal, R. M., Holl, R. W., Fleming, G. A., & Heinemann, L. (2017) · Diabetologia · doi:10.1007/s00125-017-4463-4 · Cited by 140 · see citing works
Self-citationContinuous glucose monitoring: The achievement of 100 years of innovation in diabetes technology
Galindo, R. J., & Aleppo, G. (2020) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2020.108502 · Cited by 138 · see citing works
Self-citationImproving the Clinical Value and Utility of CGM Systems: Issues and Recommendations
Petrie, J. R., Peters, A. L., Bergenstal, R. M., Holl, R. W., Fleming, G. A., & Heinemann, L. (2017) · Diabetes Care · doi:10.2337/dci17-0043 · Cited by 135 · see citing works
Self-citationAleppo, G., Laffel, L. M., Ahmann, A., Hirsch, I. B., Kruger, D. F., Peters, A. L., Weinstock, R. S., & Harris, D. R. (2017) · Journal of the Endocrine Society · doi:10.1210/js.2017-00388 · Cited by 124 · see citing works
Self-citationContinuous Glucose Monitoring: A Brief Review for Primary Care Practitioners
Ajjan, R., Slattery, D., & Wright, E. E. (2019) · Advances in Therapy · doi:10.1007/s12325-019-0870-x · Cited by 126 · see citing works
Wan, W., Skandari, M. R., Minc, A., Nathan, A. G., Winn, A. N., Zarei, P., O’Grady, M. J., & Huang, E. S. (2018) · Diabetes Care · doi:10.2337/dc17-1821 · Cited by 118 · see citing works
Peralta, F. G., Choudhary, P., Cosson, E., Irace, C., Rami-Merhar, B. M., & Seibold, A. (2022) · Diabetes Obesity and Metabolism · doi:10.1111/dom.14638 · Cited by 116 · see citing works
Vettoretti, M., Facchinetti, A., Sparacino, G., & Cobelli, C. (2017) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2017.2746340 · Cited by 110 · see citing works
Ajjan, R., Cummings, M. H., Jennings, P. L., Leelarathna, L., Rayman, G. A., & Wilmot, E. G. (2018) · Diabetes and Vascular Disease Research · doi:10.1177/1479164118756240 · Cited by 111 · see citing works
Bergenstal, R. M., Layne, J. E., Zisser, H., Gabbay, R. A., Barleen, N. A., Lee, A. A., Majithia, A. R., Parkin, C. G., & Dixon, R. F. (2020) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2020.0396 · Cited by 110 · see citing works
Self-citationJohnson, M. L., Martens, T. W., Criego, A. B., Carlson, A. L., Simonson, G. D., & Bergenstal, R. M. (2019) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2019.0034 · Cited by 104 · see citing works
Self-citationType 2 Diabetes and the Use of Real-Time Continuous Glucose Monitoring
Jackson, M. A., Ahmann, A., & Shah, V. N. (2021) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2021.0007 · Cited by 106 · see citing works
Self-citationISPAD Clinical Practice Consensus Guidelines 2022: Diabetes technologies: Glucose monitoring
Tauschmann, M., Forlenza, G. P., Hood, K. K., Cardona‐Hernandez, R., Giani, E., Hendrieckx, C., DeSalvo, D. J., Laffel, L. M., Saboo, B., Wheeler, B. J., et al. (2022) · Pediatric Diabetes · doi:10.1111/pedi.13451 · Cited by 111 · see citing works
Yoo, J. H., Choi, M. S., Ahn, J., Park, S. W., Kim, Y., Hur, K. Y., Jin, S., Kim, G., & Kim, J. H. (2020) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2019.0499 · Cited by 102 · see citing works
How Can We Realize the Clinical Benefits of Continuous Glucose Monitoring?
Ajjan, R. (2017) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2017.0021 · Cited by 100 · see citing works
Approach to Using Trend Arrows in the FreeStyle Libre Flash Glucose Monitoring Systems in Adults
Kudva, Y. C., Ahmann, A., Bergenstal, R. M., Gavin, J. R., Kruger, D. F., Midyett, L. K., Miller, E. M., & Harris, D. R. (2018) · Journal of the Endocrine Society · doi:10.1210/js.2018-00294 · Cited by 99 · see citing works
Self-citationHbA1c and Glucose Management Indicator Discordance: A Real-World Analysis
Perlman, J. E., Gooley, T., Mcnulty, B., Meyers, J., & Hirsch, I. (2020) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2020.0501 · Cited by 80 · see citing works
Self-citationTime in Range from Continuous Glucose Monitoring: A Novel Metric for Glycemic Control
Yoo, J. H., & Kim, J. H. (2020) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2020.0257 · Cited by 95 · see citing works
Clinical Use of Continuous Glucose Monitoring in Adults with Type 1 Diabetes
Slattery, D., & Choudhary, P. (2017) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2017.0051 · Cited by 87 · see citing works
Yoo, J. H., & Kim, J. H. (2023) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2022.0271 · Cited by 93 · see citing works
Aktürk, H. K., Agarwal, S., Hoffecker, L., & Shah, V. N. (2021) · Diabetes Care · doi:10.2337/dc20-3063 · Cited by 81 · see citing works
Self-citationKanbour, S., Jones, M., Abusamaan, M. S., NASS, C. M., Everett, E. M., Wolf, R. M., Sidhaye, A. R., & Mathioudakis, N. N. (2022) · Diabetes Care · doi:10.2337/dc22-1055 · Cited by 84 · see citing works
Jaloli, M., & Cescon, M. (2022) · Journal of Diabetes Science and Technology · doi:10.1177/19322968221092785 · Cited by 85 · see citing works
Lin, Y. K., Fisher, S. J., & Pop‐Busui, R. (2020) · Journal of Diabetes Investigation · doi:10.1111/jdi.13290 · Cited by 82 · see citing works
Self-citationChampakanath, A., Akturk, H. K., Alonso, G. T., Snell-Bergeon, J. K., & Shah, V. N. (2022) · Diabetes Care · doi:10.2337/dc21-2004 · Cited by 76 · see citing works
Self-citationLing, J., Ng, J. K., Chan, J. C. N., & Chow, E. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.869899 · Cited by 80 · see citing works
Clinical Opportunities for Continuous Biosensing and Closed-Loop Therapies
Li, J., Liang, J., Laken, S. J., Langer, R., & Traverso, G. (2020) · Trends in Chemistry · doi:10.1016/j.trechm.2020.02.009 · Cited by 73 · see citing works
Bruttomesso, D., Laviola, L., Avogaro, A., Bonora, E., Prato, S. D., Frontoni, S., Orsi, E., Rabbone, I., Sesti, G., & Purrello, F. (2019) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2019.01.018 · Cited by 74 · see citing works
Reddy, N., Verma, N., & Dungan, K. M. (2020) · MDText.com, Inc. eBooks · Cited by 68 · see citing works
Real-World Evidence and Glycemic Improvement Using Dexcom G6 Features
Aktürk, H. K., Dowd, R., Shankar, K., & Derdzinski, M. (2021) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2020.0654 · Cited by 67 · see citing works
Expanding the Role of Continuous Glucose Monitoring in Modern Diabetes Care Beyond Type 1 Disease
Klupa, T., Czupryniak, L., Dzida, G. J., Fichna, P., Jarosz-Chobot, P. A., Gumprecht, J., Myśliwiec, M., Szadkowska, A., Bomba-Opon, D. A., Czajkowski, K., et al. (2023) · Diabetes Therapy · doi:10.1007/s13300-023-01431-3 · Cited by 65 · see citing works
Mulinacci, G., Alonso, G. T., Snell-Bergeon, J. K., & Shah, V. N. (2019) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2018.0257 · Cited by 66 · see citing works
Self-citationTime in range centered diabetes care
Dovč, K., & Battelino, T. (2021) · Clinical Pediatric Endocrinology · doi:10.1297/cpe.30.1 · Cited by 64 · see citing works
Aleppo, G., & Webb, K. M. (2018) · Journal of Diabetes Science and Technology · doi:10.1177/1932296818813581 · Cited by 54 · see citing works
Self-citationFreckmann, G., Link, M., Pleus, S., Westhoff, A., Kamecke, U., & Haug, C. (2018) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2018.0105 · Cited by 64 · see citing works
Selecting the Appropriate Continuous Glucose Monitoring System – a Practical Approach
Adolfsson, P., Parkin, C. G., Thomas, A., & Krinelke, L. (2018) · touchREVIEWS in Endocrinology · doi:10.17925/ee.2018.14.1.24 · Cited by 64 · see citing works
Associations between HbA1c and continuous glucose monitoring‐derived glycaemic variables
Hirsch, I. B., Welsh, J. B., Calhoun, P. M., Puhr, S., Walker, T. C., & Price, D. A. (2019) · Diabetic Medicine · doi:10.1111/dme.14065 · Cited by 63 · see citing works
Self-citationThe Glucose Management Indicator: Time to Change Course?
Selvin, E. (2024) · Diabetes Care · doi:10.2337/dci23-0086 · Cited by 64 · see citing works
Khokhar, P. B., Gravino, C., & Palomba, F. (2024) · Artif. Intell. Medicine · doi:10.1016/j.artmed.2025.103132 · Cited by 63 · see citing works
Glucose Transformer: Forecasting Glucose Level and Events of Hyperglycemia and Hypoglycemia
Lee, S.-M., Kim, D.-Y., & Woo, J. (2023) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2023.3236822 · Cited by 58 · see citing works
Improving patient self-care using diabetes technologies
Alcántara-Aragón, V. (2019) · Therapeutic Advances in Endocrinology and Metabolism · doi:10.1177/2042018818824215 · Cited by 53 · see citing works
Wilmot, E. G., Lumb, A. N., Hammond, P. J., Murphy, H. R., SCOTT, E. M., Gibb, F. W., Platts, J. K., & Choudhary, P. (2020) · Diabetic Medicine · doi:10.1111/dme.14433 · Cited by 53 · see citing works
Karakus, K. E., Akturk, H. K., Alonso, G. T., Snell-Bergeon, J. K., & Shah, V. N. (2023) · Diabetes Care · doi:10.2337/dc23-0495 · Cited by 52 · see citing works
Self-citationTechnology Integration: The Role of the Diabetes Care and Education Specialist in Practice
Isaacs, D. M., Cox, C. E., Schwab, K., Oser, T. K., RINKER, J. K., Mason, M. J., Greenwood, D. A., & Albanese-O’Neill, A. (2020) · The Science of Diabetes Self-Management and Care · doi:10.1177/0145721720935123 · Cited by 54 · see citing works
Monitoring of Pediatric Type 1 Diabetes
Marks, B. E., & Wolfsdorf, J. I. (2020) · Frontiers in Endocrinology · doi:10.3389/fendo.2020.00128 · Cited by 55 · see citing works
Eichenlaub, M., Pleus, S., Rothenbühler, M., Bailey, T. S., Bally, L., Brazg, R., Bruttomesso, D., Diem, P., Boija, E. E., Fokkert, M. J., et al. (2024) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2023.0465 · Cited by 51 · see citing works
The History, Evolution and Future of Continuous Glucose Monitoring (CGM)
Bender, C., Vestergaard, P., & Cichosz, S. L. (2025) · Diabetology · doi:10.3390/diabetology6030017 · Cited by 43 · see citing works
Aleppo, G., & Webb, K. M. (2018) · Endocrine Practice · doi:10.4158/ep-2018-0097 · Cited by 45 · see citing works
Self-citationRodbard, D. (2022) · Diabetes Obesity and Metabolism · doi:10.1111/dom.14906 · Cited by 44 · see citing works
Diabetes Technology Use in Adults with Type 1 and Type 2 Diabetes
Kravarusic, J., & Aleppo, G. (2019) · Endocrinology and Metabolism Clinics of North America · doi:10.1016/j.ecl.2019.10.006 · Cited by 43 · see citing works
Self-citationHerrero, P., Alalitei, A., Reddy, M., Georgiou, P., & Oliver, N. S. (2020) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2020.0387 · Cited by 44 · see citing works
Continuous Glucose Monitoring for Prediabetes: What Are the Best Metrics?
Zahalka, S. J., Galindo, R. J., Shah, V. N., & Wang, C. C. L. (2024) · Journal of Diabetes Science and Technology · doi:10.1177/19322968241242487 · Cited by 45 · see citing works
Self-citationCichosz, S. L., Jensen, M. H., & Olesen, S. S. (2024) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2023.0532 · Cited by 42 · see citing works
Role of continuous glucose monitoring in the management of glycogen storage disorders
Herbert, M., Pendyal, S., Rairikar, M. V., Halaby, C. A., Benjamin, R. W., & Kishnani, P. S. (2018) · Journal of Inherited Metabolic Disease · doi:10.1007/s10545-018-0200-5 · Cited by 42 · see citing works
Peeks, F., Hoogeveen, I. J., Feldbrugge, R. L., Burghard, R., de Boer, F., Fokkert‐Wilts, M. J., van der Klauw, M. M., Oosterveer, M. H., & Derks, T. G. J. (2021) · Journal of Inherited Metabolic Disease · doi:10.1002/jimd.12383 · Cited by 42 · see citing works
Montaser, E., Fabris, C., & Kovatchev, B. P. (2022) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2022.0104 · Cited by 42 · see citing works
Emerging Diabetes Technologies: Continuous Glucose Monitors/Artificial Pancreases
ALMURASHI, A. M., Rodriguez, E., & Garg, S. K. (2023) · Journal of the Indian Institute of Science · doi:10.1007/s41745-022-00348-3 · Cited by 48 · see citing works
Cichosz, S. L., Jensen, M. H., & Hejlesen, O. K. (2021) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2021.104472 · Cited by 41 · see citing works
Avari, P., Uduku, C., George, D., Herrero, P., Reddy, M., & Oliver, N. (2020) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2019.0276 · Cited by 40 · see citing works
Choudhary, P., Bellido, V., Graner, M., Altpeter, B., Cicchetti, A., Durand‐Zaleski, I., & Kristensen, F. B. (2021) · Diabetes Therapy · doi:10.1007/s13300-021-01132-9 · Cited by 43 · see citing works
Prabhu Navis, J., Leelarathna, L., Mubita, W., Urwin, A., Rutter, M. K., Schofield, J., & Thabit, H. (2021) · Acta Diabetologica · doi:10.1007/s00592-020-01614-5 · Cited by 39 · see citing works
Friedman, J. G., Cardona, Z., Szmuilowicz, E. D., & Aleppo, G. (2023) · Pharmacogenomics and Personalized Medicine · doi:10.2147/pgpm.s374663 · Cited by 42 · see citing works
Self-citationNew and Emerging Technologies in Type 1 Diabetes
Sherwood, J. S., Russell, S. J., & Putman, M. S. (2020) · Endocrinology and Metabolism Clinics of North America · doi:10.1016/j.ecl.2020.07.006 · Cited by 40 · see citing works
Penalty weighted glucose prediction models could lead to better clinically usage
Cichosz, S. L., Kronborg, T., Jensen, M. H., & Hejlesen, O. K. (2021) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2021.104865 · Cited by 37 · see citing works
Layne, J. E., Jepson, L. H., Carite, A. M., Parkin, C. G., & Bergenstal, R. M. (2024) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2024.0197 · Cited by 37 · see citing works
Self-citationIdentifying the deficiencies of currently available <scp>CGM</scp> to improve uptake and benefit
Barnard‐Kelly, K. D., Martínez‐Brocca, M. A., Glatzer, T., & Oliver, N. (2024) · Diabetic Medicine · doi:10.1111/dme.15338 · Cited by 37 · see citing works
Klonoff, D. C., Gabbay, M., Moon, S. J., & Wilmot, E. G. (2025) · Journal of Diabetes Science and Technology · doi:10.1177/19322968241250357 · Cited by 36 · see citing works
- Authors
- Aleppo, G., Ruedy, K. J., Riddlesworth, T. D., Kruger, D. F., Peters, A. L., Hirsch, I., Bergenstal, R. M., Toschi, E., Ahmann, A. J., Shah, V. N., Rickels, M. R., Bode, B. W., Philis-Tsimikas, A., Pop-Busui, R., Rodriguez, H., Eyth, E., Bhargava, A., Kollman, C., Beck, R. W., & for the REPLACE-BG Study Group
- Affiliations
- Northwestern University (US)
- Jaeb Center for Health Research (US)
- Henry Ford Health (US)
- University of Southern California (US)
- University of Washington (US)
- Park Nicollet Health Services (US)
- Joslin Diabetes Center (US)
- Oregon Health & Science University (US)
- Barbara Davis Center for Childhood Diabetes, Aurora, CO
- University of Pennsylvania (US)
- Atlanta Diabetes Associates (US)
- Scripps Whittier Diabetes Institute, La Jolla, CA
- University of Michigan, Ann Arbor, MI
- University of South Florida (US)
- Iowa Diabetes and Endocrinology Research Center (US)
- Corresponding author
- Riddlesworth, Tonya D.
- ORCID
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2017-02-16
- Volume
- 40
- Issue
- 4
- Pages
- 538-545
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- PMC
- PMC5864100
- OpenAlex
- W2589083807
- Semantic Scholar
- 90d778291a6be773ec0116f890b79ecf1b9a36bb
- Cited by
- 329
- References
- 25
- Citations by year
- 2026: 30 · 2025: 27 · 2024: 38 · 2023: 43 · 2022: 37 · 2021: 36 · 2020: 39 · 2019: 27 · 2018: 31 · 2017: 19 · 2016: 1
- FWCI
- 25.06
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Diabetes Care (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- Leona M. and Harry B. Helmsley Charitable Trust
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Keywords
- continuous glucose monitoring, type 1 diabetes, blood glucose monitoring, time in range, insulin pump therapy, hypoglycemia, glycemic control, non-inferiority, adults
- MeSH terms
- Adult, Aged, Blood Glucose, Diabetes Mellitus, Type 1, Female, Glycated Hemoglobin, Humans, Insulin Infusion Systems, Male, Middle Aged, Socioeconomic Factors, Blood Glucose Self-Monitoring, Young Adult
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