The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
Effects of Continuous Glucose Monitoring on Metrics of Glycemic Control in Diabetes: A Systematic Review With Meta-analysis of Randomized Controlled Trials
Abstract
Background Continuous glucose monitoring (CGM) provides important information to aid in achieving glycemic targets in people with diabetes. Purpose We performed a meta-analysis of randomized controlled trials (RCTs) comparing CGM with usual care for parameters of glycemic control in both type 1 and type 2 diabetes. Data sources Many electronic databases were searched for articles published from inception until 30 June 2019. Study selection We selected RCTs that assessed both changes in HbA 1c and time in target range (TIR), together with time below range (TBR), time above range (TAR), and glucose variability expressed as coefficient of variation (CV). Data extraction Data were extracted from each trial by two investigators. Data synthesis All results were analyzed by a random effects model to calculate the weighted mean difference (WMD) with the 95% CI. We identified 15 RCTs, lasting 12-36 weeks and involving 2,461 patients. Compared with the usual care (overall data), CGM was associated with modest reduction in HbA 1c (WMD -0.17%, 95% CI -0.29 to -0.06, I 2 = 96.2%), increase in TIR (WMD 70.74 min, 95% CI 46.73-94.76, I 2 = 66.3%), and lower TAR, TBR, and CV, with heterogeneity between studies. The increase in TIR was significant and robust independently of diabetes type, method of insulin delivery, and reason for CGM use. In preplanned subgroup analyses, real-time CGM led to the higher improvement in mean HbA 1c (WMD -0.23%, 95% CI -0.36 to -0.10, P P Limitations Heterogene…
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“The glycemic management of T1DM has increasingly focused beyond HbA1c alone to include metrics such as TIR, hypoglycemia exposure, and glycemic variability, which reflect day-to-day glucose control and its impact on patients' lives.”
From Effectiveness of continuous glucose monitoring systems on glycemic control in adults with type 1 diabetes: A systematic review and meta-analysis (2025) · cites this paper as [42]
In the citing paper
“Similar results have been found in trials comparing intermittently scanned (flash) monitoring with capillary blood glucose monitoring.18,19”
From Blood glucose monitoring devices: current considerations (2023) · cites this paper as [18]
In the citing paper
“In pivotal trials, glycated haemoglobin concentrations typically decreased by 0.4–0.6%, the time in target range (3.9–10 mmol/L) increased by 60–100 minutes/day, and the time below target range decreased by 10–45 minutes/day.18”
From Blood glucose monitoring devices: current considerations (2023) · cites this paper as [18]
Citations
Cites
Bias in meta-analysis detected by a simple, graphical test
Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997) · BMJ · doi:10.1136/bmj.315.7109.629 · Cited by 56,722
Liberati, A., Altman, D. G., Tetzlaff, J., Mulrow, C., Gøtzsche, P. C., Ioannidis, J. P. A., Clarke, M., Devereaux, P. J., Kleijnen, J., & Moher, D. (2009) · PLoS Medicine · doi:10.1371/journal.pmed.1000100 · Cited by 28,164
(1993) · New England Journal of Medicine · doi:10.1056/nejm199309303291401 · Cited by 24,667
Cochrane Handbook for Systematic Reviews of Interventions
(2019) · doi:10.1002/9781119536604 · Cited by 14,828
Duval, S., & Tweedie, R. (2000) · Biometrics · doi:10.1111/j.0006-341x.2000.00455.x · Cited by 14,099
Wan, X., Wang, W., Liu, J., & Tong, T. (2014) · BMC Medical Research Methodology · doi:10.1186/1471-2288-14-135 · Cited by 11,735
Liberati, A., Altman, D. G., Tetzlaff, J., Mulrow, C., Gøtzsche, P. C., Ioannidis, J. P. A., Clarke, M., Devereaux, P. J., Kleijnen, J., & Moher, D. (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-151-4-200908180-00136 · Cited by 10,349
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 · cited 2×
“use in clinical practice to help physicians better define the glycemic status of persons with diabetes (36).”
BackgroundInternational 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
Flagged first, then by citations
Cited by
Sorted by citations
Items 201–300 of 363
Lee, J. Y.-C., Arcos, D., Chan, D., Karabedian, C., & Mayorga, J. (2025) · Pharmacy · doi:10.3390/pharmacy13030078 · Cited by 3
Virtual Health in Primary Care and Hospital Medicine
Perlman, M. H., Sunkara, P., Lippert, J. D., & Lippert, W. C. (2025) · Medical Clinics of North America · doi:10.1016/j.mcna.2025.06.002 · Cited by 4
Clarke, M. (2021) · IntechOpen eBooks · doi:10.5772/intechopen.101183 · Cited by 3
Madsen, T. V., Cooper, J. G., Carlsen, S., Løvaas, K. F., Rekdal, M., Igland, J., Sandberg, S., Ueland, G. Å., Iversen, M. M., & Sølvik, U. Ø. (2023) · BMJ Open Quality · doi:10.1136/bmjoq-2022-002099 · Cited by 3
Les médicaments anti-diabétiques : ce que le médecin anesthésiste réanimateur doit savoir
Joubert, M. (2023) · Anesthésie & Réanimation · doi:10.1016/j.anrea.2023.04.001 · Cited by 3
Bhattacharyya, S., Muchhala, S., & Jhaveri, K. S. (2023) · Journal of Advances in Medical and Pharmaceutical Sciences · doi:10.9734/jamps/2023/v25i6621 · Cited by 3
Pros and cons of continous glucose monitoring
Ciechański, M., Witkowska, E., Ostańska, A., Szafran, A., Wiśniewska, K., Piasek, L., Godek, G., Więcław, K., Stańko, K., & Terelak, W. (2023) · Journal of Medical Science · doi:10.20883/medical.e873 · Cited by 4
Šantová, A., Neuman, V., Plachý, L., Amaratunga, S. A., Pavlı́ková, M., Romanová, M., Konečná, P., Neumann, D., Kocourková, K., Strnadel, J., et al. (2025) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2024.0472 · Cited by 3
James, S. G., Armstrong, M. E. G., Abdallah, Z. S., Emerson, H., & O’Kane, A. A. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713247 · Cited by 3
Zaitoon, H., Khalil, H., Cohen‐Sela, E., Eyal, O., Interator, H., Oren, A., Laurian, I., Dorfman, A., Chorna, E., Lebenthal, Y., et al. (2025) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.70047 · Cited by 3
Becerra, L. A., Mendez, B., Khan, F. A., Lioutas, V., Novák, P., Mantzoros, C. S., Ngo, L. H., & Novak, V. (2022) · PubMed · Cited by 3
Mayberry, L. S., Nelson, L. A., Bergner, E. M., Raymond, J. K., Tanenbaum, M. L., Jaser, S. S., Wiebe, D. J., Allen, N. A., Berg, C. A., Naranjo, D. M., et al. (2024) · Journal of Diabetes Science and Technology · doi:10.1177/19322968241268560 · Cited by 3
Inoue, S., Tsuruda, S., Tsuruta, A., Kishikawa, M., Yamazaki, K., Ibaraki, K., Yamashiro, Y., & Koga, M. (2022) · Clinica Chimica Acta · doi:10.1016/j.cca.2022.10.015 · Cited by 2
Marbán-Castro, E., Muhwava, L. S., Kamau, Y., Safary, E., Rheeder, P., Karsas, M., Kemp, T., Freitas, J., Carrihill, M., Dave, J. A., et al. (2024) · Trials · doi:10.1186/s13063-024-08132-7 · Cited by 2
Real‐World Accuracy of a Continuous Glucose Monitoring System after Radiologic Exposure
TELLEZ, S. E., Hornung, L. N., Smith, E., Trout, A. T., Brady, S. L., LOWE, C. M. O., Courter, J. D., Abu‐El‐Haija, M. A., & Elder, D. A. (2024) · Pediatric Diabetes · doi:10.1155/2024/2210509 · Cited by 4
Šimunović, M., Kumrić, M., Rušić, D., Šimunović, M. P., & Božić, J. (2024) · Diagnostics · doi:10.3390/diagnostics14242801 · Cited by 3
Allaire, J. C., Dennis, C., Wright, E. E., Edelman, S. V., & Masturzo, A. (2025) · Clinical Diabetes · doi:10.2337/cd24-0108 · Cited by 2
Calliari, L. E., Sepúlveda, Á. C., Coronel-Restrepo, N., Kabakian, L., Lamounier, R. N., Picasso, E., PROIETTI, A. E., Rincón, A. R., & Yepez-Rodríguez, A. E. (2025) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-025-01702-y · Cited by 2
Aziz, Q.-U.-A., Batra, K., Fatima, S., Splinter, J., Champion, A. L., Kumar, A. M. V., & Izuora, K. E. (2025) · Endocrine Practice · doi:10.1016/j.eprac.2025.04.022 · Cited by 4
A case report of continuous glucose monitoring for a radiographer working in a 1.5T MR Linac
Dobby, B., Nelder, C., Tallon, J., McDaid, L., van Herk, M., Daly, M., & Eccles, C. L. (2025) · Journal of medical imaging and radiation sciences · doi:10.1016/j.jmir.2025.102063 · Cited by 2
Kinny, F., Läer, S., & Obarčanin, E. (2025) · PLOS Digital Health · doi:10.1371/journal.pdig.0001087 · Cited by 2
Injury to tissue caused by device penetration of the skin triggers formation of extracellular traps
Wood, K. A., Cunegundes, P. S., de Souza, J. G., Cavataio, J. P., Kakunje, T., Kreutzer, D. L., & Klueh, U. (2025) · Communications Biology · doi:10.1038/s42003-025-09062-z · Cited by 2
Hussain, M. A., Kumar, H. A., & Lingaiah, M. (2025) · Metabolism Open · doi:10.1016/j.metop.2025.100427 · Cited by 2
Glucose Predictions Improve Glycemic Control: A Digital Twin Evaluation
Herrero, P., Andorrà, M., Breton, M. D., Peak, A., Koehler, M., Klopfenstein, Y., Leppäaho, E., Zanon, M., Ringemann, C., Lustenberger, P., et al. (2026) · Diabetes Technology & Therapeutics · doi:10.1177/15209156261432144 · Cited by 3
A Review on Continuous Glucose Monitoring in Diabetes management
Fathima, J., Anudeepa, J., Muralidharan, P., Devanadhan, D., Bakkiyaselvan, V., & Balaji, P. (2024) · International Conference on Science, Engineering and Technology Practices for Sustainable Development (ICSETPSD) · doi:10.4108/eai.17-11-2023.2342847 · Cited by 2
Brož, J., Urbanová, J., Nováková, M., Benešová, K., Jarkovský, J., Dušek, L., Foltán, D., Marec, M., Rozsíval, L., Žďarská, D. J., et al. (2024) · Vnitřní lékařství · doi:10.36290/vnl.2024.027 · Cited by 2
Measures of nutrition status and health for weight‐inclusive patient care: A narrative review
Mauldin, K., Pignotti, G. A. P., & Gieng, J. (2024) · Nutrition in Clinical Practice · doi:10.1002/ncp.11158 · Cited by 4
Gómez, P. R. D. V., Sánchez, E. M., Vilches‐Arenas, Á., García, R. R., Ramírez, M. D. L. C., Umpierrez, G. E., & Martínez‐Brocca, M. A. (2024) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2024.0201 · Cited by 2
Ortiz-Zúñiga, Á., Amigó, J., Sánchez, M. D. F. G., Abad, M., Simó, R., Hernández, C., & Simó‐Servat, O. (2024) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2024.111786 · Cited by 2
Nakazawa, T., Morishita, K., Ienaka, A., Fujii, T., Ito, M. A., & Matsushita, F. (2024) · Journal of Biomedical Optics · doi:10.1117/1.jbo.29.10.107001 · Cited by 2
The utility of personal wearable data in long COVID and personalized patient care
Enichen, E. J., Heydari, K., Wang, S., Nickel, G., & Kvedar, J. C. (2024) · npj Digital Medicine · doi:10.1038/s41746-024-01341-z · Cited by 2
Saravana, P., Lau, M., & Dashti, H. S. (2024) · European Journal of Clinical Nutrition · doi:10.1038/s41430-024-01548-z · Cited by 2
Payne, E., Vieira, R., & de Roos, B. (2024) · Proceedings of The Nutrition Society · doi:10.1017/s0029665124007602 · Cited by 2
Type 1 diabetes in children: adulthood ahead
Лаптев, Д. Н. (2025) · Diabetes Mellitus · doi:10.14341/dm13252 · Cited by 2
A Review of Machine Learning Algorithms in Diabetes Management
Gayaki, U., Daronde, S. B., Tale, A., & Barhate, A. (2025) · International Conference on Sentiment Analysis and Deep Learning (ICSADL) · doi:10.1109/icsadl65848.2025.10933462 · Cited by 2
AGP Reports for Glucose and Insulin Devices Qualitative Study: What Patients and Clinicians Want
Mullen, D. M., Bergenstal, R. M., Johnson, M. L., Cengiz, E., Criego, A. B., Deeb, L. C., Goland, R., Rudolph, J., Arnold, K. C., Kruger, D. F., et al. (2025) · The Science of Diabetes Self-Management and Care · doi:10.1177/26350106251337486 · Cited by 2
Maiorino, M. I., Martino, N. D., Angelino, S., Maio, A., Caruso, P., Petrizzo, M., Scappaticcio, L., Longo, M., Forestiere, D., Porcellini, C., et al. (2025) · Endocrine · doi:10.1007/s12020-025-04405-6 · Cited by 3
Self-citationUse of Flash Glucose Monitoring in Patients on Intensive Insulin Treatment
Moon, J. S. (2020) · Journal of Korean Diabetes · doi:10.4093/jkd.2020.21.4.184 · Cited by 2
Advances in Pharmacotherapeutics, Metabolic Surgery, and Technology for Diabetes
Guerron, A. D., Davis, G. M., & Pasquel, F. J. (2021) · Endocrinology and Metabolism Clinics of North America · doi:10.1016/j.ecl.2021.05.009 · Cited by 2
Olson, D. E. (2021) · Annals of Internal Medicine · doi:10.7326/acpj202110190-119 · Cited by 2
Fasina, I., Agyei, O., Kim, J., Montgomery, E., Powers, S., & Plyler, D. (2021) · INNOVATIONS in pharmacy · doi:10.24926/iip.v12i4.3997 · Cited by 1
Zafra‐Tanaka, J. H., Brañez‐Condorena, A., Soriano‐Moreno, D. R., & Taype-Rondán, Á. (2020) · Journal of Diabetes Science and Technology · doi:10.1177/1932296820952065 · Cited by 2
Diabetic retinopathy screening and treatment
Nissen, T. P. H. (2023) · VBN Forskningsportal (Aalborg Universitet) · doi:10.54337/aau588589522 · Cited by 2
Ito, K., Satoh, S., Kondo, Y., Tamura, H., Hasebe, M., & Terauchi, Y. (2022) · Diabetology International · doi:10.1007/s13340-022-00592-z · Cited by 1
Diabetic ketoacidosis due to a sensor defect of FreeStyle Libre: A case report
Kogai, T., Sato, J., Hirakata, M., Iwamoto, T., Nakajima, K., Goto, H., Nishida, Y., & Watada, H. (2023) · Journal of Diabetes Investigation · doi:10.1111/jdi.14065 · Cited by 1
Lima, R. A. D., Fernandes, D. R., Garcia, R. A. C., Carvalho, L. A. D. R., Silveira, R. C. D. C. P., & Teixeira, C. R. D. S. (2023) · Revista Latino-Americana de Enfermagem · doi:10.1590/1518-8345.6655.4089 · Cited by 2
Longo, M., Scappaticcio, L., Signoriello, S., Caruso, P., Maio, A., Botta, G., Arena, S., Cirillo, P., Petrizzo, M., Bellastella, G., et al. (2023) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2023.111044 · Cited by 2
Self-citationAlissa, N., Alhumaidi, S., Alzaid, S., Aldibasi, O. S., Alfaraidi, H., & Almutair, A. (2024) · Pediatric Diabetes · doi:10.1155/2024/5529674 · Cited by 1
Aljawawdeh, H., Dughmosh, R., Almashaqbeh, D., Alazzeh, H., & Aldroubi, A. (2024) · Global Digital Health Knowledge Exchange & Empowerment Conference (gDigiHealth.KEE) · doi:10.1109/gdigihealth.kee62309.2024.10761341 · Cited by 1
Implementation of Diabetic Remote Patient Monitor for Underserved Population
Judson, T., Patel, B., Hernández, A., & Talley, M. H. (2024) · CIN Computers Informatics Nursing · doi:10.1097/cin.0000000000001236 · Cited by 2
Chen, J., Yan, Y., Miao, Z., Zhang, K., Xiao, C., Liang, X., Xu, F., Gou, W., Fu, Y., Zhong, H., et al. (2025) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.70056 · Cited by 1
López-Saldarriaga, C., & Briceño, J. C. (2025) · International Journal of Diabetes in Developing Countries · doi:10.1007/s13410-025-01494-x · Cited by 1
Patel, S. S., Bains, A., Ali, N., & Chawla, P. (2025) · Circular Economy and Sustainability · doi:10.1007/s43615-025-00611-6 · Cited by 2
Kim, Y.-C., Han, K., Kim, S., Um, Y. H., Kim, T., Seo, H., Hong, S., & Jeong, J. (2025) · Clinical Psychopharmacology and Neuroscience · doi:10.9758/cpn.25.1310 · Cited by 2
Smart insulin pen after pancreatectomy: a successful strategy for managing type 3c diabetes
Longo, M., Petrizzo, M., Caruso, P., Maiorino, M. I., & Esposito, K. (2025) · Acta Diabetologica · doi:10.1007/s00592-025-02567-3 · Cited by 1
Self-citationLockee, B., Vandervelden, C. A., Tilden, D. R., Panfil, K., Tallon, E. M., DeWit, E., Noland, K., Williams, D. D., Gill, H. S., Patton, S. R., et al. (2025) · Journal of Diabetes Science and Technology · doi:10.1177/19322968251367776 · Cited by 2
Anne, B., Kauloorkar, B., Kunnuru, S. R., Thomas, G., Divyasri, N., & b., S. G. (2025) · Diabetes Technology and Obesity Medicine · doi:10.1177/29986702251394387 · Cited by 1
Data Imputation for Noisy Time-Series Data in Healthcare
Le, L. P., Nguyen, H., Nguyen, T., Riegler, M., Halvorsen, P., & Nguyen, B. T. (2025) · Lecture notes in computer science · doi:10.1007/978-3-032-09321-9_15 · Cited by 1
“What is it like to live with a CGM?”: A qualitative study on type 1 diabetes patients’ experiences
Kang, J. H., Yang, Y., & Yeom, S. (2025) · BMC Health Services Research · doi:10.1186/s12913-025-13705-6 · Cited by 2
Angelino, S., Maiorino, M. I., Petrizzo, M., Martino, N. D., Caruso, P., Carbone, C., Pontillo, A., Maio, A., Longo, M., Scappaticcio, L., et al. (2025) · Frontiers in Endocrinology · doi:10.3389/fendo.2025.1717249 · Cited by 1
Self-citationHaak, T., Fritsche, A., Füchtenbusch, M., Gehr, B., Gölz, S., Kröger, J., Siegmund, T., Ziegler, R., Droßel, D., Fuchs, S., et al. (2025) · Diabetologie und Stoffwechsel · doi:10.1055/a-2592-7826 · Cited by 1
Cellino, C. A. K., Chen, E.-L., Pawelek, J., Daly, C. J., Jacobs, D. M., & Prescott, G. M. (2026) · Journal of the American Pharmacists Association · doi:10.1016/j.japh.2025.103016 · Cited by 1
Glatzer, T., Peak, A., Leppäaho, E., Lustenberger, P., Herrero, P., Andorrà, M., & van Maren, E. (2026) · Journal of Diabetes Science and Technology · doi:10.1177/19322968251412451 · Cited by 1
Lian, X., Cheng, L. J., Teo, C. J. Y., Tan, J., Lim, H., Shen, L., Chew, H. S. J., Wang, W., & Dalan, R. (2026) · Frontiers in Endocrinology · doi:10.3389/fendo.2025.1761579 · Cited by 1
Longo, M., Maiorino, M. I., Matrone, R., Nuzzo, M. D., Petrizzo, M., Caruso, P., Tomasuolo, M., Caputo, M., Scappaticcio, L., Bellastella, G., et al. (2026) · Endocrine · doi:10.1007/s12020-025-04549-5 · Cited by 1
Self-citationSkroče, K., Zignoli, A., Turner, L. V., Lipman, D. J., Riddell, M. C., & Zisser, H. (2026) · Journal of Diabetes Science and Technology · doi:10.1177/19322968261426376 · Cited by 1
Alabdulkarim, H. A., Al-Shraim, M., Motahari-Nezhad, H., Fgaier, M., Péntek, M., Gulàcsi, L., Aldahash, R., & Zrubka, Z. (2026) · Journal of Diabetes Science and Technology · doi:10.1177/19322968261445111 · Cited by 1
Dagan, A., Yackobovitch‐Gavan, M., Phillip, M., & Nimri, R. (2026) · Diabetes Technology & Therapeutics · doi:10.1177/15209156261459274 · Cited by 1
Villanueva, G. P., Solorzano, W. M., & Everett, E. M. (2026) · Current Diabetes Reports · doi:10.1007/s11892-026-01631-8 · Cited by 2
Belani, J. D. (2026) · Nutrients · doi:10.3390/nu18152578 · Cited by 1
Müller–Godeffroy, E., Mönkemöller, K., Lilienthal, E., Heidtmann, B., Becker, M., Feldhahn, L., Freff, M., Hilgard, D., Krone, B., Papsch, M., et al. (2021) · Diabetologie und Stoffwechsel · doi:10.1055/a-1452-8684 · Cited by 1
Streck, S., McIntire, R., Canale, L., Anderson, J. M., Hartwell, M. L., Torgerson, T., Dunn, K., & Vassar, M. B. (2022) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntac012 · Cited by 2
Interpretación del monitoreo continuo de glucosa: una visión práctica
Coronel-Restrepo, N., Rincón, A. R., Palacio, A., Delgado, M. R., & Botero, J. F. (2023) · Revista Colombiana de Endocrinología Diabetes & Metabolismo · doi:10.53853/encr.10.1.764 · Cited by 1
Kim, M. S., Ryu, J. M., Kang, M., Park, J., Ahn, Y. C., & Kim, Y. S. (2023) · Journal of Health Informatics and Statistics · doi:10.21032/jhis.2023.48.1.36 · Cited by 1
Zhang, L., Pan, C., Yang, X., Jiang, D., & Cao, M. (2023) · Expert Opinion on Drug Safety · doi:10.1080/14740338.2023.2216453 · Cited by 1
Oraibi, O., Somaili, M., Elmakki, E. E., Alqassimi, S., Madkhali, M. A., Mohrag, M., Abusageah, F., Alhazmi, M. K., Alfaifi, S. M., Ageeli, R., et al. (2023) · Endocrine Metabolic & Immune Disorders - Drug Targets · doi:10.2174/0118715303263019231029163336 · Cited by 1
Salasa, W., Seredyński, T., Mądry, W., Mazurkiewicz, A., Kołodziej, M., Męczyńska, J., Saiuk, N., Kozicz, M. A., Wojciechowska, A., & Marcicka, J. (2024) · Journal of Education Health and Sport · doi:10.12775/jehs.2024.67.50885 · Cited by 1
Alzahrani, A. A. H. (2024) · Advances in Human Biology · doi:10.4103/aihb.aihb_47_24 · Cited by 1
Fiedler, M., Muller, N., Kloos, C., Kramer, G., Kellner, C., Schmidt, S., Wolf, G., & Kuniß, N. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13175126 · Cited by 1
Diabetes and Technology in Romania: A Patient’s Perspective
Pop, A. R., Kovács, B., Kovács-Deák, B., Filip, C., & Román, G. (2024) · Cureus · doi:10.7759/cureus.68768 · Cited by 1
Ojaimi, R. E., Cheisson, G., Cosson, E., Ichaï, C., Jacqueminet, S., Catargi, B., Ouattara, A., Tauveron, I., Valensi, P. E., & Benhamou, D. (2024) · Anaesthesia Critical Care & Pain Medicine · doi:10.1016/j.accpm.2024.101468 · Cited by 1
Medina, L. A. C., Brandão, M. G. S. A., Lima, G. A., Zanetti, M. L., Pace, A. E., Serrano‐Gallardo, P., Gutiérrez-Valverde, J. M., de Oliveira, B. S. B., Lima, F. E. T., & Teixeira, C. R. D. S. (2025) · Current Diabetes Reviews · doi:10.2174/0115733998344984241203070203 · Cited by 1
Duan, Y., Ding, L., Gao, Z., Wang, Y., Cao, H., Zhang, H., & Yao, L. (2025) · BMJ Open · doi:10.1136/bmjopen-2024-090664 · Cited by 1
Navrátilová, V., Zadáková, E., Šoupal, J., Škrha, J., Do, Q. D., Radovnická, L., Hašková, A., Prázný, M., & Horová, E. (2025) · Endocrinology Diabetes & Metabolism · doi:10.1002/edm2.70047 · Cited by 1
Achievement of time in range goals among patients with diabetes using continuous glucose monitoring
Azizi, F., Diehl, K., Enser, L., & Heacock, S. (2025) · Journal of the American Pharmacists Association · doi:10.1016/j.japh.2025.102924 · Cited by 1
Adjustment of Insulin Therapy: New Insights from Continuous Glucose Monitoring
Oh, T. J. (2020) · Journal of Korean Diabetes · doi:10.4093/jkd.2020.21.4.191 · Cited by 1
Glycemic control metrics for in silico testing of artificial pancreas systems
Novák, K., Kovács, L., Drexler, D. A., & Eigner, G. (2022) · IEEE International Symposium on Computational Intelligence and Informatics (CINTI) · doi:10.1109/cinti-macro57952.2022.10029513 · Cited by 1
Latest Therapies for Type 1 Diabetes: Exsisting Setup and “Post-Insulin” StandpointsPreprint
Akil, A.-S. A.-S., Al-Maraghi, A., Yassin, E., Al-Malki, K., & Fakhro, K. A. (2020) · Preprints.org · doi:10.20944/preprints202010.0578.v1
Talaiti, M., Liao, X., Abulimiti, N., Zeng, M., & Wang, Y. (2026) · Journal of Diabetes Research · doi:10.1155/jdr/1464982
Ryan, P. M., Zahradnik, M. L., Konnyu, K. J., Rader, T., Halasy, M. P., Shulman, R. M., Ivers, N. M., Hawkes, C. P., & Grimshaw, J. (2021) · HRB Open Research · doi:10.12688/hrbopenres.13223.1
Unterzucker stört Nachtruhe bei bipolarer Störung
Schultze, P., Binder, M. A., Thume, K., & Braus, D. F. (2021) · Der Diabetologe · doi:10.1007/s11428-021-00798-w
Horiuchi, T., Adachi, J., Sekiguchi, Y., & KANAMARU, A. (2021) · Dubai Diabetes and Endocrinology Journal · doi:10.1159/000519438
Typ-1- und Typ-2-Diabetes-Patienten profitieren gleichermaßen von CGM
(2020) · Diabetologie und Stoffwechsel · doi:10.1055/a-1199-9200
Carty, D. (2022) · Wiley eBooks · doi:10.1002/9781119785033.ch10
Rotondi, M. A., Wong, O. C. Y., Riddell, M. C., & Perkins, B. A. (2022) · doi:10.2337/figshare.20173937.v1
Rotondi, M. A., Wong, O. C. Y., Riddell, M. C., & Perkins, B. A. (2022) · doi:10.2337/figshare.20173937
Medical Monitoring of Preexisting DM and GDM
Kintiraki, E., & Goulis, D. G. (2022) · Springer eBooks · doi:10.1007/978-3-030-89243-2_7
Assessment of accuracy and glycemic control of FGM and CGM and impact on mental well-being
Gesslbauer, M., Koehler, G., Baumgärtner, C., & Šajić, J. L. (2022) · Current Directions in Biomedical Engineering · doi:10.1515/cdbme-2022-1002
Utilization of Continuous Glucose Monitors in a Group Medical Visit Setting
Julienne, K. (2022) · International Journal of Diabetes and Clinical Research · doi:10.23937/2377-3634/1410164
Trends in Time in Range–Related Publications and Clinical Trials: A Bibliometric Review
Patel, P. M., Abaniel, R. M., Dogra, N., Lo, C. B., Frazzitta, M. A., & Virdi, N. S. (2023) · doi:10.2337/figshare.22714573.v1
Metadata
- Authors
- Maiorino, M. I., Signoriello, S., Maio, A., Chiodini, P., Bellastella, G., Scappaticcio, L., Longo, M., Giugliano, D., & Esposito, K.
- Affiliations
- University of Campania "Luigi Vanvitelli" (IT)
- Corresponding author
- Maiorino, Maria Ida
- ORCID
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2020-04-13
- Volume
- 43
- Issue
- 5
- Pages
- 1146-1156
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- OpenAlex
- W3017384252
- Cited by
- 364
- References
- 45
- Citations by year
- 2026: 45 · 2025: 76 · 2024: 75 · 2023: 59 · 2022: 53 · 2021: 37 · 2020: 19
- FWCI
- 6.45
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Diabetes Care (publishedVersion)
- PubMed (publishedVersion)
- Archivio Istituzionale della Ricerca - Università degli Studi della Campania "Luigi Vanvitelli" (submittedVersion)
- 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, time in range, time below range, time above range, glycemic variability, coefficient of variation, type 1 diabetes, type 2 diabetes, sensor-augmented pump, flash glucose monitoring, real-time CGM, usual care comparison, insulin delivery method, hypoglycemia, hyperglycemia
- MeSH terms
- Glycemic Control, Blood Glucose, Diabetes Mellitus, Type 1, Diabetes Mellitus, Type 2, Female, Humans, Insulin, Male, Time Factors, Blood Glucose Self-Monitoring, Randomized Controlled Trials as Topic, Databases, Factual, Outcome Assessment, Health Care, Benchmarking
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
