The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Toward Defining the Threshold Between Low and High Glucose Variability in Diabetes
Abstract
OBJECTIVE: To define the threshold for excess glucose variability (GV), one of the main features of dysglycemia in diabetes. RESEARCH DESIGN AND METHODS: A total of 376 persons with diabetes investigated at the University Hospital of Montpellier (Montpellier, France) underwent continuous glucose monitoring. Participants with type 2 diabetes were divided into several groups—groups 1, 2a, 2b, and 3 (n = 82, 28, 65, and 79, respectively)—according to treatment: 1) diet and/or insulin sensitizers alone; 2) oral therapy including an insulinotropic agent, dipeptidyl peptidase 4 inhibitors (group 2a) or sulfonylureas (group 2b); or 3) insulin. Group 4 included 122 persons with type 1 diabetes. Percentage coefficient of variation for glucose (%CV = [(SD of glucose)/(mean glucose)] × 100) and frequencies of hypoglycemia (interstitial glucose <56 mg/dL [3.1 mmol/L]) were computed. RESULTS: Percentages of CV (median [interquartile range]; %) increased significantly (P < 0.0001) from group 1 (18.1 [15.2–23.9]) to group 4 (37.2 [31.0–42.3]). In group 1, the upper limit of %CV, which served as reference for defining excess GV, was 36%. Percentages of patients with %CVs above this threshold in groups 2a, 2b, 3, and 4 were 0, 12.3, 19.0, and 55.7%, respectively. Hypoglycemia was more frequent in group 2b (P < 0.01) and groups 3 and 4 (P < 0.0001) when subjects with a %CV >36% were compared with those with %CV ≤36%. CONCLUSIONS: A %CV of 36% appears to be a suitable threshold to distinguish between stable and unstable glycemia in diabetes because beyond this limit, the frequency of hypoglycemia is significantly increased, especially in insulin-treated subjects.
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
“In a mixed population of people with T2D, the incidence of hypoglycemic events was three to six times greater in patients with a within-day CV of more than 36% compared with a CV less than 36%, irrespective of the type of treatment with oral diabetes drugs or insulin.47”
From Glycemic variability and cardiovascular disease in patients with type 2 diabetes (2021) · cites this paper as [47]
Citations
Cites
Baltosser, W. H., & Zar, J. H. (1996) · Ecology · doi:10.2307/2265725 · Cited by 35,166
(1993) · New England Journal of Medicine · doi:10.1056/nejm199309303291401 · Cited by 24,667
Inflammation, Atherosclerosis, and Coronary Artery Disease
Hansson, G. K. (2005) · New England Journal of Medicine · doi:10.1056/nejmra043430 · Cited by 8,773
10-year follow-up of intensive glucose control in type 2 diabetes
Holman, R. R., Paul, S. K., Bethel, M. A., Matthews, D. R., & Neil, H. A. W. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0806470 · Cited by 7,751
Biostatistical Analysis (2nd ed.).
Breen, T. J., & Zar, J. H. (1986) · Journal of the American Statistical Association · doi:10.2307/2289268 · Cited by 5,792
Drucker, D. J., & Nauck, M. A. (2006) · The Lancet · doi:10.1016/s0140-6736(06)69705-5 · Cited by 3,896
Inzucchi, S. E., Bergenstal, R. M., Buse, J. B., Diamant, M., Ferrannini, E., Nauck, M., Peters, A. L., Tsapas, A., Wender, R., & Matthews, D. R. (2015) · Diabetes Care · doi:10.2337/dc14-2441 · Cited by 3,066
Monnier, L., Mas, E., Ginet, C., Michel, F., Villon, L., Cristol, J.-P., & Colette, C. (2006) · JAMA · doi:10.1001/jama.295.14.1681 · Cited by 2,444
Self-citation
Flagged first, then by citations
Research works printed but not linked: 1
- Midyett, 2016, Assessment of glucose variability by professional flash glucose monitoring across therapy groups for type 2 diabetes, Diabetes, 65, A222
Cited by
Sorted by citations
Items 301–390 of 390
Турчина, С. И., Kosovtsova, G. V., Varodova, O. V., Kalmykov, S., & Kalmykova, Y. (2024) · Physical rehabilitation and recreational health technologies · doi:10.15391/prrht.2024-9(4).08 · Cited by 1
Gölz, S., Mader, J. K., Bilz, S., Kenzler, J., & Danne, T. (2024) · Diabetes Therapy · doi:10.1007/s13300-024-01670-y · Cited by 1
Sebastián‐Valles, F., Martín, J. A. A., Alfonso, J. M., Jiménez‐Díaz, J., Alday, I. H., Navas-Moreno, V., Joya, T. A., García, M., Gómez, G. L. R., Hierro, J. G., et al. (2024) · Endocrinology Diabetes & Metabolism · doi:10.1002/edm2.70020 · Cited by 1
Status of Continuous Glucose Monitoring Technology in Clinical Practice
O’Connor, C., & Aleppo, G. (2019) · doi:10.2337/9781580406932.part1_ch04 · Cited by 1
Topalian, N., Picard, S., Riveline, J., Canha, D., Julla, J., Lablanche, S., Salle, L., Sonnet, E., Berot, A., Gouet, D., et al. (2025) · Diabetes & Metabolism · doi:10.1016/j.diabet.2025.101647 · Cited by 1
Risk factors for corneal nerve fiber loss in Chinese patients with type 2 diabetes mellitus
Huang, L., Chen, X., Xiao, Z., Wu, K., Wang, L., & Liu, L. (2025) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2025.112304 · Cited by 1
Relevancia del monitoreo continuo de glucosa en la práctica clínica: revisión de la evidencia
Gómez, A. M., Carrillo, D. C. H., Tapoada, L., & Toro, M. R. (2018) · Revista Colombiana de Endocrinología Diabetes & Metabolismo · doi:10.53853/encr.5.3.432 · Cited by 1
Real-World Experience With Automated Insulin Pump Technology in Veterans With Type 1 Diabetes
Amole, M. (2021) · Federal Practitioner · doi:10.12788/fp.0156 · Cited by 1
Bock, P. M., Monteiro, R. B., Berlanda, G., Casali, K. R., & Schaan, B. D. (2022) · Archives of Endocrinology and Metabolism · doi:10.20945/2359-3997000000482 · Cited by 1
Comportamento da variabilidade glicêmica em pacientes hospitalizados com Diabetes Mellitus 2
Dalmolin, C., Schott, M., Marquetto, D. F., Golin, A., Stefenon, D. O., Brondani, J. E., Cassol, M. C., & Colpo, E. (2022) · Medicina (Ribeirão Preto) · doi:10.11606/issn.2176-7262.rmrp.2022.193922 · Cited by 1
The Prediction of DiabetesPreprint
Massaro, A. S., Magaletti, N., Cosoli, G., Giardinelli, V. O. M., & Leogrande, A. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4135264 · Cited by 1
Phillips, N. E., Collet, T., & Naef, F. (2022) · medRxiv · doi:10.1101/2022.08.20.22278813 · Cited by 1
Averaged glycaemic variability or by average: More than a simple question of wording
Monnier, L., Colette, C., & Bonnet, F. (2024) · Diabetes & Metabolism · doi:10.1016/j.diabet.2024.101550 · Cited by 1
Self-citationKo, S. (2025) · Endocrinology and Metabolism · doi:10.3803/enm.2025.2403 · Cited by 1
Type 1 Diabetes in the Hospital: What Do We Know About Glucose Control?
Hirsch, I. B. (2017) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2017.0336
Bonaventura, A., & Montecucco, F. (2017) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2017.11.004
Des normes et des cibles chez les patients diabétiques
Bauduceau, B., Azrak, A. E., Rochd, D., & Bordier, L. (2018) · Médecine des Maladies Métaboliques · doi:10.1016/s1957-2557(18)30057-9
Prise en charge du diabète instable : approche humaine ou technologique ?
Benhamou, P. (2018) · Médecine des Maladies Métaboliques · doi:10.1016/s1957-2557(18)30095-6
Crăciun, C.-I., Craciun, A. E., Rusu, A., Bocșan, I. C., Hâncu, N., & Buzoianu, A. D. (2018) · Revista română de medicină de laborator · doi:10.2478/rrlm-2018-0010
Zhou, T. (2019) · UC Research Repository (University of Canterbury) · doi:10.26021/2871
Clinical Studies on Efficacy of Continuous Glucose Monitoring
Cherubini, V. (2020) · Springer eBooks · doi:10.1007/978-3-030-42806-8_4
Uduku, C. N., Reddy, M., & Oliver, N. S. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-816714-4.00007-7
Variabilidad Glucémica como parámetro de control metabólico en pacientes con Diabetes tipo 1
Villalobos, J., Sandoval, G. H., Paz, J. J., Finol, M., & Colina, J. L. (2021) · Redalyc (Universidad Autónoma del Estado de México)
New Trends: Time in Range and the Use of Continuous Glucose Monitoring Devices on Glycemic Control
Souza, K. L. V. D., Rassi, M. M. B., de Sá, D. A. R., Bussuan, R. M., Rodrigues, L. C. D. S., & Arbex, A. K. (2021) · European Journal of Medical and Health Sciences · doi:10.24018/ejmed.2021.3.1.491
Hypoglycaemia in type 2 diabetes treated with pre‐mixed insulin
IDRIS, I. R., Annamalai, N., Aung, T., Binnian, I., Gibb, F. W., Malik, M. I., & Ramtoola, S. (2021) · Diabetic Medicine · doi:10.1111/dme.14684
Vitebskaya, A. V., Shreder, E. V., Владимировна, П. А., & Писарева, Е. А. (2021) · Diabetes Mellitus · doi:10.14341/dm12431
Park, S. H., Yao, J., Whitton, C., Chua, X. H., CHANDRAN, S. R., Gardner, D. S.-L., Meng, K. C., Müller‐Riemenschneider, F., & van Dam, R. M. (2021) · doi:10.2196/preprints.30105
Thérapeutique des désordres glycémiques
(2019) · Elsevier eBooks · doi:10.1016/b978-2-294-75889-8.00007-5
(2019) · Elsevier eBooks · doi:10.1016/b978-2-294-75889-8.00004-x · Cited by 1
Mesures hygiéno-diététiques et états diabétiques
(2019) · Elsevier eBooks · doi:10.1016/b978-2-294-75889-8.00006-3
Monnier, L., & Halimi, S. (2019) · Elsevier eBooks · doi:10.1016/b978-2-294-75889-8.00029-4
Self-citationThe Prediction of DiabetesPreprint
Massaro, A. S., Magaletti, N., Cosoli, G., Giardinelli, V. O. M., & Leogrande, A. (2022) · Research Square · doi:10.21203/rs.3.rs-1753046/v1
The Prediction of DiabetesPreprint
Massaro, A. S., Magaletti, N., Cosoli, G., Giardinelli, V. O. M., & Leogrande, A. (2022) · Preprints.org · doi:10.20944/preprints202206.0202.v1
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
Self-citationIl monitoraggio in continuo della glicemia: stato dell’arte
Irace, C., & Molfetta, S. D. (2022) · il Diabete · doi:10.30682/ildia2204g · Cited by 1
Évolution des cibles glycémiques chez le patient diabétique de type 2 au cours des dernières années
Bordier, L., & Bauduceau, B. (2023) · Médecine des Maladies Métaboliques · doi:10.1016/j.mmm.2022.12.005
Buffardi, I., Pisarro, M., & Conti, F. (2023) · L Endocrinologo · doi:10.1007/s40619-023-01290-x
Pérez-Gualdrón, C. E., Ordoñez, J. S. F., Bernal, N. B., Pacheco, A. F. P., Chaparro, N. J. M., & Cadena, J. D. C. (2023) · Revista Colombiana de Endocrinología Diabetes & Metabolismo · doi:10.53853/encr.10.2.793
Brøsen, J. M. B., Agesen, R. M., Alibegovic, A. C., Andersen, H. U., Beck‐Nielsen, H., Gustenhoff, P., Hansen, T. K., Hedetoft, C., Jensen, T. J., Juhl, C. B., et al. (2023) · Journal of Diabetes Science and Technology · doi:10.1177/19322968231197423
New Technologies for Glucose Monitoring
Danne, T., & Kordonouri, O. (2024) · Wiley eBooks · doi:10.1002/9781119697473.ch32
Перспективи використання безперервного моніторингу рівня глюкози у хворих з інсуліномою
Kondratyshyn, A. R., Fik, M. S., Коваль, А.-М., Naumova, L. V., & Khomitskiy, S. B. (2023) · Endokrynologia · doi:10.31793/1680-1466.2023.28-1.90
Positioning “Time-in-Range” in the Treatment of Diabetes in India
Mohan, V., Unnikrishnan, A. G., Kesavadev, J., & Saboo, B. (2022) · International Journal of Diabetes and Technology · doi:10.4103/ijdt.ijdt_2_22
Anindhita, B., Singal, A. M., Wardhani, W. I., Manikam, N. R. M., & Aditianingsih, D. (2024) · Majalah Anestesia & Critical Care · doi:10.55497/majanestcricar.v42i1.315 · Cited by 1
Les hypoglycémies iatrogènes : impacts immédiats et à long terme
Monnier, L., & Colette, C. (2024) · Médecine des Maladies Métaboliques · doi:10.1016/j.mmm.2024.02.001
Self-citationQuelle place pour la greffe d’îlots à l’ère de la boucle fermée ?
Benhamou, P. (2024) · Médecine des Maladies Métaboliques · doi:10.1016/j.mmm.2024.04.009
Kontinuierliche Gewebe-Glukosemessung (CGM) und ambulantes Glukoseprofil (AGP)
Schäffler, A., & Petry, S. F. (2024) · Springer eBooks · doi:10.1007/978-3-662-68563-1_36
Variabilidad de la glucosa como indicador de mortalidad en pacientes con shock séptico
Nickolas Ponce, G., Delgado, D., & Luis Gonzalez, Z. (2024) · Gaceta Médica de la Junta de Beneficencia de Guayaquil · doi:10.61708/sygj5d47
Identifying Type 1 Diabetes from Daily Continuous Glucose Monitoring profiles Using Machine Learning
Belkacem, I. (2024) · International Conference on Electrical, Computer and Energy Technologies (ICECET) · doi:10.1109/icecet61485.2024.10698385
Coefficient of Variation to Assess the Reproducibility of Meal-Induced Glycemic Responses (Preprint)Preprint
Lubasinski, N., Thabit, H., Nutter, P. W., Petrescu, D., & Haper, S. (2024) · doi:10.2196/preprints.68821
Interpretation of Meters, Pumps, and Continuous Glucose Monitoring Downloads
Weaver, K., & Hirsch, I. B. (2019) · doi:10.2337/9781580406932.part1_ch08
Continuous Tissue Glucose Monitoring (CGM) and Ambulatory Glucose Profile (AGP)
Schäffler, A., & Karrasch, T. (2024) · Springer eBooks · doi:10.1007/978-3-662-70260-4_36
Risco de padrão glicêmico desequilibrado: validade de conteúdo diagnóstica
Gonçalves, L. M., Lopes, R. O. P., Gomes, E. D. S., Silva, T. D. S. E., Cardoso, R. B., & Brandão, M. A. G. (2025) · Revista da Escola de Enfermagem da USP · doi:10.1590/1980-220x-reeusp-2024-0298pt
Risk of imbalanced glycemic pattern: diagnostic content validity
Gonçalves, L. M., Lopes, R. O. P., Gomes, E. D. S., Silva, T. D. S. E., Cardoso, R. B., & Brandão, M. A. G. (2025) · Revista da Escola de Enfermagem da USP · doi:10.1590/1980-220x-reeusp-2024-0298en
Riesgo de patrón glucémico desequilibrado: validez del contenido diagnóstico
Gonçalves, L. M., Lopes, R. O. P., Gomes, E. D. S., Silva, T. D. S. E., Cardoso, R. B., & Brandão, M. A. G. (2025) · Revista da Escola de Enfermagem da USP · doi:10.1590/1980-220x-reeusp-2024-0298es
Monnier, L., Colette, C., Renard, É., & Benhamou, P. (2025) · Médecine des Maladies Métaboliques · doi:10.1016/j.mmm.2025.03.010
Self-citationOhara, M., Yokoyama, H., Seino, H., Fujikawa, T., Kohata, Y., Takahashi, N., Irie, S., Terasaki, M., Mori, Y., Fukui, T., et al. (2025) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-025-01691-y · Cited by 1
Confortin, N., Ceolin, C., Vergadoro, M., Marzio, B. D., Ferra, E., Ambrosio, A., Catalani, F., Gasparini, G., Zanforlini, B. M., Curreri, C., et al. (2026) · Aging Clinical and Experimental Research · doi:10.1007/s40520-026-03475-4
Dimitropoulou, N. M., Eussen, S. J. P. M., Schalkwijk, C. G., & de Galan, B. E. (2025) · Diabetologia · doi:10.1007/s00125-025-06469-5
Lubasinski, N., Thabit, H., Nutter, P. W., Petrescu, D., & Harper, S. (2025) · JMIR Diabetes · doi:10.2196/68821
Propper‐Lewinsohn, T., Shalitin, S., Gillon‐Keren, M., Liberman, A., & Elran‐Barak, R. (2025) · Journal of Pediatric Psychology · doi:10.1093/jpepsy/jsaf070
Lin, C.-C., Li, C.-I., Liu, C.-S., Lin, C.-H., Yang, S.-Y., & Li, T.-C. (2025) · BMC Cardiovascular Disorders · doi:10.1186/s12872-025-05182-w
"Usefulness of continuous interstitial glucose in diabetic patient undergoing hemodialysis
Berchoux, E., Szwarc, I., Bonnet, J., Pissarra, J., Avignon, A., Jugant, S., Quintrec, M. L., & Sultan, A. (2025) · Diabetes & Metabolism · doi:10.1016/j.diabet.2025.101720
Shao, F., Lin, G., Zeng, F., Liu, L., You, J., & Zeng, B. (2025) · BMC Endocrine Disorders · doi:10.1186/s12902-025-02125-6
Kakuto, Y., Ohara, M., Koide, K., Osamura, A., Matsuura, R., Yamagishi, S., & Sekizawa, A. (2025) · Journal of Clinical Medicine · doi:10.3390/jcm14248796
Tehaili, H., Sharifi, S., Ramamoorthy, S., Yildirim, M., Dhillon, P., Mahngar, R., Jabbo, L., Scipione, M. R., Salimnia, H., Tillotson, G., et al. (2025) · Antimicrobial Stewardship & Healthcare Epidemiology · doi:10.1017/ash.2025.10237
Muramatsu, T., Otsuka, M., Yamamuro, D., Yamanouchi, M., Fujisaka, S., Kushiyama, A., & Kikuchi, T. (2025) · Journal of Diabetes Research · doi:10.1155/jdr/1748628
Song, J., Wang, J., Wan, J., Lu, Y., Wang, W., Li, L., Wang, J. B., Wei, L., & Yin, J. (2026) · Frontiers in Nutrition · doi:10.3389/fnut.2025.1733037
Sumner, J., Motani, M., Ali, J. M., Lee, S. H., Ho, D., Tan, D. H. T., Ling, L. H., Tan, A. T. H., Teng, G. G., Seetharaman, S. K., et al. (2026) · JAMIA Open · doi:10.1093/jamiaopen/ooaf153
Gu, H., Gu, K., Huang, Q., Di, Q., Zhu, J., Yang, Y., Gang, S., & Wan, Z. (2026) · Neuroepidemiology · doi:10.1159/000551219
Arethiya, N., Krammer, L., David, J. A., Bakshi, V., Basuchoudhary, A., Bhuiyan, U., Sen, S., Mazumder, R., & McNeely, P. M. (2026) · medRxiv · doi:10.64898/2026.03.04.26347604
Ritz, P.-J., Aguayo, G., Cosson, E., Canha, D., Renard, É., Merwin, R. M., Amouyal, C., Arnault, G., Bilariki, K., Borot, S., et al. (2026) · BMJ Open · doi:10.1136/bmjopen-2025-104542
Zivkovic, J., Mitter, M., Kober, J., Newman, R., Theodorou, D., & Silbermann, S. (2026) · Diabetes Technology and Obesity Medicine · doi:10.1177/29986702261431097
Zhang, Y., Liu, D., Lu, Y., Kang, P., Liu, X., Wang, Q., Chen, A., Cheng, D., Wu, L., Li, Q., et al. (2026) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2024.0814
Hussain, M. A., Anil Kumar, H., & Lingaiah, M. (2026) · Scientific Reports · doi:10.1038/s41598-026-47067-8
Low‐value glucose monitoring in noncritically ill hospitalized patients
Latifi, N., Mathioudakis, N. N., Abusamaan, M. S., Tschudy, M. M., Ma, J., Olson, S., Jouaneh, T. M. M., Yang, A., & Brotman, D. J. (2026) · Journal of Hospital Medicine · doi:10.1002/jhm.70319
Glatzer, T., Peak, A., Leppäaho, E., Lustenberger, P., Herrero, P., Andorrà, M., & van Maren, E. (2026) · Journal of Diabetes Science and Technology · doi:10.1177/19322968261438523
Trans-ethnic estimation and implications of genetic impact on continuous glycemic profiles
Yu, E. Y.-W., Ren, H.-Y., Liang, X., Xi, Y., Shuai, M., Miao, Z., Xu, F., Zhang, K., Shen, L., Xia, H., et al. (2026) · Cell Discovery · doi:10.1038/s41421-026-00897-2
Masri, S., Albela, M., Ciglenečki, I., Boulle, P., Hachem, T., Bahous, S., Prieto‐Merino, D., & Perel, P. (2026) · Journal of Comparative Effectiveness Research · doi:10.57264/cer-2026-0036
Chazal, E., Trajkovski, J., Boitel, A., Mille, C., Narboux, C. L., Bronnert, R., Grelet, T., Guilhot, M., Vettoretti, L., Pili‐Floury, S., et al. (2026) · British Journal of Anaesthesia · doi:10.1016/j.bja.2026.05.027
Diabetes Mellitus and Long-Distance Running: A Systematic Review
Braschler, L., Thuany, M., Züger, T., Nikolaidis, P. Τ., Weiss, K., Rosemann, T. J., & Knechtle, B. (2026) · Sports Medicine - Open · doi:10.1186/s40798-026-01084-z
Kublin, O., Filipowicz, D., & Stȩpień, M. (2026) · Archives of Medical Science · doi:10.5114/aoms/218227
Zhang, X., Huang, C., Wang, X., Zhang, J., Ling, X., Xu, J., Ma, J., Zhong, F., & Shu, H. (2026) · Frontiers in Medicine · doi:10.3389/fmed.2026.1880028
Interpretation of CGM and Insulin Pump Downloads
McDonnell, D. J., Smith, D., & Forde, H. E. (2026) · Springer eBooks · doi:10.1007/978-3-032-24854-1_7
Symptomatic reactive hypoglycemia is highly prevalent post-esophagectomy
Kareem, M. A., Byrne, K., Mhaoinigh, N. N., Healy, P., Fagan, J., Elliott, J. A., Fanning, M., Doyle, S. L., Reynolds, J. V., & Donohoe, C. L. (2026) · Diseases of the Esophagus · doi:10.1093/dote/doag102
Nillsen, A., Ho, J., Lai, J., Lau, S. M., Marshall, A., McMahon, S., Ramjan, K. A., Velayutham, V., Wanaguru, A., Cho, Y. H., et al. (2026) · Journal of Paediatrics and Child Health · doi:10.1111/jpc.70581
Amuedo, S., Macías, M. E., Fornés, J. M., Arteaga, A. M., Barrau, J. R., Bellido, V., Viñau, F. L., Pichardo, L. M. H., Moreno, A. S., Moreno, A. P., et al. (2026) · Journal of Diabetes Science and Technology · doi:10.1177/19322968261496268
Metadata
- Authors
- Monnier, L., Colette, C., Wojtusciszyn, A., Dejager, S., Renard, E., Molinari, N., & Owens, D. R.
- Affiliations
- Université de Montpellier (FR)
- Pitié-Salpêtrière Hospital (FR)
- Department of Endocrinology, Diabetes, and Nutrition, Montpellier University Hospital, University of Montpellier, Montpellier, France
- Swansea University (GB)
- Corresponding author
- Monnier, Louis
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2016-12-30
- Volume
- 40
- Issue
- 7
- Pages
- 832-838
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- OpenAlex
- W2566952971
- Cited by
- 390
- References
- 40
- Citations by year
- 2026: 25 · 2025: 41 · 2024: 45 · 2023: 39 · 2022: 48 · 2021: 53 · 2020: 44 · 2019: 44 · 2018: 33 · 2017: 17
- FWCI
- 31.40
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Diabetes Care (publishedVersion)
- PubMed (publishedVersion)
- HAL (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, Cardiovascular Risks, and Lipoproteins
- Keywords
- glycemic variability, type 2 diabetes, type 1 diabetes, coefficient of variation, hypoglycemia, continuous glucose monitoring, insulin therapy, DPP-4 inhibitors, sulfonylureas, insulin sensitizers, glycemic stability, threshold
- MeSH terms
- Aged, Blood Glucose, Diabetes Mellitus, Type 1, Diabetes Mellitus, Type 2, Female, Humans, Hypoglycemia, Hypoglycemic Agents, Insulin, Male, Middle Aged, Sulfonylurea Compounds, Treatment Outcome, Dipeptidyl-Peptidase IV Inhibitors
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