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For: Klonoff DC, Ahn D, Drincic A. Continuous glucose monitoring: A review of the technology and clinical use. Diabetes Res Clin Pract 2017;133:178-92. [PMID: 28965029 DOI: 10.1016/j.diabres.2017.08.005] [Cited by in Crossref: 102] [Cited by in F6Publishing: 69] [Article Influence: 20.4] [Reference Citation Analysis]
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6 Kebede MM, Schuett C, Pischke CR. The Role of Continuous Glucose Monitoring, Diabetes Smartphone Applications, and Self-Care Behavior in Glycemic Control: Results of a Multi-National Online Survey. J Clin Med 2019;8:E109. [PMID: 30658463 DOI: 10.3390/jcm8010109] [Cited by in Crossref: 10] [Cited by in F6Publishing: 7] [Article Influence: 3.3] [Reference Citation Analysis]
7 Huhn EA, Linder T, Eppel D, Weißhaupt K, Klapp C, Schellong K, Henrich W, Yerlikaya-Schatten G, Rosicky I, Husslein P, Chalubinski K, Mittlböck M, Rust P, Hoesli I, Winzeler B, Jendle J, Fehm T, Icks A, Vomhof M, Greiner GG, Szendrödi J, Roden M, Tura A, Göbl CS. Effectiveness of real-time continuous glucose monitoring to improve glycaemic control and pregnancy outcome in patients with gestational diabetes mellitus: a study protocol for a randomised controlled trial. BMJ Open 2020;10:e040498. [PMID: 33257486 DOI: 10.1136/bmjopen-2020-040498] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
8 Karunathilaka SR, Arnold MA, Small GW. Nocturnal Hypoglycemic Alarm Based on Near-Infrared Spectroscopy: In Vivo Studies with a Rat Animal Model. Anal Chem 2019;91:1855-62. [PMID: 30605302 DOI: 10.1021/acs.analchem.8b03437] [Cited by in Crossref: 1] [Article Influence: 0.3] [Reference Citation Analysis]
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10 Cobry E, Reznick-Lipina T, Pyle L, Slover RJ, Thomas JF, Alonso GT, Wadwa RP. Diabetes Technology Use in Remote Pediatric Patients with Type 1 Diabetes Using Clinic-to-Clinic Telemedicine. Diabetes Technol Ther 2021. [PMID: 34524007 DOI: 10.1089/dia.2021.0229] [Reference Citation Analysis]
11 Sheikh K, Bartz SK, Lyons SK, DeSalvo DJ. Diabetes Device Use and Glycemic Control among Youth with Type 1 Diabetes: A Single-Center, Cross-Sectional Study. J Diabetes Res 2018;2018:5162162. [PMID: 30151393 DOI: 10.1155/2018/5162162] [Cited by in Crossref: 13] [Cited by in F6Publishing: 9] [Article Influence: 3.3] [Reference Citation Analysis]
12 Bao Y, Chen L, Chen L, Dou J, Gao Z, Gao L, Guo L, Guo X, Ji L, Ji Q, Jia W, Kuang H, Li Q, Li Q, Li X, Li Y, Li L, Liu J, Ma J, Ran X, Shi L, Song G, Wang Y, Weng J, Xiao X, Xie Y, Xi G, Yang L, Zhao Z, Zhou J, Zhou Z, Zhu D, Zou D; Chinese Diabetes Society. Chinese clinical guidelines for continuous glucose monitoring (2018 edition). Diabetes Metab Res Rev 2019;35:e3152. [PMID: 30884108 DOI: 10.1002/dmrr.3152] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 1.3] [Reference Citation Analysis]
13 Xia J, Hu S, Xu J, Hao H, Yin C, Xu D. The correlation between glucose fluctuation from self-monitored blood glucose and the major adverse cardiac events in diabetic patients with acute coronary syndrome during a 6-month follow-up by WeChat application. Clin Chem Lab Med 2018;56:2119-24. [PMID: 30016270 DOI: 10.1515/cclm-2018-0220] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 2.3] [Reference Citation Analysis]
14 Sun K, Ding Z, Zhang J, Chen H, Qin Y, Xu S, Wu C, Yu J, Chiu DT. Enhancing the Long-Term Stability of a Polymer Dot Glucose Transducer by Using an Enzymatic Cascade Reaction System. Adv Healthc Mater 2021;10:e2001019. [PMID: 33094566 DOI: 10.1002/adhm.202001019] [Cited by in Crossref: 6] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
15 Sandy JL, Nyunt O, Woodhead HJ, Youde LS, Ramjan KA, Jack MM, Lim L, Shepherd M, Marshall A, Townsend N, Wilson S, Duke SA, Slavich E, Hameed S. Sydney Diabetes centre's experience of the Australian Government's roll out of subsidised continuous glucose monitoring for children with type 1 diabetes mellitus. J Paediatr Child Health 2019;55:1056-62. [PMID: 30565355 DOI: 10.1111/jpc.14340] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 0.8] [Reference Citation Analysis]
16 Lubken RM, de Jong AM, Prins MWJ. Real-Time Monitoring of Biomolecules: Dynamic Response Limits of Affinity-Based Sensors. ACS Sens . [DOI: 10.1021/acssensors.1c02307] [Reference Citation Analysis]
17 Thyde DN, Mohebbi A, Bengtsson H, Jensen ML, Mørup M. Machine Learning-Based Adherence Detection of Type 2 Diabetes Patients on Once-Daily Basal Insulin Injections. J Diabetes Sci Technol 2021;15:98-108. [PMID: 32297804 DOI: 10.1177/1932296820912411] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
18 Sheikh K, Bartz SK, Lyons SK, DeSalvo DJ. Diabetes Device Use and Glycemic Control among Youth with Type 1 Diabetes: A Single-Center, Cross-Sectional Study. J Diabetes Res 2018;2018:5162162. [PMID: 30151393 DOI: 10.1155/2018/5162162] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
19 Gothong C, Singh LG, Satyarengga M, Spanakis EK. Continuous glucose monitoring in the hospital: an update in the era of COVID-19. Curr Opin Endocrinol Diabetes Obes 2022;29:1-9. [PMID: 34845159 DOI: 10.1097/MED.0000000000000693] [Reference Citation Analysis]
20 Williams GT, Haynes CJE, Fares M, Caltagirone C, Hiscock JR, Gale PA. Advances in applied supramolecular technologies. Chem Soc Rev 2021;50:2737-63. [DOI: 10.1039/d0cs00948b] [Cited by in Crossref: 9] [Cited by in F6Publishing: 2] [Article Influence: 9.0] [Reference Citation Analysis]
21 Brownlee BJ, Bahari M, Harb JN, Claussen JC, Iverson BD. Electrochemical Glucose Sensors Enhanced by Methyl Viologen and Vertically Aligned Carbon Nanotube Channels. ACS Appl Mater Interfaces 2018;10:28351-60. [PMID: 30067019 DOI: 10.1021/acsami.8b08997] [Cited by in Crossref: 24] [Cited by in F6Publishing: 11] [Article Influence: 6.0] [Reference Citation Analysis]
22 Fabris C, Ozaslan B, Breton MD. Continuous Glucose Monitors and Activity Trackers to Inform Insulin Dosing in Type 1 Diabetes: The University of Virginia Contribution. Sensors (Basel) 2019;19:E5386. [PMID: 31817678 DOI: 10.3390/s19245386] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
23 Prendin F, Del Favero S, Vettoretti M, Sparacino G, Facchinetti A. Forecasting of Glucose Levels and Hypoglycemic Events: Head-to-Head Comparison of Linear and Nonlinear Data-Driven Algorithms Based on Continuous Glucose Monitoring Data Only. Sensors (Basel) 2021;21:1647. [PMID: 33673415 DOI: 10.3390/s21051647] [Reference Citation Analysis]
24 Brown JC, Carson TL, Thompson HJ, Agurs-Collins T. The Triple Health Threat of Diabetes, Obesity, and Cancer-Epidemiology, Disparities, Mechanisms, and Interventions. Obesity (Silver Spring) 2021;29:954-9. [PMID: 34029445 DOI: 10.1002/oby.23161] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
25 Alawadi F, Alsaeed M, Bachet F, Bashier A, Abdulla K, Abuelkheir S, Rashid F, Abdulaziz Bin Hussain A, Abdelgadir E, Alsayyah F, Elsayed M, Hassanein M. Impact of provision of optimum diabetes care on the safety of fasting in Ramadan in adult and adolescent patients with type 1 diabetes mellitus. Diabetes Research and Clinical Practice 2020;169:108466. [DOI: 10.1016/j.diabres.2020.108466] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
26 De Ridder F, den Brinker M, De Block C. The road from intermittently scanned glucose monitoring to hybrid closed-loop systems: Part A. Keys to success: subject profiles, choice of systems, education. Ther Adv Endocrinol Metab 2019;10:2042018819865399. [PMID: 31384420 DOI: 10.1177/2042018819865399] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.7] [Reference Citation Analysis]
27 Segman YJ. Device and Method for Noninvasive Glucose Assessment. J Diabetes Sci Technol 2018;12:1159-68. [PMID: 29575926 DOI: 10.1177/1932296818763457] [Cited by in Crossref: 14] [Cited by in F6Publishing: 8] [Article Influence: 3.5] [Reference Citation Analysis]
28 Holzer R, Bloch W, Brinkmann C. Continuous Glucose Monitoring in Healthy Adults—Possible Applications in Health Care, Wellness, and Sports. Sensors 2022;22:2030. [DOI: 10.3390/s22052030] [Reference Citation Analysis]
29 Yuan T, Liu S, Zhu C, Dong Y, Zhu H, Wu X, Tang Y, Zhao W. Continuous Glucose Monitoring in Patients With Insulinoma Treated by Endoscopic Ultrasound-Guided Ethanol Injection. Pancreas 2021;50:183-8. [PMID: 33560091 DOI: 10.1097/MPA.0000000000001735] [Reference Citation Analysis]
30 Kontou TG, Sargent C, Roach GD. Glucose Concentrations from Continuous Glucose Monitoring Devices Compared to Those from Blood Plasma during an Oral Glucose Tolerance Test in Healthy Young Adults. Int J Environ Res Public Health 2021;18:12994. [PMID: 34948608 DOI: 10.3390/ijerph182412994] [Reference Citation Analysis]
31 De Ridder F, den Brinker M, De Block C. The road from intermittently scanned continuous glucose monitoring to hybrid closed-loop systems. Part B: results from randomized controlled trials. Ther Adv Endocrinol Metab 2019;10:2042018819871903. [PMID: 31516690 DOI: 10.1177/2042018819871903] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 1.3] [Reference Citation Analysis]
32 Perez-Guzman MC, Shang T, Zhang JY, Jornsay D, Klonoff DC. Continuous Glucose Monitoring in the Hospital. Endocrinol Metab (Seoul) 2021;36:240-55. [PMID: 33789033 DOI: 10.3803/EnM.2021.201] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
33 Bruttomesso D, Laviola L, Avogaro A, Bonora E, Del Prato S, Frontoni S, Orsi E, Rabbone I, Sesti G, Purrello F; of the Italian Diabetes Society (SID). The use of real time continuous glucose monitoring or flash glucose monitoring in the management of diabetes: A consensus view of Italian diabetes experts using the Delphi method. Nutr Metab Cardiovasc Dis 2019;29:421-31. [PMID: 30952574 DOI: 10.1016/j.numecd.2019.01.018] [Cited by in Crossref: 19] [Cited by in F6Publishing: 16] [Article Influence: 6.3] [Reference Citation Analysis]
34 Taylor PJ, Thompson CH, Luscombe-Marsh ND, Wycherley TP, Wittert G, Brinkworth GD, Zajac I. Tolerability and acceptability of real-time continuous glucose monitoring and its impact on diabetes management behaviours in individuals with Type 2 Diabetes - A pilot study. Diabetes Res Clin Pract 2019;155:107814. [PMID: 31421138 DOI: 10.1016/j.diabres.2019.107814] [Cited by in Crossref: 1] [Article Influence: 0.3] [Reference Citation Analysis]
35 Lobanova KG, Severina AS, Martinov SA, Shamkhalova MS, Shestakova MV. [Glycemic control in patients with diabetes mellitus on hemodialysis]. Ter Arkh 2019;91:124-34. [PMID: 32598642 DOI: 10.26442/00403660.2019.10.000352] [Cited by in Crossref: 1] [Article Influence: 0.3] [Reference Citation Analysis]
36 Herbert M, Pendyal S, Rairikar M, Halaby C, Benjamin RW, Kishnani PS. Role of continuous glucose monitoring in the management of glycogen storage disorders. J Inherit Metab Dis 2018;41:917-27. [DOI: 10.1007/s10545-018-0200-5] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 1.5] [Reference Citation Analysis]
37 Fokkert MJ, Damman A, van Dijk PR, Edens MA, Abbes S, Braakman J, Slingerland RJ, Dikkeschei LD, Dille J, Bilo HJG. Use of FreeStyle Libre Flash Monitor Register in the Netherlands (FLARE-NL1): Patient Experiences, Satisfaction, and Cost Analysis. Int J Endocrinol 2019;2019:4649303. [PMID: 31781209 DOI: 10.1155/2019/4649303] [Cited by in Crossref: 12] [Cited by in F6Publishing: 10] [Article Influence: 4.0] [Reference Citation Analysis]
38 Zulj S, Carvalho P, Ribeiro RT, Andrade R, Magjarevic R. Data size considerations and hyperparameter choices in case-based reasoning approach to glucose prediction. Biocybernetics and Biomedical Engineering 2021;41:733-45. [DOI: 10.1016/j.bbe.2021.04.013] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
39 Persons AK, Ball JE, Freeman C, Macias DM, Simpson CL, Smith BK, Burch V RF. Fatigue Testing of Wearable Sensing Technologies: Issues and Opportunities. Materials (Basel) 2021;14:4070. [PMID: 34361264 DOI: 10.3390/ma14154070] [Reference Citation Analysis]
40 Peeks F, Hoogeveen IJ, Feldbrugge RL, Burghard R, de Boer F, Fokkert-Wilts MJ, van der Klauw MM, Oosterveer MH, Derks TGJ. A retrospective in-depth analysis of continuous glucose monitoring datasets for patients with hepatic glycogen storage disease: Recommended outcome parameters for glucose management. J Inherit Metab Dis 2021;44:1136-50. [PMID: 33834518 DOI: 10.1002/jimd.12383] [Reference Citation Analysis]
41 Triki N, Yekutiel N, Levi L, Azuri J. The effects of continuous glucose monitoring system on patient outcomes and associated costs in a real-world setting. Diabet Med 2021;38:e14518. [PMID: 33432592 DOI: 10.1111/dme.14518] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
42 Dziergowska K, Łabowska MB, Gąsior-głogowska M, Kmiecik B, Detyna J. Modern noninvasive methods for monitoring glucose levels in patients: a review. Bio-Algorithms and Med-Systems 2019;15. [DOI: 10.1515/bams-2019-0052] [Cited by in Crossref: 4] [Cited by in F6Publishing: 1] [Article Influence: 1.3] [Reference Citation Analysis]
43 Vettoretti M, Battocchio C, Sparacino G, Facchinetti A. Development of an Error Model for a Factory-Calibrated Continuous Glucose Monitoring Sensor with 10-Day Lifetime. Sensors (Basel) 2019;19:E5320. [PMID: 31816886 DOI: 10.3390/s19235320] [Cited by in Crossref: 5] [Cited by in F6Publishing: 2] [Article Influence: 1.7] [Reference Citation Analysis]
44 Oser SM, Stuckey HL, Parascando JA, McGinley EL, Berg A, Oser TK. Glycated Hemoglobin Differences Among Blog-Reading Adults With Type 1 Diabetes Compared With Those Who Do Not Read Blogs: Cross-Sectional Study. JMIR Diabetes 2019;4:e13634. [PMID: 30938693 DOI: 10.2196/13634] [Cited by in Crossref: 12] [Cited by in F6Publishing: 9] [Article Influence: 4.0] [Reference Citation Analysis]
45 Freckmann G, Buck S, Waldenmaier D, Haug C. Methoden der Stoffwechselkontrolle – HbA1c versus „time in range“. Diabetologe 2021;17:223-34. [DOI: 10.1007/s11428-021-00730-2] [Reference Citation Analysis]
46 Jensen MH, Cichosz SL, Hirsch IB, Vestergaard P, Hejlesen O, Seto E. Smoking is Associated With Increased Risk of Not Achieving Glycemic Target, Increased Glycemic Variability, and Increased Risk of Hypoglycemia for People With Type 1 Diabetes. J Diabetes Sci Technol 2021;15:827-32. [PMID: 32456531 DOI: 10.1177/1932296820922254] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
47 Golledge J, Fernando M, Lazzarini P, Najafi B, G Armstrong D. The Potential Role of Sensors, Wearables and Telehealth in the Remote Management of Diabetes-Related Foot Disease. Sensors (Basel). 2020;20. [PMID: 32823514 DOI: 10.3390/s20164527] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 3.5] [Reference Citation Analysis]
48 Egawa Y, Seki T, Miki R, Seki T. Sugar-responsive smart materials based on phenylboronic acid and cyclodextrin. J Incl Phenom Macrocycl Chem 2019;94:1-10. [DOI: 10.1007/s10847-019-00899-6] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 1.3] [Reference Citation Analysis]
49 Naikoo GA, Awan T, Salim H, Arshad F, Hassan IU, Pedram MZ, Ahmed W, Faruck HL, Aljabali AAA, Mishra V, Serrano-Aroca Á, Goyal R, Negi P, Birkett M, Nasef MM, Charbe NB, Bakshi HA, Tambuwala MM. Fourth-generation glucose sensors composed of copper nanostructures for diabetes management: A critical review. Bioeng Transl Med 2022;7:e10248. [PMID: 35111949 DOI: 10.1002/btm2.10248] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
50 Papas KK, De Leon H, Suszynski TM, Johnson RC. Oxygenation strategies for encapsulated islet and beta cell transplants. Advanced Drug Delivery Reviews 2019;139:139-56. [DOI: 10.1016/j.addr.2019.05.002] [Cited by in Crossref: 24] [Cited by in F6Publishing: 24] [Article Influence: 8.0] [Reference Citation Analysis]
51 Singh LG, Satyarengga M, Marcano I, Scott WH, Pinault LF, Feng Z, Sorkin JD, Umpierrez GE, Spanakis EK. Reducing Inpatient Hypoglycemia in the General Wards Using Real-time Continuous Glucose Monitoring: The Glucose Telemetry System, a Randomized Clinical Trial. Diabetes Care 2020;43:2736-43. [PMID: 32759361 DOI: 10.2337/dc20-0840] [Cited by in Crossref: 26] [Cited by in F6Publishing: 22] [Article Influence: 13.0] [Reference Citation Analysis]
52 Pleus S, Ulbrich S, Zschornack E, Kamann S, Haug C, Freckmann G. Documentation of Skin-Related Issues Associated with Continuous Glucose Monitoring Use in the Scientific Literature. Diabetes Technology & Therapeutics 2019;21:538-45. [DOI: 10.1089/dia.2019.0171] [Cited by in Crossref: 15] [Cited by in F6Publishing: 9] [Article Influence: 5.0] [Reference Citation Analysis]
53 Yin L, Kim KN, Trifonov A, Podhajny T, Wang J. Designing wearable microgrids: towards autonomous sustainable on-body energy management. Energy Environ Sci 2022;15:82-101. [DOI: 10.1039/d1ee03113a] [Reference Citation Analysis]
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55 Freckmann G, Nichols JH, Hinzmann R, Klonoff DC, Ju Y, Diem P, Makris K, Slingerland RJ. Standardization process of continuous glucose monitoring: Traceability and performance. Clinica Chimica Acta 2021;515:5-12. [DOI: 10.1016/j.cca.2020.12.025] [Cited by in Crossref: 5] [Cited by in F6Publishing: 3] [Article Influence: 5.0] [Reference Citation Analysis]
56 Lin FY, Lee PY, Chu TF, Peng CI, Wang GJ. Neutral Nonenzymatic Glucose Biosensors Based on Electrochemically Deposited Pt/Au Nanoalloy Electrodes. Int J Nanomedicine 2021;16:5551-63. [PMID: 34429599 DOI: 10.2147/IJN.S321480] [Reference Citation Analysis]
57 Abraham AA, Means AK, Clubb FJ Jr, Fei R, Locke AK, Gacasan EG, Coté GL, Grunlan MA. Foreign Body Reaction to a Subcutaneously Implanted Self-Cleaning, Thermoresponsive Hydrogel Membrane for Glucose Biosensors. ACS Biomater Sci Eng 2018;4:4104-11. [PMID: 31633011 DOI: 10.1021/acsbiomaterials.8b01061] [Cited by in Crossref: 13] [Cited by in F6Publishing: 10] [Article Influence: 3.3] [Reference Citation Analysis]
58 Freckmann G, Link M, Westhoff A, Kamecke U, Pleus S, Haug C. Prediction Quality of Glucose Trend Indicators in Two Continuous Tissue Glucose Monitoring Systems. Diabetes Technol Ther 2018;20:550-6. [PMID: 30067409 DOI: 10.1089/dia.2018.0112] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 1.5] [Reference Citation Analysis]
59 Jin HY, Lee KA, Kim YJ, Park TS, Lee S, Park SK, Hwang HP, Yang JD, Ahn SW, Yu HC. The Degree of Hyperglycemia Excursion in Patients of Kidney Transplantation (KT) or Liver Transplantation (LT) Assessed by Continuous Glucose Monitoring (CGM): Pilot Study. J Diabetes Res 2019;2019:1757182. [PMID: 31886275 DOI: 10.1155/2019/1757182] [Cited by in Crossref: 1] [Article Influence: 0.3] [Reference Citation Analysis]
60 Freckmann G, Mende J. Continuous glucose monitoring: data management and evaluation by patients and health care professionals – current situation and developments. LaboratoriumsMedizin 2018;42:225-33. [DOI: 10.1515/labmed-2018-0119] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 0.8] [Reference Citation Analysis]
61 Cobry EC, Berget C, Messer LH, Forlenza GP. Review of the Omnipod® 5 Automated Glucose Control System Powered by Horizon™ for the treatment of Type 1 diabetes. Ther Deliv 2020;11:507-19. [PMID: 32723002 DOI: 10.4155/tde-2020-0055] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
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