Evidence map›Paper›PMID 39075847›Full record

ArticleJournal of diabetes investigation2024

Glycemic metrics in Japanese isCGM users - Analysis by diabetes type and therapy.

Wataru Ogawa, Tatsuhiko Urakami, Takashi Kadowaki, Kalvin Kao, Laura Brandner, Kenichiro Shimizu, Timothy C Dunn

Abstract read
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Article in Journal of diabetes investigation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Wataru OgawaDivision of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan.ORCID https://orcid.org/0000-0002-0432-4366
Tatsuhiko UrakamiDepartment of Pediatrics, Nihon University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0001-7976-9557
Takashi KadowakiToranomon Hospital, Tokyo, Japan.
Kalvin KaoAbbott Diabetes Care, Alameda, California, USA.
Laura BrandnerAbbott Diabetes Care, Alameda, California, USA.ORCID https://orcid.org/0009-0005-8250-1689
Kenichiro ShimizuAbbott Diabetes Care, Tokyo, Japan.
Timothy C DunnAbbott Diabetes Care, Alameda, California, USA.

Funding

Abbott Diabetes Care
6 · The paper itself

Abstract

AIMS/

introductionThe FreeStyle Libre (FSL) intermittently scanned continuous glucose monitoring (isCGM) system continually measures interstitial glucose levels and provides the data to users in numerical and graphical formats that guide users in their daily diabetes self-management. Although numerous studies have demonstrated the glycemic benefits of FSL in pediatric and adult populations, few studies have characterized FSL use specifically by Japanese adults with type 1 or 2 diabetes. We utilized established CGM metrics to assess glycemic control in a large cohort of Japanese adults with type 1 and 2 diabetes. MATERIALS AND

methodsA total of 3,463 anonymized FSL users provided categorization into one of four therapy groups of interest: type 1 diabetes (n = 1,768), type 2 diabetes-multiple daily injections (MDI) (n = 612), type 2 diabetes-basal (BOI) (n = 343), and type 2 diabetes-non-insulin (NIT) (n = 740). Established CGM metrics were used to assess glycemic control.

resultsAll study groups showed relatively good glycemic control. Type 1 diabetes users showed the highest glucose variability (SD, 61 mg/dL; and %CV, 40%), above the established target level (%CV ≤ 36%). type 2 diabetes-MDI and type 2 diabetes-BOI users had similar levels of glucose variability (both within target). Type 2 diabetes-NIT users had the highest mean % time in range (TIR) (84.3%) and largest percentage of users that met the target of %TIR > 70% (87.4%). In contrast, type 1 diabetes users had the lowest mean %TIR (62.6%) and the lowest percentage meeting the established %TIR target (30.5%).

conclusionsBy utilizing CGM devices in daily diabetes care, both healthcare professionals and patients can monitor glycemic excursions and gain insights into their historical glucose control patterns.

Indexed as

Blood Glucose Self-MonitoringDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2Glycemic ControlAdultAgedBiomarkersBlood GlucoseEast Asian PeopleFemaleGlycated HemoglobinHumansHypoglycemic AgentsInsulinJapanMaleBiomarkersBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanHypoglycemic AgentsInsulinGlycemic controlIntermittently scanned continuous glucose monitoringReal world evidence

Identifiers

PMID39075847
PMCPMC11442748

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.