The Use of Continuous Glucose Monitoring to Diagnose Stage 2 Type 1 Diabetes

dc.contributor.authorMader, Julia K.
dc.contributor.authorWong, Jenise C.
dc.contributor.authorFreckmann, Guido
dc.contributor.authorGarcia-Tirado, Jose
dc.contributor.authorHirsch, Irl B.
dc.contributor.authorJohnson, Suzanne Bennett
dc.contributor.authorKerr, David
dc.contributor.authorKim, Sun H.
dc.contributor.authorLal, Rayhan
dc.contributor.authorMontaser, Eslam
dc.contributor.authorO'Donnell, Holly
dc.contributor.authorPleus, Stefan
dc.contributor.authorShah, Viral N.
dc.contributor.authorAyers, Alessandra T.
dc.contributor.authorHo, Cindy N.
dc.contributor.authorBiester, Torben
dc.contributor.authorDovc, Klemen
dc.contributor.authorFarrokhi, Farnoosh
dc.contributor.authorFleming, Alexander
dc.contributor.authorGillard, Pieter
dc.contributor.authorHeinemann, Lutz
dc.contributor.authorLópez-Díez, Raquel
dc.contributor.authorMaahs, David M.
dc.contributor.authorMathieu, Chantal
dc.contributor.authorQuandt, Zoe
dc.contributor.authorRami-Merhar, Birgit
dc.contributor.authorWolf, Wendy
dc.contributor.authorKlonoff, David C.
dc.contributor.departmentMedicine, School of Medicine
dc.date.accessioned2025-06-17T17:44:43Z
dc.date.available2025-06-17T17:44:43Z
dc.date.issued2025-05-30
dc.description.abstractThis consensus report evaluates the potential role of continuous glucose monitoring (CGM) in screening for stage 2 type 1 diabetes (T1D). CGM offers a minimally invasive alternative to venous blood testing for detecting dysglycemia, facilitating early identification of at-risk individuals for confirmatory blood testing. A panel of experts reviewed current evidence and addressed key questions regarding CGM's diagnostic accuracy and screening protocols. They concluded that while CGM cannot yet replace blood-based diagnostics, it holds promise as a screening tool that could lead to earlier, more effective intervention. Metrics such as time above range >140 mg/dL could indicate progression risk, and artificial intelligence (AI)-based modeling may enhance predictive capabilities. Further research is needed to establish CGM-based diagnostic criteria and refine screening strategies to improve T1D detection and intervention.
dc.eprint.versionFinal published version
dc.identifier.citationMader JK, Wong JC, Freckmann G, et al. The Use of Continuous Glucose Monitoring to Diagnose Stage 2 Type 1 Diabetes. J Diabetes Sci Technol. Published online May 30, 2025. doi:10.1177/19322968251333441
dc.identifier.urihttps://hdl.handle.net/1805/48832
dc.language.isoen_US
dc.publisherSage
dc.relation.isversionof10.1177/19322968251333441
dc.relation.journalJournal of Diabetes Science and Technology
dc.rightsPublisher Policy
dc.sourcePMC
dc.subjectCGM
dc.subjectArtificial intelligence
dc.subjectMachine learning
dc.subjectStage 2 T1D
dc.subjectTeplizumab
dc.titleThe Use of Continuous Glucose Monitoring to Diagnose Stage 2 Type 1 Diabetes
dc.typeArticle
ul.alternative.fulltexthttps://pmc.ncbi.nlm.nih.gov/articles/PMC12125016/
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