{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T18:31:08Z","timestamp":1767897068972,"version":"3.49.0"},"reference-count":138,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T00:00:00Z","timestamp":1760054400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Health Education England (HEE)\/National Institute of Health and Care Research","award":["CL-2022-14-004"],"award-info":[{"award-number":["CL-2022-14-004"]}]},{"DOI":"10.13039\/100010269","name":"the Wellcome Trust","doi-asserted-by":"crossref","award":["208363\/A\/17\/Z"],"award-info":[{"award-number":["208363\/A\/17\/Z"]}],"id":[{"id":"10.13039\/100010269","id-type":"DOI","asserted-by":"crossref"}]},{"name":"NIHR Cambridge Biomedical Research Centre","award":["NIHR203312"],"award-info":[{"award-number":["NIHR203312"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Life"],"abstract":"<jats:p>Continuous glucose monitoring (CGM)-based interventions have been predominantly conducted in people with established diabetes. Recently, there has been an increasing interest in using CGM for clinical and research purposes in people without diabetes. In this review, we describe the current evidence regarding the use of CGM in people at high risk of diabetes. To date, there is no strong evidence to support the global implementation of CGM in individuals who are at risk of developing diabetes. However, there are promising results highlighting the benefits of CGM in specific populations such as people living with obesity, prediabetes, gestational diabetes mellitus, metabolic dysfunction-associated steatotic liver disease, other endocrinopathies, and genetic syndromes. Also, CGM has shown promising potential in people with positive islet autoantibodies and pre-symptomatic type 1 diabetes, those treated with medications that induce hyperglycaemia or diabetes, and individuals receiving solid organ transplantation who are at risk of post-transplant diabetes mellitus. However, larger studies are needed to confirm these preliminary results. CGM-derived data are not currently validated for the diagnosis of diabetes. There is no CGM-derived definition of normoglycaemia in people without diabetes. Looking to the future, CGM metrics, in tandem with physical activity, dietary intake, and clinical parameters, and eventually bioinformatics, may inform personalised risk scores for precision prevention of individuals at risk. We conclude that further research is needed to clarify the indications, drawbacks, and feasibility of CGM use in people at high risk of diabetes to identify those groups who could benefit most from this technology.<\/jats:p>","DOI":"10.3390\/life15101579","type":"journal-article","created":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T12:32:47Z","timestamp":1760099567000},"page":"1579","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Continuous Glucose Monitoring in People at High Risk of Diabetes and Dysglycaemia: Transforming Early Risk Detection and Personalised Care"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1713-3064","authenticated-orcid":false,"given":"Alexandros L.","family":"Liarakos","sequence":"first","affiliation":[{"name":"Department of Diabetes and Endocrinology, University Hospitals of Derby and Burton NHS Foundation Trust, Royal Derby Hospital, Derby DE22 3DT, UK"},{"name":"School of Medicine, Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham NG7 2UH, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0690-1478","authenticated-orcid":false,"given":"Grigorios","family":"Panagiotou","sequence":"additional","affiliation":[{"name":"Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0QQ, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maria","family":"Chondronikola","sequence":"additional","affiliation":[{"name":"Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0QQ, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8698-6207","authenticated-orcid":false,"given":"Emma G.","family":"Wilmot","sequence":"additional","affiliation":[{"name":"Department of Diabetes and Endocrinology, University Hospitals of Derby and Burton NHS Foundation Trust, Royal Derby Hospital, Derby DE22 3DT, UK"},{"name":"School of Medicine, Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham NG7 2UH, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,10,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1477","DOI":"10.1056\/NEJMoa2205650","article-title":"Intermittently Scanned Continuous Glucose Monitoring for Type 1 Diabetes","volume":"387","author":"Leelarathna","year":"2022","journal-title":"N. 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