{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T12:10:10Z","timestamp":1791634210795,"version":"4.3.4"},"reference-count":44,"publisher":"SAGE Publications","issue":"12","license":[{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Diabetes Technology &amp; Therapeutics"],"published-print":{"date-parts":[[2024,12]]},"abstract":"<jats:p>\n                    The incidence, prevalence, mortality, and health expenditure associated with diabetes continue to grow, despite efforts. The use of multianalyte sensors, which detect glucose as well as key analytes such as ketones, lactate, insulin, uric acid, and electrolytes, may provide additional information to guide earlier identification and management of diabetes and its complications. We undertook a narrative review using a systematic approach in May 2023, with a bridge search undertaken in April 2024. Four biomedical databases were searched: MEDLINE (Ovid), Embase, Emcare, and Cochrane Library. Searches for gray literature were conducted on ClinicalTrials.gov, Google Scholar, and websites of relevant organizations. Included studies incorporated articles on multianalyte sensors in diabetes and single-analyte sensors proposing integration into multianalyte diabetes management, with no limits placed on publication date and study design. Data were screened and extracted using Covidence\n                    <jats:sup>TM<\/jats:sup>\n                    software. Overall, 11 articles were included, of which 7 involved multianalyte sensors (involving glucose and other analytes) and 4 single-analyte sensors (measuring non-glucose substances for proposed future integration into multianalyte systems). Analytes examined were ketones (\n                    <jats:italic toggle=\"yes\">n<\/jats:italic>\n                    = 3), lactate (\n                    <jats:italic toggle=\"yes\">n<\/jats:italic>\n                    = 4), uric acid (\n                    <jats:italic toggle=\"yes\">n<\/jats:italic>\n                    = 3), insulin (\n                    <jats:italic toggle=\"yes\">n<\/jats:italic>\n                    = 1), and potassium (\n                    <jats:italic toggle=\"yes\">n<\/jats:italic>\n                    = 1). Results demonstrated that\n                    <jats:italic toggle=\"yes\">in vitro<\/jats:italic>\n                    and\n                    <jats:italic toggle=\"yes\">in vivo<\/jats:italic>\n                    measurements of multi- and single-analyte sensors accurately and reliably corresponded with human capillary and serum samples. While the literature on this topic is sparse, our review demonstrated that measurement of glucose and other analytes can be feasibly undertaken using multi- and single-analyte sensors. More studies in humans are needed to establish clinical utility in diabetes self-management and assist with technological improvements.\n                  <\/jats:p>","DOI":"10.1089\/dia.2024.0250","type":"journal-article","created":{"date-parts":[[2024,7,25]],"date-time":"2024-07-25T11:50:39Z","timestamp":1721908239000},"page":"885-896","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":11,"title":["Beyond Glucose Monitoring: Multianalyte Sensor Use in Diabetes"],"prefix":"10.1177","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-3523-0508","authenticated-orcid":false,"given":"Kathy","family":"Zhou","sequence":"first","affiliation":[{"name":"Department of Medicine, University of Melbourne, Parkville, Australia."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Steven","family":"James","sequence":"additional","affiliation":[{"name":"Department of Medicine, University of Melbourne, Parkville, Australia."},{"name":"School of Health, University of the Sunshine Coast, Petrie, Australia."},{"name":"School of Medicine, Western Sydney University, Campbelltown, Australia."},{"name":"Australian Centre for Accelerating Diabetes Innovations (ACADI), Department of Medicine, University of Melbourne, Parkville, Australia."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7350-3299","authenticated-orcid":false,"given":"Michele","family":"Gaca","sequence":"additional","affiliation":[{"name":"Department of Medicine, University of Melbourne, Parkville, Australia."},{"name":"Australian Centre for Accelerating Diabetes Innovations (ACADI), Department of Medicine, University of Melbourne, Parkville, Australia."},{"name":"Department of Endocrinology, Austin Health, Heidelberg, Australia."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ashani","family":"Lecamwasam","sequence":"additional","affiliation":[{"name":"Department of Medicine, University of Melbourne, Parkville, Australia."},{"name":"Department of Endocrinology, Austin Health, Heidelberg, Australia."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Muamer","family":"Dervisevic","sequence":"additional","affiliation":[{"name":"Drug Delivery, Disposition and Dynamics, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, Australia."},{"name":"Melbourne Centre for Nanofabrication, Victorian Node of Australian National Fabrication Facility, Clayton, Australia."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0870-4032","authenticated-orcid":false,"given":"David","family":"O\u2019Neal","sequence":"additional","affiliation":[{"name":"Department of Medicine, University of Melbourne, St. Vincent\u2019s Hospital Melbourne, Fitzroy, Victoria, Australia."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nicolas H.","family":"Voelcker","sequence":"additional","affiliation":[{"name":"Drug Delivery, Disposition and Dynamics, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, Australia."},{"name":"Melbourne Centre for Nanofabrication, Victorian Node of Australian National Fabrication Facility, Clayton, Australia."},{"name":"Department of Materials Science &amp; Engineering, Monash University, Clayton, Australia."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Elif I.","family":"Ekinci","sequence":"additional","affiliation":[{"name":"Department of Medicine, University of Melbourne, Parkville, Australia."},{"name":"Australian Centre for Accelerating Diabetes Innovations (ACADI), Department of Medicine, University of Melbourne, Parkville, Australia."},{"name":"Department of Endocrinology, Austin Health, Heidelberg, Australia."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2024,12,13]]},"reference":[{"issue":"10397","key":"e_1_3_4_2_2","first-page":"203","article-title":"Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: A systematic analysis for the Global Burden of Disease Study 2021","volume":"402","author":"Collaborators GD","year":"2023","unstructured":"Collaborators GD. Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: A systematic analysis for the Global Burden of Disease Study 2021. GBD 2021 Diabetes Collaborators, 2023; 402(10397):203\u2013234. [1474-547X (Electronic)].","journal-title":"GBD 2021 Diabetes Collaborators"},{"key":"e_1_3_4_3_2","unstructured":"International Diabetes Federation. IDF Diabetes Atlas. International Diabetes Federation; 2021. 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