{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T09:53:00Z","timestamp":1792144380638,"version":"4.4.0"},"reference-count":22,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2025,9,22]],"date-time":"2025-09-22T00:00:00Z","timestamp":1758499200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2025,9,22]],"date-time":"2025-09-22T00:00:00Z","timestamp":1758499200000},"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":["Annals of Neurosciences"],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Atherosclerosis, a precursor to macrovascular complications in type 2 diabetes, has shown links to blood glucose fluctuations. Carotid intima-media thickness (CIMT) serves as a non-invasive tool for early atherosclerosis assessment.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>This study explores associations between specific glycaemic variability markers and CIMT in young type 2 diabetes patients.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methodology<\/jats:title>\n                    <jats:p>A cross-sectional study was conducted on 52 patients aged \u226450, assessing mean blood glucose (MBG), standard deviation (SD), mean amplitude of glucose excursion (MAGE), largest amplitude of glucose excursion (LAGE) and CIMT. Statistical analyses included descriptive statistics and Spearman\u2019s rank correlation tests.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results and Discussion<\/jats:title>\n                    <jats:p>Participants exhibited diverse characteristics and poor glycaemic control (mean glycated hemoglobin (HbA1c): 8.7%). Nephropathy (52%), neuropathy (44.2%) and diabetic retinopathy (67.3%) were prevalent. Continuous glucose monitoring (CGM) revealed elevated glycaemic parameters. Significant correlations were found between MBG, SD, MAGE, LAGE and CIMT. Despite regional variations and elevated risk factors, findings align with prior studies, emphasising the multifactorial nature of atherosclerosis. The study highlights the importance of targeted interventions in diabetes management.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The study reveals suboptimal glycaemic control and a high prevalence of microvascular complications. Contrary to some studies, it establishes a significant correlation between glycaemic variability and CIMT, emphasising the importance of targeted interventions.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/09727531251371344","type":"journal-article","created":{"date-parts":[[2025,9,22]],"date-time":"2025-09-22T11:51:42Z","timestamp":1758541902000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":3,"title":["Correlation of Carotid Intima-media Thickness with Glycaemic Variability in Patients with Type 2 Diabetes Mellitus: A Cross-sectional Study"],"prefix":"10.1177","author":[{"given":"Shyam Murti","family":"Bohare","sequence":"first","affiliation":[{"name":"Department of Medicine, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3609-1162","authenticated-orcid":false,"given":"Monika","family":"Pathania","sequence":"additional","affiliation":[{"name":"Department of Medicine, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ravi","family":"Kant","sequence":"additional","affiliation":[{"name":"Department of Medicine, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0251-2611","authenticated-orcid":false,"given":"Oshin","family":"Puri","sequence":"additional","affiliation":[{"name":"All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ashish Sanjay","family":"Chaudhari","sequence":"additional","affiliation":[{"name":"Department of Medicine, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Minakshi","family":"Dhar","sequence":"additional","affiliation":[{"name":"Department of Medicine, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2025,9,22]]},"reference":[{"key":"e_1_3_7_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.diabres.2010.05.004"},{"key":"e_1_3_7_3_2","doi-asserted-by":"publisher","DOI":"10.7326\/0003-4819-141-6-200409210-00007"},{"key":"e_1_3_7_4_2","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa0806470"},{"key":"e_1_3_7_5_2","unstructured":"Feingold KR. Dyslipidemia in diabetes. In: Feingold KR Anawalt B Blackman MR Boyce A Chrousos G Corpas E . (eds) Endotext [Internet]. South Dartmouth (MA): MDText.com Inc. 2000. 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Prevalence and determinants of peripheral neuropathy among adult type II diabetes mellitus patients attending a non-communicable disease clinic in Rural South India. Cureus 2021; 13(6). 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