{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T09:10:17Z","timestamp":1780305017442,"version":"3.54.0"},"reference-count":25,"publisher":"SAGE Publications","issue":"6","license":[{"start":{"date-parts":[[2026,2,4]],"date-time":"2026-02-04T00:00:00Z","timestamp":1770163200000},"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":[[2026,6,1]]},"abstract":"<jats:sec>\n                    <jats:title>Background:<\/jats:title>\n                    <jats:p>To determine the correlation between time in tight range (TITR; 70\u2013140 mg\/dL) and prevalence of microvascular complications in patients with type 2 diabetes mellitus (T2DM).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>Data of 999 patients with T2DM and negative history of cardiovascular disease were analyzed. TITR was assessed using data from a continuous glucose monitoring (CGM) system. Participants were stratified into quartiles based on TITR (Q1: \u226442.6%, Q2: &gt;42.6 to \u226461.2%, Q3: &gt;61.2 to \u226473.4%, Q4: &gt;73.4%). The correlation of TITR\/microvascular complications was assessed using multivariate logistic regression analysis after adjustment for potential confounders.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>The mean TITR was 56.8\u2009\u00b1\u200922.4%, and 51.2% of participants had at least one microvascular complication. The adjusted odds ratios for any microvascular complication across increasing TITR quartiles were 1.00 (Q1 as the reference group), 0.39 (Q2; 95% confidence interval [CI]: 0.25\u20130.62), 0.45 (Q3; 95% CI: 0.28\u20130.70), and 0.30 (Q4; 95% CI: 0.19\u20130.47). This indicated that the prevalence of diabetic microvasculopathies was lower in higher TITR quartiles. Similar inverse trends were observed for retinopathy, nephropathy, and peripheral neuropathy. Each 10% increase in TITR was associated with a reduced risk of each type of diabetic microvasculopathy. Receiver operating characteristic curve analysis identified 54.3% as the optimal TITR cutoff value for the identification of microvascular complications.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions:<\/jats:title>\n                    <jats:p>Higher TITR was significantly associated with lower prevalence of microvascular complications in patients with T2DM. CGM-derived TITR is a potentially useful clinical metric for optimizing glycemic management and reducing the risk of microvascular complications.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Trial Registration Number:<\/jats:title>\n                    <jats:p>UMIN000032325.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/15209156251403563","type":"journal-article","created":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T06:31:19Z","timestamp":1770273079000},"page":"541-549","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Association of Time in Tight Range with Microvascular Complications in Japanese Patients with Type 2 Diabetes Mellitus: A Multicenter Cross-Sectional Study"],"prefix":"10.1177","volume":"28","author":[{"given":"Keiichi","family":"Torimoto","sequence":"first","affiliation":[{"name":"First Department of Internal Medicine, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yosuke","family":"Okada","sequence":"additional","affiliation":[{"name":"First Department of Internal Medicine, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan."},{"name":"Clinical Research Center, Hospital of the University of Occupational and Environmental Health, Kitakyushu, Japan."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tomoya","family":"Mita","sequence":"additional","affiliation":[{"name":"Department of Metabolism &amp; Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kenichi","family":"Tanaka","sequence":"additional","affiliation":[{"name":"First Department of Internal Medicine, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fumiya","family":"Sato","sequence":"additional","affiliation":[{"name":"Department of Metabolism &amp; Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Naoto","family":"Katakami","sequence":"additional","affiliation":[{"name":"Department of Metabolic Medicine, Osaka University Graduate School of Medicine, Osaka, Japan."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hidenori","family":"Yoshii","sequence":"additional","affiliation":[{"name":"Department of Metabolism &amp; 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