{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T15:56:31Z","timestamp":1786982191914,"version":"build-2736575974"},"reference-count":49,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2025,8,26]],"date-time":"2025-08-26T00:00:00Z","timestamp":1756166400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2025,8,26]],"date-time":"2025-08-26T00:00:00Z","timestamp":1756166400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100004587","name":"Instituto de Salud Carlos III","doi-asserted-by":"publisher","award":["PI19\/00584, PI22\/01404, and PMP22\/00021"],"award-info":[{"award-number":["PI19\/00584, PI22\/01404, and PMP22\/00021"]}],"id":[{"id":"10.13039\/501100004587","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Endocrine"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Continuous glucose monitoring (CGM) has improved diabetes management, yet not all patients benefit equally. We previously developed a predictive calculator using clinical and socioeconomic variables to estimate the likelihood of achieving optimal control after CGM initiation. This study prospectively validated the calculator in a real-world cohort.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A single-center prospective study included 102 adults with type 1 or pancreatic diabetes using multiple daily insulin injections, followed for three months. Optimal control was defined as time in range (TIR, 70\u2013180\u2009mg\/dL)\u2009&gt;\u200970% and time below range (TBR, &lt;70\u2009mg\/dL)\u2009&lt;\u20094%. Model performance was assessed using ROC analysis and correlation tests.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Of 102 participants, 85 completed follow-up (median age: 53.6 years; 48% women; median diabetes duration: 12.9 years; baseline HbA1c: 7.6%). Thirty-three (38.8%) achieved optimal control. The calculator showed moderate discrimination (AUC\u2009=\u20090.639) and significant correlations with TIR (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.230,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.023) and time in tight range (TITR, 70\u2013140\u2009mg\/dL) (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.271,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.019). Overall accuracy was 61.9%, lower than in the original cohort. Smoking predicted non-completion (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.038).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The calculator shows moderate accuracy in predicting glycemic control and TITR after CGM initiation. CGM adherence remains a challenge, warranting further study in publicly funded healthcare settings.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1007\/s12020-025-04385-7","type":"journal-article","created":{"date-parts":[[2025,8,26]],"date-time":"2025-08-26T15:27:05Z","timestamp":1756222025000},"page":"660-668","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Validation of a predictive calculator for optimal glycemic control and time-in-tight-range following CGM sensor placement in type 1 diabetes and pancreatic diabetes: a prospective study"],"prefix":"10.1007","volume":"90","author":[{"given":"Fernando","family":"Sebastian-Valles","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Juan Javier","family":"L\u00f3pez-Hidalgo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Silvia Ca\u00f1as","family":"Sierra","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Victor","family":"Navas-Moreno","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jose Alfonso","family":"Arranz Mart\u00edn","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Miguel Antonio","family":"Sampedro-N\u00fa\u00f1ez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M\u00f3nica","family":"Marazuela","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,8,26]]},"reference":[{"key":"4385_CR1","doi-asserted-by":"crossref","first-page":"915","DOI":"10.1016\/S2213-8587(24)00243-2","volume":"12","author":"DJ Magliano","year":"2024","unstructured":"D.J. 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