Evidence mapPaperPMID 40858920Full record

ArticleEndocrine2025

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.

Fernando Sebastian-Valles, Juan Javier López-Hidalgo, Silvia Cañas Sierra, Victor Navas-Moreno, Jose Alfonso Arranz Martín, Miguel Antonio Sampedro-Núñez, Mónica Marazuela

Abstract readValidation Study
In one paragraph

Article in Endocrine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Fernando Sebastian-VallesEndocrinology and Nutrition Department, Hospital Universitario de La Princesa Instituto de Investigación Sanitaria de La Princesa, Universidad Autónoma de Madrid, Madrid, Spain. Fernando.sebastian@estudiante.uam.es.
Juan Javier López-HidalgoEndocrinology and Nutrition Department, Hospital Universitario de La Princesa Instituto de Investigación Sanitaria de La Princesa, Universidad Autónoma de Madrid, Madrid, Spain.
Silvia Cañas SierraEndocrinology and Nutrition Department, Hospital Universitario de La Princesa Instituto de Investigación Sanitaria de La Princesa, Universidad Autónoma de Madrid, Madrid, Spain.
Victor Navas-MorenoEndocrinology and Nutrition Department, Hospital Universitario de La Princesa Instituto de Investigación Sanitaria de La Princesa, Universidad Autónoma de Madrid, Madrid, Spain.
Jose Alfonso Arranz MartínEndocrinology and Nutrition Department, Hospital Universitario de La Princesa Instituto de Investigación Sanitaria de La Princesa, Universidad Autónoma de Madrid, Madrid, Spain.
Miguel Antonio Sampedro-NúñezEndocrinology and Nutrition Department, Hospital Universitario de La Princesa Instituto de Investigación Sanitaria de La Princesa, Universidad Autónoma de Madrid, Madrid, Spain.
Mónica MarazuelaEndocrinology and Nutrition Department, Hospital Universitario de La Princesa Instituto de Investigación Sanitaria de La Princesa, Universidad Autónoma de Madrid, Madrid, Spain.

Funding

Instituto de Salud Carlos III PI19/00584, PI22/01404, and PMP22/00021
6 · The paper itself

Abstract

backgroundContinuous 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.

methodsA 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, 70-180 mg/dL) > 70% and time below range (TBR, <70 mg/dL) < 4%. Model performance was assessed using ROC analysis and correlation tests.

resultsOf 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 = 0.639) and significant correlations with TIR (p = 0.230, p = 0.023) and time in tight range (TITR, 70-140 mg/dL) (p = 0.271, p = 0.019). Overall accuracy was 61.9%, lower than in the original cohort. Smoking predicted non-completion (p = 0.038).

conclusionsThe 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.

Indexed as

Blood GlucoseContinuous Glucose MonitoringDiabetes Mellitus, Type 1Glycemic ControlPancreatic DiseasesAdultAgedFemaleHumansHypoglycemic AgentsInsulinMaleMiddle AgedProspective StudiesBlood GlucoseHypoglycemic AgentsInsulinContinuous glucose monitoringSocioeconomic statusTime in tight rangeType 1 diabetes

Identifiers

PMID40858920
PMCPMC12572046

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.