Predicting Time in Range Without Hypoglycaemia Using a Risk Calculator for Intermittently Scanned <scp>CGM</scp> in Type 1 Diabetes
Clinical and socio-economic factors significantly influence OGC in type 1 diabetes. The application of statistical models offers a reliable means of predicting the likelihood of achieving OGC following isCGM system implementation.
Authors
- Miguel Sampedro‐Núñez (ORCID: https://orcid.org/0000-0002-0089-4046)
- Fernando Sebastián‐Valles (ORCID: https://orcid.org/0000-0002-4127-0483)
- Julia Martínez‐Alfonso (ORCID: https://orcid.org/0000-0001-8241-0537)
- Jessica Jiménez‐Díaz (ORCID: https://orcid.org/0000-0002-8516-2695)
- José Alfonso Arranz Martín (ORCID: https://orcid.org/0000-0002-0140-1522)
- Teresa Armenta Joya
- Mónica Marazuela (ORCID: https://orcid.org/0000-0003-1158-9618)
- Carmen González‐Ávila (ORCID: https://orcid.org/0009-0000-6648-0340)
- Iñigo Hernando Alday
- Vicente Martínez‐Vizcaíno (ORCID: https://orcid.org/0000-0001-6121-7893)
- Luis Eduardo Lander Lobariñas
- Víctor Navas-Moreno (ORCID: https://orcid.org/0009-0001-8138-4178)
- María García
- Gisela Liz Román Gómez
- Jon Garai Hierro
- Purificación de Martinez de Icaya
Institutions
- Universidad Autónoma de Chile (CL)
- Hospital de Basurto (ES)
- Hospital Universitario de La Princesa (ES)
- Hospital Universitario Severo Ochoa (ES)
- Hospital Universitario Infanta Leonor (ES)
- Universidad Autónoma de Madrid (ES)
- University of Castilla-La Mancha (ES)
Publication Details
- Journal
- Endocrinology Diabetes & Metabolism
- Published
- 2024-12-24
- DOI
- https://doi.org/10.1002/edm2.70020
- Citations
- 1
- Primary Topic
- Diabetes Management and Research
- Type
- article
- Field-Weighted Citation Impact
- 0.36
Funders
- Comunidad de Madrid
- Instituto de Salud Carlos III
- European Regional Development Fund