Development of a three-dimensional scoring model for the assessment of continuous glucose monitoring data in type 1 diabetes
Our scoring model captures the complexity of CGM data and can identify both the most alarming dimension of glycemia and the individuals in most urgent need of assistance. This could become a valuable tool for population management at diabetes clinics to enable healthcare providers to stratify care to the patients in greatest need of clinical attention.
Authors
- Daniel Espes (ORCID: https://orcid.org/0000-0001-8843-7941)
- Henrik Hill (ORCID: https://orcid.org/0000-0003-3549-5093)
- Per‐Ola Carlsson (ORCID: https://orcid.org/0000-0002-7666-073X)
- Sergiu‐Bogdan Catrina (ORCID: https://orcid.org/0000-0002-6914-3902)
- José Caballero-Corbalán (ORCID: https://orcid.org/0000-0003-1077-2488)
- Markus Lundgren (ORCID: https://orcid.org/0000-0001-6394-7689)
- Lars Cederblad
- Jeanie Dawnbringer
Institutions
- Uppsala University (SE)
- Lund University (SE)
- Kristianstad University (SE)
- Diabetes Australia (AU)
- Science for Life Laboratory (SE)
- Abisko Scientific Research Station (SE)
- Karolinska Institutet (SE)
Publication Details
- Journal
- BMJ Open Diabetes Research & Care
- Published
- 2024-09-01
- DOI
- https://doi.org/10.1136/bmjdrc-2024-004350
- Citations
- 1
- Primary Topic
- Diabetes Management and Research
- Type
- article
- Field-Weighted Citation Impact
- 0.36
Funders
- Regionala Forskningsrådet Uppsala/Örebro
- Göran Gustafssons Stiftelse för Naturvetenskaplig och Medicinsk Forskning
- Norges Forskningsråd
- Akademiska Sjukhuset
- Magnus Bergvalls Stiftelse
- Stiftelsen Familjen Ernfors Fond
- Uppsala Universitet