Identifying Predictors of Early Treatment Intensification in Individuals With Type 2 Diabetes Treated With <scp>GLP</scp> ‐1 Receptor Agonists: A Machine Learning–Based Analysis of a Large Real World Cohort
Explainable AI identified a reproducible phenotype of patients associated with early intensification after GLP-1 RA initiation. These models may support earlier, more personalised treatment decisions in routine diabetes care.
Authors
- Federico Pisani (ORCID: https://orcid.org/0000-0001-8125-8553)
- Marco Muselli (ORCID: https://orcid.org/0000-0002-9999-2331)
- Rita Zilich (ORCID: https://orcid.org/0000-0002-4590-9395)
- Fabio Baccetti (ORCID: https://orcid.org/0000-0002-0008-1336)
- Damiano Verda (ORCID: https://orcid.org/0000-0001-9912-3454)
- Pierpaolo Falcetta (ORCID: https://orcid.org/0000-0002-3182-0453)
- Enrica Salomone
- Walter Baronti (ORCID: https://orcid.org/0000-0002-4532-3028)
- Alessandro Ozzello (ORCID: https://orcid.org/0000-0002-0876-5134)
- Paola Ponzani (ORCID: https://orcid.org/0000-0002-0961-0302)
- Lelio Morviducci
- Riccardo Candido
- Nicoletta Musacchio
- Antonio Rossi (ORCID: https://orcid.org/0000-0002-8660-2146)
Institutions
- University of Trieste (IT)
- University of Milan (IT)
- Diabetes Australia (AU)
- Royal University of Law and Economics (KH)
- Milano Metropoli Development Agency (IT)
- Rare Partners (Italy) (IT)
- Istituto Clinico Sant'Ambrogio (IT)
- Ospedale di Santo Spirito (IT)
- Ospedale Misericordia - Grosseto (IT)
- Associazione Medici Diabetologi (IT)
- Azienda Usl Toscana Centro (IT)
Publication Details
- Journal
- Diabetes Obesity and Metabolism
- Published
- 2026-03-09
- DOI
- https://doi.org/10.1111/dom.70648
- Primary Topic
- Diabetes Treatment and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00