Effectiveness of GLP ‐ 1RA according to different type 2 diabetes phenotypes: A retrospective study
Authors' conclusion
This study adds to the emerging evidence against the hard clustering approach to T2D phenotyping in terms of response to treatment and time to treatment failure, particularly with GLP-1RA.
Study context
- Population
- Individuals with T2D on GLP-1 RA attending the Endocrinology Unit, University Hospital Policlinico Consorziale, Bari, Italy, 01 January 2014–31 August 2024; phenotypes assigned by the Bello-Chavolla algorithm
- Participants
- 181 individuals
- Exposure
- GLP-1 RA effectiveness across T2D phenotypes
- Outcome
- Difference in HbA1c change from baseline among phenotypes
Methodological detailssingle-centre
- Single-centre
Main finding
As reported in the abstract
HbA1c change from baseline
SIDD
−2.6
unspecified 1.9 · %
P < 0.0001
Observational data: associations, not effects.
Further findings
Time to treatment failure (HbA1c >7.0%)
| HR (95% CI) | P value | ||
|---|---|---|---|
| SIDD | 3.69 (1.37–9.94) | P < 0.01 | |
| 0.10.31310Hazard ratio (log scale) |
- Time to treatment failure (HbA1c >7.0%): faster treatment failure with SIDD; effect disappeared after adjustment for baseline HbA1c
Predictors of HbA1c reduction
- Baseline HbA1c was the strongest predictor of HbA1c reduction
Original publication
Effectiveness of GLP ‐ 1RA according to different type 2 diabetes phenotypes: A retrospective study. Diabetes Obes Metab. Published 11 August 2025. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →