Type 2 & other diabetes

Prescribing Trajectories in Type 2 Diabetes in the United States, 2019–2024

Diabetes Obes MetabPublished Retrospective cohort study

Authors' conclusion

Data-driven clustering of longitudinal EHR medication data identifies substantial heterogeneity in real-world T2D treatment trajectories. Differences in the timing and adoption of newer therapies were observed across demographic groups

Study context

Population
Adults newly diagnosed with T2D who initiated their first glucose-lowering medication in the first half of 2019, TriNetX Research Network, followed 2019–2024
Participants
9,327 adults
Outcome
Prescribing trajectory cluster membership; adjusted longitudinal changes in BMI and HbA1c; associations between cluster membership and patient characteristics (multivariable logistic regression)
Methodological detailsnationwide electronic health record (EHR) data, hierarchical agglomerative clustering
  • Nationwide EHR data
  • Hierarchical agglomerative clustering

Main finding

As reported in the abstract

Prescribing trajectory clusters
Distinct prescribing trajectory clusters, grouped into monotherapy, dual therapy, complex therapy, variant therapy and GLP-1 RA-based trajectories
30

Observational data: associations, not effects.

Further findings

OutcomeOR (95% CI)
Membership of early GLP-1 RA transition trajectories by race/ethnicityAsianvs Non-Hispanic White0.40 (0.23–0.63)
Membership of early GLP-1 RA transition trajectories by race/ethnicityHispanicvs Non-Hispanic White0.57 (0.40–0.79)

GLP-1 RA-based trajectories

GLP-1 RA-based trajectory clusters
11
Substantial within-group reductions in body mass index (BMI) and haemoglobin A1c (HbA1c); generally higher baseline BMI; most commonly transitions following metformin
GLP-1 RA prescribing more frequent among younger patients and those with higher baseline BMI

Original publication

Prescribing Trajectories in Type 2 Diabetes in the United States, 2019–2024. Diabetes Obes Metab. Published 17 June 2026. doi:10.1111/dom.71013

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