Type 2 & other diabetes

Can earlier biomarker measurements explain a treatment effect on diabetes incidence? A robust comparison of five surrogate markers

BMJ Open Diabetes Res CarePublished Secondary analysis of the Diabetes Prevention Program randomised trial

Authors' conclusion

These data suggest that, of the five examined surrogate markers, glucose and HOMA-IR were the superior surrogate markers in terms of PTE, compared with 2-hour glucose, HbA1c, and TyG index.

Study context

Population
Diabetes Prevention Program participants
Participants
1,023 vs 1,030
Comparison
Five surrogate markers (1-year change) in explaining the effect of lifestyle intervention vs placebo on T2D incidence
  • Lifestyle interventionn = 1,023
  • Placebon = 1,030reference
Primary endpoint
Proportion of treatment effect explained (PTE) on T2D incidence by 1-year change in HbA1c, fasting glucose, 2-hour postchallenge glucose, TyG index and HOMA-IR
Follow-up
2, 3, and 4 years after treatment initiation
Methodological detailsRobust model-free estimate of PTE
  • Robust model-free estimate of PTE

Primary result

As reported in the abstract

PTE by surrogate marker · 2 years
PTE, fasting glucose (highest)
80.1%
PTE, homeostatic model assessment of insulin resistance (HOMA-IR)
77.7%
PTE, 2-hour glucose
76.2%
PTE, hemoglobin A1c (HbA1c)
74.6%
PTE, TyG index (smallest)
70.3%

Original publication

Can earlier biomarker measurements explain a treatment effect on diabetes incidence? A robust comparison of five surrogate markers. BMJ Open Diabetes Res Care. Published 31 October 2023. doi:10.1136/bmjdrc-2023-003585

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