Cardiometabolic & kidney

Simultaneous derivation, validation, and comparison of predictor hazard ratios for cardiovascular risk prediction equations in patients with diabetes from high versus non-high income countries: cohort study

BMJPublished Population-based cohort study

Authors' conclusion

Applying a high income country derived CVD risk prediction equation to a population from a non-high income country with diabetes may introduce systematic errors, primarily driven by differences in the effect of age.

Study context

Population
People aged 30–74 years with diabetes and no cardiovascular disease (CVD), electronic health records, New Zealand and China
Participants
47,958 vs 46,558
Exposure
NZ-derived vs China-derived 5-year CVD risk equations in diabetes
  • New Zealandn = 47,958reference
  • Chinan = 46,558
Outcome
First CVD events; predictor HRs compared between country-specific equations; performance of NZ equations in the Chinese cohort before and after recalibration and updating
Follow-up
5 years
Methodological detailsrisk prediction model derivation and validation
  • Risk prediction model derivation and validation

Main finding

As reported in the abstract

First CVD events; age HR in sex-specific equations
GroupValueAge HR, women (per 10 years)
New Zealand11.7%1.61 (95% CI 1.51 to 1.71)

New Zealand

Value11.7%
Age HR, women (per 10 years)1.61 (95% CI 1.51 to 1.71)

Observational data: associations, not effects.

Parts of this Brief are withheld: the automatic checks could not confirm them against the abstract.

Original publication

Simultaneous derivation, validation, and comparison of predictor hazard ratios for cardiovascular risk prediction equations in patients with diabetes from high versus non-high income countries: cohort study. BMJ. Published 11 September 2026. doi:10.1136/bmj-2026-100535

Composed by AI from the published abstract and checked against it. How Briefs are made →

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