Type 1 diabetes

Testing methods used to predict disease progression in children with early‐stage type 1 diabetes: A systematic review and meta‐analysis

Diabet MedPublished Systematic review and meta-analysis

Authors' conclusion

The OGTT, its related tests (M120, Index60) and HbA1c predict progression to stage 3 in CYP with early-stage type 1 diabetes. Other tests, including CGM, need more evidence to support their use as predictive tests in this context.

Study context

Population
Children and young people aged ≤18 years with early-stage T1D (≥2 islet autoantibodies); median age 11.8 years (IQR 6.6–13.8)
Participants
6,866 children34 studies
Comparison
Test positivity vs negativity for predicting progression to stage 3 T1D
Outcome
Progression to stage 3 T1D (HR for test positivity)
Follow-up
Median 5 years (IQR 2-5)
Methodological detailsrandom-effects models, Hartung-Knapp-Sidik-Jonkman (HKSJ)-adjusted CIs, QUADAS-2 risk of bias, 12,923 studies identified; 285 full-text reviewed
  • Random-effects models
  • HKSJ-adjusted CIs
  • QUADAS-2 risk of bias
  • 12,923 studies identified; 285 full-text reviewed

Pooled result

As reported in the abstract

Pooled HR for progression to stage 3 T1D, by test
Fasting glucose (OGTT): pooled HR
1.40 (1.07-1.84) (95% CI)
2-h glucose (OGTT): pooled HR
3.19 (1.75-5.82) (95% CI)
M120 above median: pooled HR
6.43 (1.21-34.18) (95% CI)
Index 60, per 1-unit increase: pooled HR
3.12 (2.19-4.43) (95% CI)
HbA1c, per 1.1 mmol/mol increase: pooled HR
1.40 (1.17-1.68) (95% CI)
C-statistics
0.7-0.8

Further pooled results

Progression to stage 3 T1D · median follow-up 5 years (IQR 2-5)

Progressed to stage 3 T1D
2080 (30%)

Original publication

Testing methods used to predict disease progression in children with early‐stage type 1 diabetes: A systematic review and meta‐analysis. Diabet Med. Published 28 May 2025. doi:10.1111/dme.70077

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

Get them every week

New studies on this topic in My Week and in your Monday e-mail.

We e-mail you a sign-in link and a code. No password, no spam.