DTI-ALPS Index Meta-Analysis for Type 2 Diabetes

A 2026 systematic review and meta-analysis by Yaxi Chen synthesizes findings from 7 studies involving 532 participants. It compares diffusion tensor image analysis along the perivascular space (DTI-ALPS) indices between individuals with type 2 diabetes mellitus and healthy controls. The analysis includes subgroup comparisons for uncomplicated and complicated diabetes phenotypes.

Use Cases

• Compare glymphatic-related imaging metrics between diabetic and healthy cohorts based on the DTI-ALPS index.
• Analyze heterogeneity in neuroimaging findings across different clinical phenotypes of diabetes.
• Validate the DTI-ALPS method as an indirect measure of perivascular fluid dynamics in metabolic disorders.

Strengths

• Includes 532 participants aggregated from 7 independent studies.
• Performs subgroup analyses distinguishing uncomplicated and complicated type 2 diabetes.
• Uses random-effects meta-analysis models with Hartung–Knapp–Sidik–Jonkman adjustment.

Limitations

• The dataset is a single PDF document (165.4 KB) containing a review article, not raw tabular data.
• Column-level documentation is absent; field semantics must be inferred after download.
• The number of included studies is limited (k=7), and certainty of evidence is rated as very low.

Provenance

Source

figshare

Collection Method

Systematic review and exploratory meta-analysis of published DTI-ALPS studies.

Freshness

Last updated 2026-05-21 05:42:31.