Meta-Analysis of Exercise Dose Effects on Balance and Mobility in Stroke Patients

A 2026 Bayesian network meta-analysis by Yi-Ming Li, synthesizing data from 54 randomized controlled trials. It models the nonlinear dose-response relationship between exercise and lower-limb outcomes in middle-aged and older adults with stroke. The study identifies an optimal total exercise dose of approximately 1,800–2,200 MET×min/week.

Use Cases

• Optimizing exercise prescription for stroke rehabilitation based on identified optimal dose ranges.
• Comparing modality-specific dose-response profiles (e.g., IAT, MCT, VRT) for targeted intervention planning.
• Informing clinical trial design for stroke recovery by examining plateau effects and inter-individual variability.
• Applying Bayesian network meta-analysis methods to model nonlinear relationships in clinical data.

Strengths

• Analysis is based on 54 randomized controlled trials, providing a substantial evidence base.
• Identifies a specific optimal exercise dose range of 1,800–2,200 MET×min/week.
• Distinguishes dose-response patterns for three exercise modalities: Integrated Aerobic Training, Motor Control Training, and Virtual Reality Training.

Limitations

• The primary data file is a DOCX document; underlying trial-level data or analysis code are not provided.
• Row count and column-level documentation are unknown, limiting direct data usability.
• Data freshness should be verified as the last update is listed as 2026-05-26.

Provenance

Source

figshare

Collection Method

Systematic search and Bayesian network meta-analysis of trials from PubMed, Embase, Web of Science, the Cochrane Library, and SPORTDiscus.

Freshness

Last updated 2026-05-26 06:30:49