Bayesian Dose-Response Meta-Analysis of Exercise for Post-Stroke Balance

A supplementary document from a Bayesian network meta-analysis investigating the dose-response relationship between exercise and balance improvement in stroke survivors. The analysis includes 42 randomized controlled trials, with results standardized using MET-min/week and Hedges' g effect sizes. The document was authored by Chunbai Xue Yang and uploaded to figshare in April 2026.

Use Cases

• Modeling non-linear dose-response curves for exercise interventions based on MET-min/week data.
• Comparing the efficacy of exercise modalities like resistance, aerobic, and water-based training for post-stroke balance.
• Estimating minimum effective doses and peak benefit ranges for clinical program design.
• Applying Bayesian meta-analytic methods to synthesize evidence from heterogeneous clinical trials.

Strengths

• Analysis is based on 42 randomized controlled trials, providing a substantial evidence base.
• Results include specific quantitative estimates, such as a minimum effective dose of ~270 MET-min/week and peak dose regions for different modalities.
• The document is openly licensed under CC-BY-4.0, permitting reuse and redistribution.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The primary data format is DOCX, which may require conversion for computational analysis.

Provenance

Source

figshare

Collection Method

Systematic review and Bayesian meta-analysis of trials from PubMed/MEDLINE, Embase, Web of Science, Scopus, CENTRAL, and Chinese databases.

Time Range

Trials from database inception to December 31, 2025.

Freshness

Last updated 2026-04-13 04:31:16.

Geography

Likely global, as the search included international and major Chinese databases.