Optimized Exercise Prescription for Cancer-Related Fatigue in Breast Cancer Survivors

A 2026 systematic review and meta-analysis by Zhonglin Dai, aggregating data from 32 studies involving 2,067 breast cancer survivors. The study examines the dose-response relationship between exercise modalities and cancer-related fatigue, calculating exercise dose in METs-min/week. It was published on figshare under a CC-BY-4.0 license.

Use Cases

• Modeling dose-response relationships between exercise and fatigue based on aggregated study results
• Comparing the efficacy of different exercise modalities (aerobic, resistance, yoga) for fatigue reduction
• Informing clinical guidelines for exercise prescription using the identified optimal dose ranges
• Conducting meta-regression analyses to identify moderators like baseline fatigue severity

Strengths

• Aggregates data from 32 studies and 2,067 patients, providing a substantial evidence base
• Employs Bayesian network and dose-response meta-analyses for robust statistical modeling
• Reports specific optimal dose ranges for multiple exercise modalities (e.g., peak effect at 730 METs-min/week)

Limitations

• The primary data file is a PDF, limiting direct computational analysis of the underlying study data
• The evidence certainty for most findings is rated as low or very low by the authors
• The underlying row-level data and specific columns from the included studies are not provided

Provenance

Source

figshare

Collection Method

Systematic review and meta-analysis of published clinical studies.

Freshness

Last updated 2026-05-15 04:28:07