Meta-Analysis of Exercise Effects on Lung Cancer Patient Outcomes

32 randomized controlled trials were analyzed to assess the impact of exercise on lung cancer patients. The meta-analysis, conducted by Jiangxin Guo and published in 2026, found exercise significantly improved quality of life, fatigue, anxiety, depression, and pain, with greater effects linked to high adherence to ACSM guidelines. The underlying data likely contains pooled standardized mean differences and confidence intervals for these outcomes.

Use Cases

• Training models to predict the effect size of exercise interventions on fatigue based on adherence level
• Analyzing subgroup differences in treatment efficacy for pain and quality of life outcomes
• Benchmarking new clinical trial results against the pooled effect sizes for anxiety and depression
• Conducting sensitivity analyses on meta-analytic results using the reported standardized mean differences

Strengths

• Analysis is based on 32 randomized controlled trials, providing a substantial evidence base
• Results include specific standardized mean differences and 95% confidence intervals for multiple outcomes like quality of life (SMD=0.44) and fatigue (SMD=-0.50)
• Study quality was assessed using the revised Cochrane Risk of Bias tool (RoB 2)

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download
• The dataset is very small (20.3 KB), indicating limited raw data scope, likely containing summary statistics only

Provenance

Source

Author: Jiangxin Guo. Platform: figshare.

Collection Method

Systematic review and meta-analysis of RCTs identified from PubMed, Embase, Web of Science, and Cochrane Library.

Time Range

Temporal coverage of the included studies is not specified.

Freshness

Last updated 2026-04-15 10:56:05

Geography

Spatial coverage of the included studies is not specified.