Meta-Analysis of Exercise Effects on Lung Cancer Patients, 32 Studies

A systematic review and meta-analysis of 32 randomized controlled trials investigating the impact of exercise on lung cancer patients. The dataset, published by Jiangxin Guo on figshare in April 2026, compares outcomes like quality of life, fatigue, and pain between interventions with high and low adherence to ACSM guidelines. It includes pooled standardized mean differences and confidence intervals for key patient-reported outcomes.

Use Cases

• Training predictive models for exercise intervention efficacy based on adherence levels described in the meta-analysis.
• Benchmarking clinical outcomes for lung cancer patients against the pooled effect sizes for quality of life and symptom burden.
• Conducting secondary analysis on subgroup differences (e.g., high vs. low adherence) for fatigue and pain relief.
• Validating systematic review methodologies using the documented risk of bias and publication bias assessments.

Strengths

• Includes results from 32 randomized controlled trials, providing a substantial evidence base.
• Quantifies effects with standardized mean differences and 95% confidence intervals for multiple outcomes (e.g., SMD=0.44 for quality of life).
• 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 (12.2 KB), indicating it likely contains summary statistics rather than raw trial data.
• Description metadata is limited; actual data structure and completeness require manual inspection.

Provenance

Source

Jiangxin Guo via figshare.

Collection Method

Systematic search across PubMed, Embase, Web of Science, and Cochrane Library; meta-analysis using random-effects models.

Time Range

Temporal coverage of the included studies is not specified.

Freshness

Last updated 2026-04 15 10:56:03; freshness should be verified.

Geography

Spatial coverage is not specified.