Bayesian Network Meta-Analysis of Non-Drug Interventions for Chronic Low Back Pain

A systematic review and Bayesian network meta-analysis comparing the effectiveness of nine non-pharmacological interventions for pain, anxiety, and depression in chronic low back pain patients. The analysis includes 24 randomized controlled trials with 1,828 participants, sourced from databases including PubMed and Cochrane up to June 2025. The study was conducted by Lei Chen and registered with PROSPERO (CRD420251066414).

Use Cases

• Compare treatment effect sizes for pain relief based on standardized mean differences (SMD) reported for mind-body exercises and structured exercise.
• Analyze heterogeneity in treatment outcomes for depression and anxiety based on reported I² statistics (70.64% and 66.08%).
• Inform clinical decision-making for non-drug therapies based on the Bayesian network meta-analysis of nine intervention types.
• Validate meta-regression findings on factors like number of interventions influencing pain outcomes.

Strengths

• Analysis is based on 24 randomized controlled trials involving 1,828 participants, providing a substantive evidence base.
• Employs a Bayesian random-effects model and reports effect sizes with 95% credible intervals, adjusting with Hedges' g.
• Includes comprehensive sensitivity, subgroup, and regression analyses to explore heterogeneity and influencing factors.
• Prospectively registered in PROSPERO (CRD420251066414), enhancing methodological transparency.

Limitations

• The underlying dataset is a PDF document (8.9 MB); column-level documentation and raw data are unavailable for direct computational analysis.
• Considerable heterogeneity was observed across outcome measures (e.g., 86.24% for pain), suggesting variability in the included studies.
• Row count and structured data format are unknown, limiting suitability for direct machine learning applications without significant extraction effort.

Provenance

Source

Lei Chen via figshare.

Collection Method

Systematic review and Bayesian network meta-analysis of randomized controlled trials collected from eight databases including PubMed, Embase, and Cochrane Library.

Time Range

Literature search conducted up to June 2025.

Freshness

Last updated 2026-04-20 11:17:36.