Network Meta-Analysis of Exercise Therapies for Chronic Neck Pain

A 2025 network meta-analysis of 17 randomized controlled trials involving 1,224 patients with chronic nonspecific neck pain. The study, authored by Min Huang, compares the efficacy of 16 different exercise interventions on pain and neck function. Results are presented in a DOCX document summarizing the analysis methods, findings, and evidence quality.

Use Cases

• Comparing the relative efficacy of different exercise therapies based on the reported Neck Disability Index (NDI) and Visual Analogue Scale (VAS) outcomes.
• Informing clinical guideline development based on the network meta-analysis ranking of interventions like Muscle Energy Technique (MET) and Biofeedback-Assisted Training (BBAT).
• Assessing the quality and robustness of evidence in the field, as the description details risk of bias assessments and CINeMA evidence quality evaluation.

Strengths

• Analysis is based on 17 randomized controlled trials, a systematic evidence base.
• Includes 1,224 patient records, providing a substantive sample size for the meta-analysis.
• Uses standardized outcome measures (Neck Disability Index and Visual Analogue Scale) for comparison.
• Employs established methodological tools for risk of bias (Cochrane RoB 2.0) and evidence quality (CINeMA).

Limitations

• The dataset is a 28.9 KB DOCX summary document; the underlying trial data is not provided.
• The analysis notes limited robustness for some findings due to sparse network connections and reliance on single studies.
• Column-level documentation for any underlying data is absent; field semantics must be inferred from the report.

Provenance

Source

Author Min Huang, published on figshare.

Collection Method

Systematic review and network meta-analysis of trials from databases including PubMed, Web of Science, Embase, and Cochrane Library.

Time Range

Literature search conducted up to November 25, 2025.

Freshness

Last updated 2026-04-13 13:52:57.

Geography

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