Core Acupoint Selection Strategies for Acute Musculoskeletal Pain, Bibliometric Analysis

A bibliometric analysis of 438 clinical studies on acute musculoskeletal pain, including 404 in Chinese and 34 in English, published up to October 15, 2025. The dataset, authored by Yide Fang, synthesizes research hotspots and analyzes strategies for selecting 1-3 core acupoints for treatment. It includes results from multivariate logistic regression exploring associations between treatment elements and specific pain locations.

Use Cases

• Analyzing trends in acupuncture research for musculoskeletal pain based on publication language and year.
• Identifying correlations between specific pain locations and acupoint selection strategies based on regression analysis results.
• Comparing prevalent acupuncture techniques (e.g., body acupuncture, hand acupuncture, wrist-ankle acupuncture) between Chinese and English studies.
• Investigating the association between exercise therapy and acupoint selection for conditions like low back and ankle pain.

Strengths

• Includes 438 clinical studies with a defined scope of 1-3 acupoint treatments.
• Applies both bibliometric (CiteSpace) and statistical (multivariate logistic regression) analysis methods.
• Explicitly registers as a systematic review with a PROSPERO identifier (CRD420251155446).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The English-language study sample is smaller (34 studies) compared to the Chinese sample (404 studies).

Provenance

Source

Yide Fang

Collection Method

Comprehensive literature search across eight Chinese and English databases, analyzed with CiteSpace and multivariate logistic regression.

Time Range

Studies up to October 15, 2025.

Freshness

Last updated 2026-05-07 05:44:17; freshness should be verified.