Mapping Acupoint Networks for Chronic Pelvic Pain: A Review‐Based Network Analysis of Randomized Trials
Abstract
BACKGROUND: Chronic pelvic pain (CPP) is a heterogeneous clinical condition affecting both women and men, but acupoint selection patterns across CPP-related randomized trials have not been systematically characterized. OBJECTIVE: To identify common acupoint networks used for CPP and to examine sex-stratified differences in acupoint co-occurrence patterns. METHODS: This study was a review-based secondary network analysis of randomized controlled trials included in a previously published systematic review and meta-analysis of acupuncture for CPP-related conditions. Among 17 eligible trials identified in the source review, 15 provided sufficient acupoint prescription information for network reconstruction and were included in the present analysis. The dataset comprised 8 female studies and 7 male studies. Acupoint co-occurrence networks were constructed, and eigenvector centrality was used to identify major acupoints and compare overall and sex-stratified network structures. RESULTS: In the overall network, BL32, LI4, CV4, GV20, and BL33 showed the highest eigenvector centrality values. Spatial mapping demonstrated a multiregional configuration integrating abdominal, lumbosacral, and distal limb acupoints. In female and male CPP networks, LI4 and lumbosacral back-region acupoints such as BL32, BL25, and BL33 were more central in females, whereas CV4, CV3, and lower abdominal acupoints were more central in males. CONCLUSION: This review-based network analysis identified both common and sex-stratified acupoint prescription patterns for CPP and visualized their anatomical distribution. These findings provide a structured overview of acupoint network organization in CPP and support future outcome-oriented and disease-specific acupuncture research.
Fields of Study & Subjects
Myofascial pain diagnosis and treatment
Musculoskeletal pain and rehabilitation
Gastrointestinal motility and disorders
Publication details
- Journal / source
- Pain Research and Management
- Publisher
- Wiley
- Volume
- 2026
- Issue
- 1
- Pages
- e5799642–e5799642
- Publication date
- 1 January 2026
- Language
- EN