Auricular Acupoint Selection Patterns for Knee Osteoarthritis Pain Relief: A Systematic Review and Data Mining Analysis.

Objective: To systematically evaluate randomized controlled trials of auricular therapy for knee osteoarthritis pain and to explore acupoint selection patterns using data mining techniques. Methods: Eleven Chinese and English databases were searched from inception to September 1, 2025. Eligible randomized controlled trials were screened and assessed for methodological quality. Descriptive statistics, frequency analysis, association rule mining, and hierarchical cluster analysis were applied to identify commonly used auricular points and their combinations. Results: Thirty-six studies involving 3,105 participants were included. Study quality was moderate, with frequent shortcomings in blinding and allocation reporting. The most frequently used acupoints were Shenmen (TF Conclusion: Auricular therapy for knee osteoarthritis pain relief shows promising patterns in acupoint selection that align with both Traditional Chinese Medicine and neurophysiological mechanisms. Despite encouraging results, interpretation should be cautious due to methodological limitations, protocol heterogeneity, and the exploratory nature of data mining. Future research should include rigorously designed, preregistered RCTs with standardized intervention protocols and transparent reporting to validate these findings and evaluate clinical effectiveness.