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Objectives <p>To analyze and generalize the pattern of acupuncture point selection for the treatment of tubal infertility by employing data mining techniques.</p> Methods <p>A search was conducted for the relevant literature on acupuncture for tubal infertility included in four Chinese databases and three English databases up to July 22, 2024. The relevant information was extracted and descriptive analyses were performed on acupuncture methods, high-frequency acupoints, meridian attribution, and acupoints distribution. In addition, SPSS Modeler 18.0 Apriori algorithm, Cytoscape 3.9.1, and SPSS 27 were utilized for association rule analysis, high-frequency acupoint co-occurrence, and cluster analysis.</p> Results <p>Ninety-one studies involving 56 acupoints were included. The most frequently utilized acupoints were Guanyuan (CV4), Sanyinjiao (SP6), Zigong (EX-CA1), Zhongji (CV3), and Qihai (CV6). The acupoints were primarily located on the Conception Vessel, the Spleen Meridian of Foot Taiyin and the Stomach Meridian of Foot Yangming, distributed across the abdomen, lower limbs, and lumbar regions. The specific acupoints with the highest usage frequency were the Crossing points. The core prescription consisted of Guanyuan (CV4)–Sanyinjiao (SP6)–Zigong (EX-CA1)–Zhongji (CV3)–Qihai (CV6). The more frequently employed acupoint pairings were Sanyinjiao (SP6)–Guanyuan (CV4), Sanyinjiao (SP6)–Zigong (EX-CA1), Sanyinjiao (SP6)–Zhongji (CV3) and Guanyuan (CV4)–Zhongji (CV3).</p> Conclusions <p>Acupuncture for tubal infertility demonstrates flexible, diverse approaches often supplemented with traditional Chinese medicine. Most of the acupoints are selected locally from the abdomen and from the meridians of the spleen and stomach in the distal lower limbs. The core acupoints and their combination derived from data mining may serve as a preliminary reference for clinical application. However, their efficacy and safety require further validation through well-designed randomized controlled trials and mechanistic studies.</p> Graphical Abstract <p></p>

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Acupoints for Tubal Infertility: A Literature Review Based on Data Mining Technology

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年7月23日

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  • Liu Yanan,
  • Shen Siyuan,
  • Wei Yi,
  • Fang Yigong,
  • Du Ruosang

摘要

Objectives

To analyze and generalize the pattern of acupuncture point selection for the treatment of tubal infertility by employing data mining techniques.

Methods

A search was conducted for the relevant literature on acupuncture for tubal infertility included in four Chinese databases and three English databases up to July 22, 2024. The relevant information was extracted and descriptive analyses were performed on acupuncture methods, high-frequency acupoints, meridian attribution, and acupoints distribution. In addition, SPSS Modeler 18.0 Apriori algorithm, Cytoscape 3.9.1, and SPSS 27 were utilized for association rule analysis, high-frequency acupoint co-occurrence, and cluster analysis.

Results

Ninety-one studies involving 56 acupoints were included. The most frequently utilized acupoints were Guanyuan (CV4), Sanyinjiao (SP6), Zigong (EX-CA1), Zhongji (CV3), and Qihai (CV6). The acupoints were primarily located on the Conception Vessel, the Spleen Meridian of Foot Taiyin and the Stomach Meridian of Foot Yangming, distributed across the abdomen, lower limbs, and lumbar regions. The specific acupoints with the highest usage frequency were the Crossing points. The core prescription consisted of Guanyuan (CV4)–Sanyinjiao (SP6)–Zigong (EX-CA1)–Zhongji (CV3)–Qihai (CV6). The more frequently employed acupoint pairings were Sanyinjiao (SP6)–Guanyuan (CV4), Sanyinjiao (SP6)–Zigong (EX-CA1), Sanyinjiao (SP6)–Zhongji (CV3) and Guanyuan (CV4)–Zhongji (CV3).

Conclusions

Acupuncture for tubal infertility demonstrates flexible, diverse approaches often supplemented with traditional Chinese medicine. Most of the acupoints are selected locally from the abdomen and from the meridians of the spleen and stomach in the distal lower limbs. The core acupoints and their combination derived from data mining may serve as a preliminary reference for clinical application. However, their efficacy and safety require further validation through well-designed randomized controlled trials and mechanistic studies.

Graphical Abstract