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基于复杂网络的针灸治疗卵巢储备功能下降和卵巢早衰相关性的系统评价

The correlation of acupuncture and moxibustion points for the treatment of diminished ovarian reserve and premature ovarian failure: A systematic review based on complex network.

机构信息

College of Acupuncture and Tuina, Guizhou University of Traditional Chinese Medicine, Guiyang, China.

First Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, China.

出版信息

Medicine (Baltimore). 2024 Nov 1;103(44):e40185. doi: 10.1097/MD.0000000000040185.

DOI:10.1097/MD.0000000000040185
PMID:39496037
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11537596/
Abstract

BACKGROUND

Infertility rates have risen in recent years, with diminished ovarian reserve (DOR) affecting 10% of infertile women, accounting for approximately 20% of ovarian disorders. This highlights the importance of exploring effective treatments for DOR. This study investigates acupoint compatibility rules in acupuncture and moxibustion therapies for DOR and premature ovarian failure (POF) using complex network analysis. It also provides insights into acupuncture and moxibustion approaches for managing these conditions.

METHODS

Clinical studies on acupuncture and moxibustion treatments for DOR and POF were retrieved from 5 databases, including China National Knowledge Infrastructure, SinoMed, Wanfang, CQVIP, and PubMed, covering the period from January 1, 2007, to September 15, 2024. Literature was screened based on inclusion and exclusion criteria to build a comprehensive database of acupuncture and moxibustion prescriptions for these conditions. Association rule analysis was performed using IBM SPSS Modeler 18.0, and complex network analysis was conducted with Gephi 0.9.2 software.

RESULTS

A total of 70 articles and 67 acupoints from 70 prescriptions were analyzed, with 665 occurrences of these acupoints. The most frequently used acupoint was Guanyuan (RN4), followed by Sanyinjiao (SP6), Zusanli (ST36), Shenque (RN8), Bladder 23 (BL23), and Zigong (EX-CA1). These acupoints were primarily related to the Ren (RN) and Bladder (BL) meridians. Jiaohui points, dorsal Yu points, and 5 Shu points were the most commonly utilized specific points. The combination of Sanyinjiao (SP6) and Guanyuan (RN4) had the strongest association. Complex network analysis revealed a small-world network effect, with 24 core acupoints, including Guanyuan (RN4) and Zusanli (ST36), serving as key nodes.

CONCLUSION

Acupuncture treatments for DOR and POF primarily focus on the abdomen and lower back regions. Specific acupoints, such as rendezvous points, are frequently combined with distantly located points. These combinations are guided by therapeutic principles aimed at nourishing the kidney, strengthening the spleen, regulating liver qi, calming the heart, and promoting blood circulation.

摘要

背景

近年来,不孕不育率上升,卵巢储备功能减退(DOR)影响了 10%的不孕女性,约占卵巢疾病的 20%。这凸显了探索 DOR 有效治疗方法的重要性。本研究采用复杂网络分析探讨了针灸治疗 DOR 和卵巢早衰(POF)的穴位配伍规律,并为针灸治疗这些疾病提供了思路。

方法

从中国知网、中国生物医学文献服务系统、万方、维普、PubMed 5 个数据库中检索 2007 年 1 月 1 日至 2024 年 9 月 15 日针灸治疗 DOR 和 POF 的临床研究,筛选文献并建立针灸治疗 DOR 和 POF 处方数据库。采用 IBM SPSS Modeler 18.0 进行关联规则分析,Gephi 0.9.2 软件进行复杂网络分析。

结果

共纳入 70 篇文献 70 个处方 67 个穴位,共计 665 次穴位使用频次。使用频次最高的穴位是关元(RN4),其次是三阴交(SP6)、足三里(ST36)、神阙(RN8)、膀胱俞(BL23)和秩边(EX-CA1)。这些穴位主要与任脉(RN)和膀胱经(BL)相关。交会穴、背俞穴和五输穴是最常用的特定穴。三阴交(SP6)和关元(RN4)组合的关联度最强。复杂网络分析发现存在小世界网络效应,共有 24 个核心穴位,包括关元(RN4)和足三里(ST36),是关键节点。

结论

针灸治疗 DOR 和 POF 主要集中在腹部和腰骶部。特定穴位,如交会穴,常与远道穴位结合使用。这些组合是基于补肾、健脾、调肝、宁心、活血等治疗原则进行的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7921/11537596/8dcb1cb86668/medi-103-e40185-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7921/11537596/46b958029093/medi-103-e40185-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7921/11537596/bde987bff674/medi-103-e40185-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7921/11537596/6b50220ded79/medi-103-e40185-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7921/11537596/3bffcf9e7a80/medi-103-e40185-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7921/11537596/8dcb1cb86668/medi-103-e40185-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7921/11537596/46b958029093/medi-103-e40185-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7921/11537596/bde987bff674/medi-103-e40185-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7921/11537596/6b50220ded79/medi-103-e40185-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7921/11537596/3bffcf9e7a80/medi-103-e40185-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7921/11537596/8dcb1cb86668/medi-103-e40185-g005.jpg

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