The University of Southampton
University of Southampton Institutional Repository

Non-pharmacological interventions of traditional Chinese medicine in treating polycystic ovary syndrome: a group consensus

Non-pharmacological interventions of traditional Chinese medicine in treating polycystic ovary syndrome: a group consensus
Non-pharmacological interventions of traditional Chinese medicine in treating polycystic ovary syndrome: a group consensus

Background: to make a group consensus about non-pharmacological interventions of traditional Chinese medicine in treating polycystic ovary syndrome based on the previous guidelines, literature, and expert viewpoints. 

Methods: organized by Chinese Integrative Medicine & Traditional Chinese Medicine Academy, Chinese Maternal and Child Health Association, China, 29 experts from 18 Chinese provinces and 2 international experts, who specialize in gynecology, obstetrics, pediatrics, endocrinology, cardiovascular, psychology, reproductive genetics, nursing, acupuncture and tuina, traditional Chinese medicine, integrative medicine, and other disciplines, discussed and revised the recommendations one by one through in-person or online communication. Each recommendation was approved by ≥90% of the experts before it could be established. The main outcome measure is an optimal clinical regimen for addressing the requirements of women with PCOS and improving their quality of life. 

Result(s): the writing panel drafted the initial report, following a consensus process via adequate communication, which was then reviewed and revised by the consensus panel. This consensus provides 12 non-pharmacological interventions (including acupuncture, thumbtack needle, thread-embedding therapy, TEAS, AA, acupoint hot compress, cupping, acupressure, moxibustion, five elements music, aromatherapy, traditional Chinese exercises) for 8 phenotypes of PCOS, resulting in 34 items of clinical practice recommendations. 

Conclusion(s): the consensus provides 12 non-pharmacological interventions of traditional Chinese medicine for 8 phenotypes of PCOS, resulting in 34 items of clinical practice recommendations, which may be improved by more high-quality multicenter clinical trials.

Group consensus, Non-pharmacological interventions, Polycystic ovary syndrome, Traditional Chinese medicine
2213-4220
Zhou, Tianyi
58b3910e-254d-4751-affb-134895acfd9d
Wang, Fangfang
6acea372-15dd-4b74-88ac-0ee21c8a93db
Xu, Xinfen
a0a91a51-22a7-4f96-b711-5e5c9aa27acf
Zhu, Yuhang
212c944c-6241-4246-9fda-49854a4b45a5
Zhang, Rong
550847b1-ee3f-493f-92d7-ad0357e271e6
Lee, Hye Won
28573348-3f24-4b54-a571-b459048f05f6
Hu, Xiao Yang Mio
65904b24-3775-4b14-9532-eb703a056655
Qu, Fan
eda74cf4-97c5-4b83-a61c-ebef473c2726
Dai, Minchen
5696da94-59f6-4799-89fd-e1db3066af9d
He, Yijing
9697da36-6320-4111-b4b0-5e9c1843c174
Li, Xinyue
9a94152d-6279-491e-a49d-87e38e675a9e
Jin, Zhichun
4f5be4bc-4a0b-4158-a9d2-7f7608123193
Yin, Yan
6b187e56-144a-4bcb-ab9a-020777676d19
Huang, Ziming
6cbd1ad8-8711-449f-ae56-a729094d413d
Lin, Kaiqing
c32ead24-9bc0-4cc3-8fef-fe3e6f330b5b
Zhuoma, Bianba
65c46977-5bde-48d2-9c55-289124acb41c
Chen, Xiaoyong
a3d497ad-f5ca-4fca-b83a-049871638915
Chen, Mali
7ca720f9-e16a-4e0d-a84a-a8cc0d6e4307
Fan, Longlong
51e858d2-c888-4c7d-910f-2476c3c8754c
Guo, Lanzhong
db7cdee8-68d7-4593-9ba9-8472c9a54118
He, Junqin
4550410c-28e2-4706-99eb-ce12cf9ddc5c
Hou, Lili
a820c27e-bbda-4de6-bb43-1596cd25a5f7
Jin, Furui
4bc48d93-f07f-4570-b9c8-62f3a7315553
Kuang, Hongying
94c41889-4781-4735-98b1-68c8ab57015a
Lai, Yuqin
dc69c2b6-8e96-4d31-b080-88fd741d8462
Li, Yunbo
00d145d9-24a4-4a2c-ba29-7a4944249dd9
Ning, Yan
c69cb604-2766-4044-bfa4-b6506817f037
Ouyang, Ziting
0ac4e921-f015-4cc5-a39d-d598872a12a6
Pan, Mingwo
6a4140b9-ae89-45d0-b942-1e15a88cf13c
Sun, Zhengao
fbf18791-eea8-4af8-b86f-29102f1b12cc
Xu, Jinbang
de043f03-df5c-4620-aa98-2e93ea15254b
Yang, Dongxia
00175770-27bd-49db-b2c2-23609c3d6f54
Yang, Pingchun
60819c03-4473-4d9b-afe2-408bcbc14216
Zhang, Qinhua
d2c09c5b-bdef-4250-8522-52760597d5e7
Zhao, Chunmei
5287e626-0903-4022-bf06-1da9972e42a2
Zhao, Rui
503b6217-2587-4942-9646-c9b5ed34ffde
Zhao, Xiaoli
5cdb2e27-12ae-4799-8ec9-05e592857ada
Pan, Dan
39370648-9bb0-40df-80d4-de3e71c44ce4
et al.
Zhou, Tianyi
58b3910e-254d-4751-affb-134895acfd9d
Wang, Fangfang
6acea372-15dd-4b74-88ac-0ee21c8a93db
Xu, Xinfen
a0a91a51-22a7-4f96-b711-5e5c9aa27acf
Zhu, Yuhang
212c944c-6241-4246-9fda-49854a4b45a5
Zhang, Rong
550847b1-ee3f-493f-92d7-ad0357e271e6
Lee, Hye Won
28573348-3f24-4b54-a571-b459048f05f6
Hu, Xiao Yang Mio
65904b24-3775-4b14-9532-eb703a056655
Qu, Fan
eda74cf4-97c5-4b83-a61c-ebef473c2726
Dai, Minchen
5696da94-59f6-4799-89fd-e1db3066af9d
He, Yijing
9697da36-6320-4111-b4b0-5e9c1843c174
Li, Xinyue
9a94152d-6279-491e-a49d-87e38e675a9e
Jin, Zhichun
4f5be4bc-4a0b-4158-a9d2-7f7608123193
Yin, Yan
6b187e56-144a-4bcb-ab9a-020777676d19
Huang, Ziming
6cbd1ad8-8711-449f-ae56-a729094d413d
Lin, Kaiqing
c32ead24-9bc0-4cc3-8fef-fe3e6f330b5b
Zhuoma, Bianba
65c46977-5bde-48d2-9c55-289124acb41c
Chen, Xiaoyong
a3d497ad-f5ca-4fca-b83a-049871638915
Chen, Mali
7ca720f9-e16a-4e0d-a84a-a8cc0d6e4307
Fan, Longlong
51e858d2-c888-4c7d-910f-2476c3c8754c
Guo, Lanzhong
db7cdee8-68d7-4593-9ba9-8472c9a54118
He, Junqin
4550410c-28e2-4706-99eb-ce12cf9ddc5c
Hou, Lili
a820c27e-bbda-4de6-bb43-1596cd25a5f7
Jin, Furui
4bc48d93-f07f-4570-b9c8-62f3a7315553
Kuang, Hongying
94c41889-4781-4735-98b1-68c8ab57015a
Lai, Yuqin
dc69c2b6-8e96-4d31-b080-88fd741d8462
Li, Yunbo
00d145d9-24a4-4a2c-ba29-7a4944249dd9
Ning, Yan
c69cb604-2766-4044-bfa4-b6506817f037
Ouyang, Ziting
0ac4e921-f015-4cc5-a39d-d598872a12a6
Pan, Mingwo
6a4140b9-ae89-45d0-b942-1e15a88cf13c
Sun, Zhengao
fbf18791-eea8-4af8-b86f-29102f1b12cc
Xu, Jinbang
de043f03-df5c-4620-aa98-2e93ea15254b
Yang, Dongxia
00175770-27bd-49db-b2c2-23609c3d6f54
Yang, Pingchun
60819c03-4473-4d9b-afe2-408bcbc14216
Zhang, Qinhua
d2c09c5b-bdef-4250-8522-52760597d5e7
Zhao, Chunmei
5287e626-0903-4022-bf06-1da9972e42a2
Zhao, Rui
503b6217-2587-4942-9646-c9b5ed34ffde
Zhao, Xiaoli
5cdb2e27-12ae-4799-8ec9-05e592857ada
Pan, Dan
39370648-9bb0-40df-80d4-de3e71c44ce4

Zhou, Tianyi, Wang, Fangfang and Xu, Xinfen , et al. (2024) Non-pharmacological interventions of traditional Chinese medicine in treating polycystic ovary syndrome: a group consensus. Integrative Medicine Research, 13 (4), [101093]. (doi:10.1016/j.imr.2024.101093).

Record type: Article

Abstract

Background: to make a group consensus about non-pharmacological interventions of traditional Chinese medicine in treating polycystic ovary syndrome based on the previous guidelines, literature, and expert viewpoints. 

Methods: organized by Chinese Integrative Medicine & Traditional Chinese Medicine Academy, Chinese Maternal and Child Health Association, China, 29 experts from 18 Chinese provinces and 2 international experts, who specialize in gynecology, obstetrics, pediatrics, endocrinology, cardiovascular, psychology, reproductive genetics, nursing, acupuncture and tuina, traditional Chinese medicine, integrative medicine, and other disciplines, discussed and revised the recommendations one by one through in-person or online communication. Each recommendation was approved by ≥90% of the experts before it could be established. The main outcome measure is an optimal clinical regimen for addressing the requirements of women with PCOS and improving their quality of life. 

Result(s): the writing panel drafted the initial report, following a consensus process via adequate communication, which was then reviewed and revised by the consensus panel. This consensus provides 12 non-pharmacological interventions (including acupuncture, thumbtack needle, thread-embedding therapy, TEAS, AA, acupoint hot compress, cupping, acupressure, moxibustion, five elements music, aromatherapy, traditional Chinese exercises) for 8 phenotypes of PCOS, resulting in 34 items of clinical practice recommendations. 

Conclusion(s): the consensus provides 12 non-pharmacological interventions of traditional Chinese medicine for 8 phenotypes of PCOS, resulting in 34 items of clinical practice recommendations, which may be improved by more high-quality multicenter clinical trials.

Text
1-s2.0-S2213422024000738-main - Version of Record
Download (1MB)

More information

Accepted/In Press date: 18 October 2024
e-pub ahead of print date: 22 October 2024
Published date: 19 November 2024
Additional Information: Publisher Copyright: © 2024
Keywords: Group consensus, Non-pharmacological interventions, Polycystic ovary syndrome, Traditional Chinese medicine

Identifiers

Local EPrints ID: 496906
URI: http://eprints.soton.ac.uk/id/eprint/496906
ISSN: 2213-4220
PURE UUID: 462a5d5a-a77b-4c18-9e5a-a89ea142f507
ORCID for Xiao Yang Mio Hu: ORCID iD orcid.org/0000-0002-3143-7999

Catalogue record

Date deposited: 08 Jan 2025 12:41
Last modified: 10 Jan 2025 02:54

Export record

Altmetrics

Contributors

Author: Tianyi Zhou
Author: Fangfang Wang
Author: Xinfen Xu
Author: Yuhang Zhu
Author: Rong Zhang
Author: Hye Won Lee
Author: Fan Qu
Author: Minchen Dai
Author: Yijing He
Author: Xinyue Li
Author: Zhichun Jin
Author: Yan Yin
Author: Ziming Huang
Author: Kaiqing Lin
Author: Bianba Zhuoma
Author: Xiaoyong Chen
Author: Mali Chen
Author: Longlong Fan
Author: Lanzhong Guo
Author: Junqin He
Author: Lili Hou
Author: Furui Jin
Author: Hongying Kuang
Author: Yuqin Lai
Author: Yunbo Li
Author: Yan Ning
Author: Ziting Ouyang
Author: Mingwo Pan
Author: Zhengao Sun
Author: Jinbang Xu
Author: Dongxia Yang
Author: Pingchun Yang
Author: Qinhua Zhang
Author: Chunmei Zhao
Author: Rui Zhao
Author: Xiaoli Zhao
Author: Dan Pan
Corporate Author: et al.

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×