Evidence map›Paper›PMID 40385355›Full record

ReviewFrontiers in endocrinology2025

Traditional Chinese medicine treatment strategies for primary dysmenorrhea.

Wenwen Duan, Dan Chen, Dan Li, Yue Zeng, Shanshan Liu, Zubo Huang, Chao Wang, Hao Zhou

Abstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Wenwen DuanAcupuncture and Tuina School, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Dan ChenAcupuncture and Tuina School, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Dan LiAcupuncture and Tuina School, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Yue ZengSichuan Clinical Research Center for Sub-Health, Sichuan Integrative Medicine Hospital, Chengdu, China.
Shanshan LiuSichuan Clinical Research Center for Sub-Health, Sichuan Integrative Medicine Hospital, Chengdu, China.
Zubo HuangSichuan Clinical Research Center for Sub-Health, Sichuan Integrative Medicine Hospital, Chengdu, China.
Chao WangSichuan Clinical Research Center for Sub-Health, Sichuan Integrative Medicine Hospital, Chengdu, China.
Hao ZhouSichuan Clinical Research Center for Sub-Health, Sichuan Integrative Medicine Hospital, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Primary dysmenorrhea is a common disease in women. China, under the influence of their philosophical wisdom, has developed unique theories of common clinical disorders and corresponding therapeutic cultural practices, including the application of unique medical wisdom to the treatment of primary dysmenorrhea. The article reviews the current Traditional Chinese medicine treatment strategies for primary dysmenorrhea, including acupuncture, moxibustion, acupoint application, diet improvement, and lifestyle adjustment. This article also analyzes the benefits and potential mechanisms of these treatments. Finally, this study highlights future directions for dysmenorrhea treatment, including ongoing research and potential new treatment modalities. This review aims to guide healthcare providers in developing the personalized treatment strategies for patients with primary dysmenorrhea and promote a more harmonious doctor-patient relationship.

Indexed as

DysmenorrheaMedicine, Chinese TraditionalAcupuncture TherapyFemaleHumansMoxibustionbiomolecular mechanismprimary dysmenorrheatraditional Chinese medicinetreatment strategieswomen’s health

Identifiers

PMID40385355
PMCPMC12081265

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.