Evidence map›Paper›PMID 39617713›Full record

ArticleJournal of traditional Chinese medicine = Chung i tsa chih ying wen pan2024

International standard of Traditional Chinese Medicine techniques: clinical guidelines for dysmenorrhea (2022).

Liang Xiao, Zhang Li, Chen Junlu, D U Yuhan, Jiang Min, Fan Lijie, M A Huirong, Duan Yancang, Song Xuping, Wang Xiaohui and 1 more

Abstract read
In one paragraph

Article in Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
  2. Article
  3. Efficacy of thePakistan journal of medical sciences · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
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

11 authors.

Liang XiaoInstitute of Integrated Traditional Chinese and Western Medicine, Hebei University of Chinese Medicine, Shijiazhuang 050091, China.
Zhang LiCollege of Integrated Traditional Chinese and Western Medicine, Hebei University of Chinese Medicine, Shijiazhuang 050091, China.
Chen JunluCollege of Integrated Traditional Chinese and Western Medicine, Hebei University of Chinese Medicine, Shijiazhuang 050091, China.
D U YuhanCollege of Integrated Traditional Chinese and Western Medicine, Hebei University of Chinese Medicine, Shijiazhuang 050091, China.
Jiang MinCollege of Integrated Traditional Chinese and Western Medicine, Hebei University of Chinese Medicine, Shijiazhuang 050091, China.
Fan LijieCollege of Integrated Traditional Chinese and Western Medicine, Hebei University of Chinese Medicine, Shijiazhuang 050091, China.
M A HuirongCollege of Integrated Traditional Chinese and Western Medicine, Hebei University of Chinese Medicine, Shijiazhuang 050091, China.
Duan YancangCollege of Integrated Traditional Chinese and Western Medicine, Hebei University of Chinese Medicine, Shijiazhuang 050091, China.
Song XupingSchool of Public Health, Lanzhou University, Lanzhou 730000, China.
Wang XiaohuiSchool of Public Health, Lanzhou University, Lanzhou 730000, China.
D U HuilanCollege of Integrated Traditional Chinese and Western Medicine, Hebei University of Chinese Medicine, Shijiazhuang 050091, China.

Funding

National Key R & D Program of China: Research on the Development and Evaluation of International Standards for Traditional Chinese Medicine 2019YFC1712000
6 · The paper itself

Abstract

Dysmenorrhea is a common gynecological condition that is further divided into two categories, namely primary and secondary dysmenorrhea. Traditional Chinese Medicine (TCM) gives good clinical results for the treatment of dysmenorrhea based on the basic principles of holistic view and syndrome differentiation. However, presently, the clinical practice guidelines in TCM for dysmenorrhea treatment are required. The guideline is formulated in strict accordance with the principles of evidence-based medicine with reference to the General Principles for the Compilation of International Guidelines for Diagnosis and Treatment of Traditional Chinese Medicine Syndromes and General Principles for the Compilation of International Clinical Practice Guidelines for Traditional Chinese Medicine Diseases and accordance with the principles and methods of The Appraisal of Guidelines for Research and Evaluation in China (AGREE-China) and World Health Organization guidelines. This guideline includes clinical issues by literature search and questionnaire survey, and eight background questions and 23 prospect questions were finally created. Based on the evidence retrieval, synthesis, consideration of patient preferences and values, intervention costs, advantages, and disadvantages, recommendations are created using the Delphi method and expert consensus method. This guideline clarified the definition, diagnosis, and TCM syndrome classification for dysmenorrhea, and recommends different TCM treatments based on the level of evidence, including Chinese herbal medicine, Chinese patent medicine, acupuncture, and other auxiliary therapies. The present guideline is an international clinical practice guideline for the treatment of dysmenorrhea using TCM. This guideline will provide substantive evidence and standardized guidance for the treatment of dysmenorrhea using TCM, improve the quality and safety of medical services, and standardize diagnosis and treatment plans for dysmenorrhea.

Indexed as

Drugs, Chinese HerbalDysmenorrheaMedicine, Chinese TraditionalChinaFemaleHumansDrugs, Chinese Herbaladenomyosisdysmenorrheaendometriosismedicine, Chinese traditionalpractice guideline

Identifiers

PMID39617713
PMCPMC11589548

What OpenQuestion holds

Textmetadata
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.