Evidence map›Paper›PMID 35426052›Full record

SynthesisChinese journal of integrative medicine2023

Effectiveness and Safety of Chinese Medicine at Shenque (CV 8) for Primary Dysmenorrhea: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Li-Jiao Yan, Min Fang, Si-Jia Zhu, Zhi-Jie Wang, Xiao-Yang Hu, Shi-Bing Liang, Dou Wang, Dan Yang, Chen Shen, Nicola Robinson and 1 more

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Chinese journal of integrative medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 22% of its field
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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. 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 at 5 institutions in 2 countries.

Li-Jiao YanCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China.
Min FangCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China.
Si-Jia ZhuCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China.
Zhi-Jie WangCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China.
Xiao-Yang HuPrimary Care and Population Sciences, Faculty of Medicine, University of Southampton, Southampton, SO16 5ST, UK.
Shi-Bing LiangCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China.
Dou WangSchool of Nursing, Beijing University of Chinese Medicine, Beijing, 100029, China.
Dan YangDepartment of Nursing, Beijing Friendship Hospital, Beijing, 100050, China.
Chen ShenCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China.
Nicola RobinsonCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China.
Jian-Ping LiuCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China. Liujp@bucm.edu.cn.
Beijing University of Chinese Medicine · CNBeijing Friendship Hospital · CNLondon South Bank University · GBShanxi Province Hospital of Traditional Chinese Medicine · CNUniversity of Southampton · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrimary dysmenorrhea (PD) is the most common complaint associated with menstruation and affects up to three-quarters of women at some stage of their reproductive life. In Chinese medicine, navel therapy, treatment provided at Shenque (CV 8), is used as a treatment option for PD.

objectiveTo evaluate the effect of navel therapy on pain relief and quality of life in women with PD, compared with Western medicine (WM).

methodsChina National Knowledge Infrastructure (CNKI), Chinese Scientific Journal Database (VIP), SinoMed and Wanfang Database, MEDLINE, the Cochrane Library, Embase, Web of Science, and the International Clinical Trial Registry of the U.S. National Institutes of Health were searched from their inceptions to April 1, 2021. Randomized controlled trials (RCTs) assessing therapeutic effects of navel therapy on PD were eligible for inclusion. RevMan 5.4 software was used for data analyses. The certainty of the evidence was assessed using the online GRADEpro tool.

resultsTotally 24 RCTs involving 2,614 participants were identified. Interventions applied to acupuncture point CV 8 included: herbal patching, moxibustion or combined navel therapy (using at least 2 types of stimulation). Compared to placebo, there was a significant effect in favor of navel therapy on reducing overall menstrual symptom scores at the end of treatment [mean difference: -0.82, 95% confidence interval (CI): -1.00 to -0.64, n=90; 1 RCT]. As compared with Western medicine, navel therapy had a superior effect on pain intensity as assessed by Visual Analogue Scale at the end of treatment [standardized mean difference (SMD): -0.64, 95% CI: -1.22 to -0.06, I

conclusionsNavel therapy appears to be more effective than Western medicine in decreasing menstrual pain and improving overall symptoms of PD. However, these findings need to be confirmed by well-designed clinical trials with adequate sample size (Systematic review registration at PROSPERO, No. CRD42021240350).

Indexed as

DysmenorrheaMoxibustionFemaleHumansMedicine, Chinese TraditionalPain ManagementRandomized Controlled Trials as TopicUnited Statesmeta-analysisnavel therapyprimary dysmenorrheaquality of lifeShenquesystematic review

Identifiers

PMID35426052
OpenAlexW4224048558

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.