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Record W7090618546

Long Term Effects of Acupuncture for Primary Dysmenorrhea: A Systematic Review and Meta-Analysis

2025· article· en· W7090618546 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2025
Typearticle
Languageen
FieldMedicine
TopicMenstrual Health and Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsAcupunctureRandomized controlled trialInclusion and exclusion criteriaBeijingOdds ratioAlternative medicineVisual analogue scaleChina
DOInot available

Abstract

fetched live from OpenAlex

Xinyu Shen,1,2,* Sixing Liu,3,* He Chen,2 Wei Wang,1,2 Jiufei Fang,2 Zhishun Liu2 1Graduate College, Beijing University of Chinese Medicine, Beijing, People’s Republic of China; 2Department of Acupuncture, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, People’s Republic of China; 3School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, People’s Republic of China*These authors contributed equally to this workCorrespondence: Zhishun Liu, Department of Acupuncture, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, No. 5 Beixiange St., Xicheng District, Beijing, 100053, People’s Republic of China, Tel +8613651016313, Email zhishunjournal@163.comObjective: Primary dysmenorrhea (PD) is a recurrent disease. The current treatments for PD often fail to provide long-lasting effects, underscoring the necessity for new treatment options that can offer durable benefits. Previous studies have indicated that the durable effect of acupuncture for PD remains uncertain. In this review, we aimed to evaluate the durable effect after completion of treatment.Methods: Both English and Chinese literature were comprehensively retrieved from eight databases up to January 24, 2025. Two independent reviewers conducted screening and data extraction. The risk of bias was evaluated using the Cochrane Risk of Bias 2.0 tool. Meta-analysis was conducted where applicable. Pooled continuous data were expressed as mean differences (MD) and the safety outcomes were expressed through odds ratio (OR).Results: Fourteen randomized controlled trials enrolled 970 patients met the inclusion and exclusion criteria. Acupuncture outperformed no intervention in reducing pain intensity measured by visual analogue scale (VAS) (MD − 47.80; 95% CI − 48.63 to − 46.97; p < 0.0001) and Short-Form McGill Pain Questionnaire (MD − 8.55; 95% CI − 11.46 to − 5.64; p < 0.0001), Cox Menstrual Symptom Scale (CMSS) duration score (MD − 18.24; 95% CI − 22.39 to − 14.09; p < 0.0001) and severity score (MD − 12.96; 95% CI − 16.41 to − 9.51; p < 0.0001) at 3 menstrual cycles post-treatment. Compared to non-steroidal anti-inflammatory drugs (NSAIDs), acupuncture showed superior pain relief measured by VAS (MD − 29.89; 95% CI − 37.63 to − 22.15; p < 0.0001), and symptom amelioration measured by CMSS (MD − 3.00; 95% CI − 5.92 to − 0.08; p = 0.0043) at 3 cycles post-treatment. Acupuncture also enhanced NSAIDs’ analgesic effect measured by VAS (MD − 19.95; 95% CI − 24.23 to − 15.66; p < 0.0001). However, acupuncture presented no superiority over sham acupuncture at 3 menstrual cycles post-treatment.Conclusion: Acupuncture might provide durable post-treatment effects to primary dysmenorrhea patients up to three menstrual cycles, which was limited by high risk of bias and low certainty evidence.Keywords: acupuncture, long term effects, meta-analysis, primary dysmenorrhea, systematic review

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.860
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0060.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.204
GPT teacher head0.578
Teacher spread0.374 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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