Long Term Effects of Acupuncture for Primary Dysmenorrhea: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
Objective: 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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.021 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.016 | 0.004 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".