Effectiveness of electro-acupuncture for the treatment of long covid menstrual irregularities
Bibliographic record
Abstract
Objective: This article is aimed at demonstrating the effectiveness of electro-acupuncture in treating post-COVID-19 menstrual irregularities in 40 cases in eastern Canada. Method: 40 patients suffering from irregular menstruation after a Covid-19 infection were divided into 3 groups according to their main symptoms and were treated with electro-acupuncture using the acupoints Tianshu (ST25), Zigong (EX-CA1), Sanyinjiao (SP6) and Xuehai (SP10). Results: After treatment once a week over a course of 12 treatments, of the 40 patients, 33 cases were clinically cured, and 7 cases were ineffective. The rate of overall effectiveness was 82.5%. Conclusion: Electro-acupuncture regulated the menstrual cycle; restored the healthy functioning of the liver, kidneys and spleen; and the patient’s physical condition and quality of life improved.
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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 | 0.024 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".