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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 source (direct Gemma or distilled Codex), 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".