Effectiveness of electroacupuncture for the treatment of long covid brain fog
Bibliographic record
Abstract
Objective: This article is aimed at demonstrating the effectiveness of electroacupuncture in treating Long COVID brain fog in 57 cases in Eastern Canada. Method: 57 patients (mean age 37, range 25-55 years, 56% female, 44% male), suffering from brain fog after a COVID-19 infection were treated with electroacupuncture using the acupoints DU20 (Baihui), DU24 (Shenting) and EX-HN1 (Sishencong), and the duration of each session was 30 minutes. The frequency of treatment was three times a week for 4 consecutive weeks. Results: After a 12-treatment course for each of the 57 patients, 48 cases were clinically cured, and 9 cases were ineffective. The rate of overall effectiveness was 84.2%. Conclusion: Electroacupuncture improved memory, concentration and attention; restored healthy function of the brain, liver, kidneys and spleen; and improved the patients’ physical condition and quality of life.
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 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 | 0.019 | 0.038 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".