The Effectiveness of Acupuncture in The Treatment of Post COVID-19 Condition: A Retrospective Study
Bibliographic record
Abstract
Objective: To demonstrate the effectiveness and safety of acupuncture in the treatment of post COVID-19 condition (also called long COVID) in 85 cases in eastern Canada. Method: The condition of 85 patients with long COVID was analyzed retrospectively based on their clinical symptoms, diagnosis and classification. 85 cases were divided into 4 categories according to the main symptoms. The number and percentage of clinical symptoms were shortness of breath and general fatigue (35 cases, 41%); body pain (26 cases, 31%); brain fog (17 cases, 20%); and irregular menstrual cycle (7 cases, 8%). 85 patients received acupuncture weekly for 8 to 12 consecutive weeks (from June 2020 to Dec 2021), to tonify lung and kidney qi and strengthen spleen and stomach qi. The acupuncture points used were on the meridians of lung, kidney, spleen, stomach, bladder, the Ren (Conception) and the Du (Governing). Results: Of the 85 patients, 72 cases were clinically cured, and 13 cases were ineffective. The rate of overall effectiveness was 85%. Conclusions: Acupuncture restored the healthy functioning of the lungs, kidney, spleen and brain; significantly decreased the symptoms of post COVID-19 condition; improved the patient's physical condition and quality of life; and enabled patients to go back to work.
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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 | 0.008 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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) | 0.000 | 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".