Clinical Observation of 11 Patients with Severe Acute Respiratory Syndrome Treated with Traditional Chinese Medicine
Bibliographic record
Abstract
Background: During the outbreak of severe acute respiratory syndrome (SARS) in the Spring 2003, we employed the theory of traditional Chinese medicine (TCM) to treat patients with SARS in China-Japan Friendship Hospital. Methods: According to our clinical observation with the Pestilence theory of TCM, the progress of SARS can be divided into five stages, i.e. the latent stage, the febrile stage, the cough and asthmatic stage, the prostration stage, and the recovery stage. TCM formulae were employed for the different stages of SARS. The time of allaying fever, the average absorption day of pulmonary infiltration, and the increase in white blood cell counts were used for evaluation of the treatment. Results: For those 4 patients with fever at the time of admitting to hospital, the time of allaying fever was 2, 3, 6 and 7 days respectively after the treatment of TCM. For 11 patients, the mean absorption time of chest infiltration was 14.56±6.71 days from the range of 5 days to 25 days. In addition, after treatment with TCM, total count of white blood cells and lymphocytes were all within normal range. Conclusion: Treatment with traditional Chinese medicine can be one of the choices for patients with SARS.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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 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".