Maxing Ganshi Soup Combined with Western Medicine Treatment of Bronchial Asthma,Randomized Parallel Group Study
Bibliographic record
Abstract
[Objective]Observe Ma Xing GanShi Tang combined with western medicine treatment of bronchial asthma treatment.[Methods]Using randomized controlled method,56 cases of inpatient / outpatient patients were randomly divided into two groups.Control group,28 cases of β2 agonist theophylline 0.2g / time,2 times / d;according to patient severity staging suck Rupumike aerosol,200 ～ 1000μg / d.Treatment group 28 cases Ma XingGan Shi Tang(Mahuang 15g,Shigao 30g,Xingren 20g,Gancao 10g);1 does / d,decoction 250 ～ 300mL,taking three times.Cold in the table to gypsum Nepeta,basil;wind chill temperature while relying on Canadian cattle next to the child,SSP;fever even add honeysuckle,Houttuynia,forsythia;constipation increased yellow;cough and bloody sputum plus blood over charcoal,cogongrass rhizome;appetite anorexia plus hawthorn,built song;kidney qi plus Guiyuan meat,walnut meat;dark purple tongue plus safflower,salvia.Western medicine with the control group.7d is a continuous course of treatment.Observation of clinical symptoms and adverse reactions.Continuous treatment of 3 courses,to determine efficacy.[Results]treatment group,20 cases markedly effective in 7 cases,1 case,the total effective rate 96.43%.Control group,10 cases markedly effective in 15 cases,3 cases,the total efficiency of 89.29%.Treatment group than the control group(P 0.05).[Conclusion]Ma XingGan Shi Tang combined with western medicine treatment of bronchial asthma,the effect is significant and should be introduced.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".