Evaluation of the hot and cold characteristics of seven antiarrhythmic drugs by cytological method
Bibliographic record
Abstract
Objective: To evaluate the hot and cold characteristics of 7 antiarrhythmic drugs.Methods: MTT assay was used to investigate the effect of 7 antiarrhythmic drugs on the growth and proliferation of SMMC7721 cells and MFC-7 cells in vitro.Morphological changes were observed with inverted microscope.Results: Diltiazem hydrochloride,verapamil hydrochloride,amiodarone hydrochloride,propafenone hydrochloride showed cold or cool characteristics,and metoprolol tartrate,bisoprolol fumarate,carvedilol showed hot or warm characteristics.Morphological observation demonstrated that cells treated with diltiazem hydrochloride,verapamil hydrochloride,amiodarone hydrochloride,propafenone hydrochloride showed lower cell density and rounder pyknosis.The cells treated with metoprolol tartrate,bisoprolol fumarate,carvedilol showed higher cell density,tighter cell structure and more vigorous growth.Conclusion: The cytological method could be used to evaluate the hot and cold characteristics of western drugs,which may provide a simple and practical evaluation method for Chinese medicalization of western drugs.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".