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Record W2384930828

Evaluation of the hot and cold characteristics of seven antiarrhythmic drugs by cytological method

2015· article· en· W2384930828 on OpenAlex
Wang Si-we

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueZhonghua zhongyiyao zazhi · 2015
Typearticle
Languageen
FieldMedicine
TopicHealthcare and Venom Research
Canadian institutionsScience North
Fundersnot available
KeywordsMetoprolol TartrateMetoprololBisoprololPharmacologyDiltiazem hydrochloridePropafenoneDiltiazemHydrochlorideVerapamilMedicineChemistryInternal medicineCalciumBiochemistry
DOInot available

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.502
Threshold uncertainty score0.393

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.106
GPT teacher head0.412
Teacher spread0.306 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it