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Record W4386451280 · doi:10.53555/sfs.v10i1.1427

EVALUATION OF CARDIOPROTECTIVE EFFECT OF CYPERUS TRICEPS( CYPERACEAE) AGAINST ISOPROTERENOL INDUCED MYOCARDIAL INFARCTION IN ALBINO RATS

2023· article· en· W4386451280 on OpenAlexvenueno aff
M. Sai Ganesh, H .G. Raghavendra

Bibliographic record

VenueJournal of Survey in Fisheries Sciences · 2023
Typearticle
Languageen
FieldChemistry
TopicSpectroscopy and Chemometric Analyses
Canadian institutionsnot available
Fundersnot available
KeywordsIsoprenalineCyperusMyocardial infarctionMedicinePharmacologyHistopathologyTraditional medicineInternal medicineStimulationBotanyPathologyBiology

Abstract

fetched live from OpenAlex

This study was conducted to evaluate the cardioprotective effect of Cyperus triceps against isoproterenol produced myocardial infarction. The extract of Cyperus triceps in the doses of 200 mg/kg and 400 mg/kg was administered orally for 21 days prior to isoproterenol administration to test their cardioprotective effect. Isoproterenol (85 mg/kg) was administered intraperitoneally on 20th and 21st days respectively to induce myocardial infarction. The parameters for evaluation of cardioprotective activity were the Biochemical estimations and Histopathology examination. In biochemical estimations, the cardiac parameters such as CK-MB, SGOT SGPT and Triglycerides were determined. The levels changed by isoproterenol were restored significantly by the administration of the both doses of test extract especially at higher dose. The results of this study shows that Cyperus triceps extract has significant cardioprotective effect against isoprenaline induced myocardial infarction.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.172
GPT teacher head0.340
Teacher spread0.168 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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