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Influence of acebutolol and metoprolol on cardiac output and regional blood flow in rats

2000· article· en· W2014924070 on OpenAlex
Sayed Abolfazl Mostafavi, Richard Lewanczuk, Robert T. Foster

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

VenueBiopharmaceutics & Drug Disposition · 2000
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Function and Risk Factors
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAcebutololMetoprololBlood flowHemodynamicsCardiac outputCardiologyMedicineInternal medicineAnesthesiaMathematicsBlood pressure

Abstract

fetched live from OpenAlex

Beta-adrenoceptor blocking drugs are widely used as effective antihypertensive and antianginal agents. We have determined the effect of beta-blockade in the rat to ascertain whether there are differences between metoprolol (MET) and acebutolol (AC) with respect to regional blood flow (RBF). Both AC and MET were administered as a single or multiple intravenous (iv) doses in Sprague-Dawley rats. Microspheres labelled with (85)Sr and (141)Ce were used to measure cardiac output (CO) and RBF before and after drug administration. CO and RBF were measured 1 and 10 min after the i.v. administration of AC (30 mg/kg) and MET (10 mg/kg). After acute administration of MET, CO decreased by 65% and 31% after 1 and 10 min measurements, respectively. These values were 54% and 28% for AC as compared with baseline values. After chronic administration of either AC or MET, however, there were no significant reductions in CO as compared with saline. Both MET and AC significantly reduced RBF in most organs either after 1 or 10 min measurements when compared with the baseline values. It is concluded that both AC and MET reduced CO and RBF after acute administration. The CO and RBF however, returned to normal after chronic administration.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.459
Threshold uncertainty score0.512

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.015
GPT teacher head0.270
Teacher spread0.255 · 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