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Record W2948830262 · doi:10.31083/j.rcm.2018.03.3181

Activation of β1-adrenoceptors may not be involved in arrhythmogenesis in ischemic heart disease

2018· article· en· W2948830262 on OpenAlexaff
Adriana Adameová, Sukhwinder K. Bhullar, Vijayan Elimban, Naranjan S. Dhalla

Bibliographic record

VenueReviews in Cardiovascular Medicine · 2018
Typearticle
Languageen
FieldMedicine
TopicCardiac electrophysiology and arrhythmias
Canadian institutionsUniversity of ManitobaSt. Boniface Hospital
Fundersnot available
KeywordsMedicineCardiologyInternal medicineDisease

Abstract

fetched live from OpenAlex

Although ischemic heart disease is invariably associated with marked activation of sympathetic nervous system, elevated levels of circulating catecholamines and lethal ventricular arrhythmias, the mechanisms of arrhythmogenesis due to myocardial ischemia are not fully understood. Since catecholamines are known to produce stimulatory effects in the heart mainly by acting on β1-adrenoceptors, this study was undertaken to test the involvement of these receptors in the development of arrhythmias due to myocardial infarction (MI) induced upon occluding the left coronary artery in rats for a period of 2 h. The animals were treated with or without atenolol (20 mg/kg; daily), a selective β1-adrenoceptors blocker, for 14 days before inducing MI. No alterations in the number of MIinduced episodes and incidence or duration of different types of arrhythmias were observed. In fact, the incidence of trigemines and reversible ventricular fibrillation due to MI were significantly increased in the atenolol-treated animals. These observations support the view that the activation of β1-adrenoceptors may not be exclusively involved in the development of arrhythmias during the occurrence of ischemic heart disease and other mechanisms can underlie the electric instability of such damaged heart.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.032
GPT teacher head0.298
Teacher spread0.266 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations24
Published2018
Admission routes1
Has abstractyes

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