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Record W2004121329 · doi:10.1053/eupc.2000.0114

Rate dependence of the effect of antiarrhythmic drugs delaying cardiac repolarization: an overview

2000· review· en· W2004121329 on OpenAlexaff
Paul Dorian

Bibliographic record

VenueEP Europace · 2000
Typereview
Languageen
FieldMedicine
TopicCardiac electrophysiology and arrhythmias
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsRepolarizationMedicineRefractory periodCardiac electrophysiologyCardiac action potentialAnti-Arrhythmia AgentsElectrophysiologyPharmacologyDepolarizationStimulationMechanism of actionAntiarrhythmic agentCardiologyInternal medicineHeart diseaseIn vitroChemistry

Abstract

fetched live from OpenAlex

Prolongation of the cardiac action potential and refractoriness (class III effect) is a potentially beneficial electrophysiological mechanism of action. However, this effect may be diminished or eliminated at rapid heart rates, so-called 'reverse rate dependence' of prolongation of repolarization. Action potential duration normally shortens as heart rate increases, due to increases in outward repolarizing currents, and/or decreases in inward depolarizing currents. The assessment of the effect of drugs on action potential duration is complicated by inter-species differences in ionic currents mediating repolarization, heterogeneity within the heart in repolarizing currents, and differential effect of drugs in different species, during differing experimental conditions, and at different rates of stimulation. In general, most drugs which predominantly block the IKr repolarizing current exhibit reverse rate-dependent effects on cardiac repolarization. Drugs or combinations of drugs which produce multiple ionic channel blocks and possibly those which block the IKs current, may be less prone to this potentially undesirable effect.

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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0030.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.003

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 head0.021
GPT teacher head0.321
Teacher spread0.299 · 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

Citations51
Published2000
Admission routes1
Has abstractyes

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