Novel Targets for Cardiac Antiarrhythmic Drug Development
Bibliographic record
Abstract
Cardiac arrhythmias remain a major source of morbidity and mortality in developed countries. Antiarrhythmic drug therapy was traditionally the mainstay of cardiac arrhythmia treatment; however, drug therapy of cardiac arrhythmias has been plagued by incomplete efficacy and by potentially serious adverse reactions, of which the most worrisome has been a potential for malignant proarrhythmia and related effects to increase cardiac mortality. This article reviews the principal arrhythmia mechanisms and their ionic determinants, and discusses potential innovative approaches to new antiarrhythmic drug development, including the consideration of novel ionic targets, potential biophysical approaches and non-channel components involved in composing the arrhythmic substrate. Keywords: sinoatrial node (san), pacemaker, re-excitation, early afterdepolarizations(eads), sarcoplasmic reticulum (sr), automaticity, sodium current, channels, ultra rapid delayed rectifier, antiarrhythmic therapy
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.004 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".