Alcohol and Cardiovascular Disease
Bibliographic record
Abstract
Alcohol's impact on cardiovascular health is biphasic: low-to-moderate intake may appear protective, but excessive or binge drinking causes significant harm. This review examines mechanisms linking overconsumption to cardiovascular disease. Acute heavy drinking can trigger "holiday heart syndrome," a transient atrial arrhythmia from electrophysiological instability, autonomic imbalance, and electrolyte shifts. Chronic excess contributes to alcoholic cardiomyopathy via oxidative stress, mitochondrial dysfunction, and impaired calcium handling. Alcohol also promotes atrial fibrillation and hypertension by inducing atrial fibrosis, neurohormonal dysregulation, and endothelial injury. Excessive intake accelerates coronary artery disease and type 2 diabetes through dyslipidemia, vascular inflammation, and insulin resistance, raising risks of stroke, heart failure, and myocardial infarction. While moderate consumption was once thought cardioprotective, emerging evidence-especially for atrial fibrillation-suggests risks may outweigh benefits. In conclusion, public health guidance increasingly emphasizes moderation, individualized assessment, and avoiding binge patterns, particularly for those with underlying cardiovascular vulnerabilities.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".