Structural and Functional Alteration of Blood Vessels Caused by Cigarette Smoking: An Overview of Molecular Mechanisms
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.
Bibliographic record
Abstract
Smoking is a significant independent risk factor for cardiovascular disease and is a leading cause of structural and functional alterations of the cardiovascular system. Most clinical and experimental investigations of the pathophysiology of cigarette smoking have studied the effects of smoke as a whole, while a few studies focused on specific components of cigarette smoke, e.g. nicotine and carbon monoxide, which are only 2 of the more than 4,000 different chemicals present in cigarette smoke. The findings point to some discrepancies when the effects of whole smoke are compared to nicotine alone, while there is almost uniform agreement that both active and passive smoking have detrimental effects on the cardiovascular system, although a milder effect was suggested for the latter. This review focuses on findings from clinical and experimental studies on the vascular effects of active and passive cigarette smoking and nicotine exposure. The findings are discussed in terms of tissue (conduit vs. resistance arteries and veins), species, age, gender and dosage. Although the exact pathophysiology of cigarette smoking has not been unveiled, cigarette smoking causes injury to the vascular endothelium, produces superoxide anions, reduces production and bioavailability of nitric oxide (NO), increases production and release of endothelin, causes endothelial dysfunction, thrombosis, atherosclerosis, infarction, coronary artery disease (CAD), stroke and death.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it