Bibliographic record
Abstract
Recent clinical studies such as HOPE, SECURE, and APRES show that angiotensin-converting enzyme (ACE) inhibitors like ramipril improve the prognosis of patients with a high risk of atherothrombotic cardiovascular events. Atherosclerosis, as a chronic inflammatory condition of the vascular system, can turn into an acute clinical event through the rupture of a vulnerable atherosclerotic plaque followed by thrombosis. ACE inhibition has a beneficial effect on the atherogenic setting and on fibrinolysis. Endothelial dysfunction is the end of a common process in which cardiovascular risk factors contribute to inflammation and atherogenesis. By inhibiting the formation of angiotensin II, ACE inhibitors prevent any damaging effects on endothelial function, vascular smooth muscle cells, and inflammatory vascular processes. An increase in the release of NO under ACE inhibition has a protective effect. Local renin-angiotensin systems in the tissue are involved in the inflammatory processes in the atherosclerotic plaque. Circulating ACE-containing monocytes, which adhere to endothelial cell lesions, differentiate within the vascular wall to ACE-containing macrophages or foam cells with increased local synthesis of ACE and angiotensin II. Within the vascular wall, angiotensin II decisively contributes to the instability of the plaque by stimulating growth factors, adhesion molecules, chemotactic proteins, cytokines, oxidized LDL, and matrix metalloproteinases. Suppression of the increased ACE activity within the plaque can lead to the stabilization and deactivation of the plaque by reducing inflammation in the vascular wall, thus lessening the risk of rupture and thrombosis and the resultant acute clinical cardiovascular events. The remarkable improvement in the long-term prognosis of atherosclerotic patients with increased cardiovascular risk might be the clinical result of the contribution made by ACE inhibition in the vascular wall.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".