The Effects of High Doses of Aspirin and Related Benzoic Acid Derivatives on Arterial Thrombosis in Male Rats
Bibliographic record
Abstract
The antithrombotic effects of four compounds structurally related to aspirin (acetylsalicylic acid, ASA) were examined in a rat model of arterial thrombosis and compared to ASA. ASA had antithrombotic activity, but only at high doses (200 mg/kg), when carotid artery thrombosis was induced 15 min after intravenous drug administration. Lower doses were associated with augmented thrombus formation in some animals. 2-Propionyloxybenzoic acid, which has in vitro activities similar to ASA, caused similar in vivo effects, but was antithrombotic at 100 mg/kg. 3-Propionyloxybenzoic acid, which augments platelet function in vitro, and 3-methylphthalide, which inhibits biphasic adenosine diphosphate-induced platelet aggregation, had no statistically significant effects. 2-Acetoxybenzoic acid, which is a weak platelet aggregation and prostaglandin biosynthesis inhibitor, had antithrombotic activity at 100 and 200 mg/kg and was not associated with augmented thrombosis at lower doses as found with ASA. The pattern of antithrombotic activity of this series of compounds does not reflect in vitro effects on prostaglandin biosynthesis and indicates alternative mechanisms of antithrombotic activity.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".