Dissociation of Vasospasm and Secondary Effects of Experimental Subarachnoid Hemorrhage by Clazosentan
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Endothelin receptor antagonists such as clazosentan decrease large-artery vasospasm after experimental and clinical subarachnoid hemorrhage. We used clazosentan to gain insight into the pathophysiology of subarachnoid hemorrhage by determining if decreasing vasospasm is associated with alleviation of other secondary complications of subarachnoid hemorrhage such as oxidative stress, endothelial nitric oxide synthase dysfunction, microthromboembolism, and neuronal injury. METHODS: Mice were subjected to subarachnoid hemorrhage by injection of blood into the chiasmatic cistern. They were treated with clazosentan or vehicle by continuous intraperitoneal infusion for 48 hours. Middle cerebral artery vasospasm, superoxide anion radical, peroxynitrite, microthromboemboli, endothelial nitric oxide synthase uncoupling, cerebral blood flow, neuronal injury, and mortality were assessed. RESULTS: Clazosentan preserved cerebral blood flow, alleviated vasospasm, and decreased mortality but did not affect superoxide anion radical, peroxynitrite, or microthromboemboli in the brain. Endothelial nitric oxide synthase uncoupling and neuronal injury also were not reduced by clazosentan. CONCLUSIONS: This study shows large-artery vasospasm is pathophysiologically independent of some other effects of subarachnoid hemorrhage. The findings have implications for development of treatments for this disease.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".