Animal models of spontaneous intracerebral hemorrhage
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
OBJECTIVES: Intracerebral hemorrhage (ICH) is a type of stroke that results in significant mortality and morbidity. Currently there is no definitive treatment for this disease. The paucity of animal models that reflect the heterogeneity of this spontaneous human disease could be the reason. METHODS: In this review, we searched the literature for animal models of spontaneous ICH and found eight relevant papers. RESULTS: Two were related to hypertension and six were related to cerebral amyloid angiopathy (CAA). One model used double transgenic mice overexpressing human renin and angiotensinogen which caused the mice to be hypertensive. Induction of ICH, however required addition of a high salt diet and nitric oxide synthase inhibition. Another mouse model of hypertension employed subcutaneous angiotensin II infusion and nitric oxide synthase inhibition plus acute injections of angiotensin to further elevate blood pressure. Five CAA models were in transgenic mice overexpressing amyloid precursor protein. One relied on the natural development of CAA in squirrel monkeys. CONCLUSIONS: While all of the spontaneous ICH models have some advantages, the disadvantages include the sporadic time of onset of ICH and variability in size and location of ICH. Since there are no known efficacious treatments for ICH, it is not known if findings in the animal models will find treatments that are effective in humans.
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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 it