Hemorrhagic Sensorimotor Stroke: Spectrum of Disease
Bibliographic record
Abstract
Background: This study is aimed to describe the clinical characteristics of hemorrhagic sensorimotor stroke based on data collected from a prospective hospital-based acute stroke registry. Methods: Twelve patients with hemorrhagic sensorimotor stroke were identified, which accounted for 9% of all cases of pure sensorimotor stroke (n = 133) and 2.9% of intracerebral hemorrhage (n = 408) entered in the database. Results: Patients with hemorrhagic sensorimotor were more likely to have hypertension, sudden onset, headache, altered consciousness, and internal capsule and basal ganglia involvement than patients with sensorimotor stroke of ischemic origin. When compared with patients with hemorrhagic stroke, hypertension, presence of previous TIA, obesity, heavy smoking, and involvement of the internal capsule were significantly more frequent in patients with hemorrhagic sensorimotor stroke, whereas altered consciousness, basal ganglia, parietal topography and ventricular involvement were less frequent. In the multivariate analysis, altered consciousness (odds ratio 17.2) and basal ganglia involvement (odds ratio 10.3) were independent predictors of hemorrhagic sensorimotor stroke. Conclusions: Hemorrhagic sensorimotor stroke is a very infrequent stroke syndrome. Altered consciousness at stroke onset may be a useful sign for distinguishing hemorrhagic sensorimotor stroke from other causes of lacunar stroke. There are important differences between hemorrhagic sensorimotor stroke and the remaining intracerebral hemorrhages. doi:10.4021/jnr26w
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".