Bibliographic record
Abstract
Limb shaking is a rare and atypical presentation for a transient ischemic attack. It can be described as a “cerebral ischemic claudication” due to attenuation in an already compromised cerebral perfusion. The uncharacteristic presentation may lead to confusion and misdiagnosis, for example, focal epilepsy, delaying appropriate therapy. We describe such a case highlighting the clinical implications and options for addressing the underlying cerebrovascular pathology. A 57-years-old female with a 2 weeks history of slurred speech and involuntary shaking of the right upper and lower extremities lasting for a few minutes, which was not associated with loss of consciousness or amourosis fugax. Neuroimaging demonstrated a complete left internal carotid artery occlusion at its origin and a severe focal stenosis of the proximal external carotid artery. Supraclinoidal internal carotid artery was reconstituted via collaterals between ophthalmic artery and branches of left internal maxillary artery. The right internal carotid contributed via the anterior communicating artery. An external carotid endarterectomy was performed, resulting in a complete resolution of her symptoms. In conclusion, limb shaking as a manifestation of carotid occlusion is a rare phenomenon. To prevent misdiagnosis and appropriate treatment, cerebral ischemic claudication must always be considered in the appropriate setup. Any treatment must preserve the collaterals supplying the compromised cerebral vasculature. J Neurol Res. 2012;2(6):244-246 doi: https://doi.org/10.4021/jnr161w
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 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".