A New Early Finding of Moyamoya-Like Phenomena
Bibliographic record
Abstract
Moyamoya disease (MMD) primarily causes constriction of internal carotid artery, but it is known to extend to the middle and anterior cerebral arteries. Some of the symptoms caused by MMD include transient ischemic attack (TIA) and seizures. The etiology of MMD from Graves' disease (GD) is mostly caused by thyrotoxicosis, but our finding of leukocytosis indicates a new finding that may help physicians prepare for the pending outcome of MMD from GD with leukocytosis. A 26-year-old Hispanic woman with a significant past medical history of GD and hypertension presented to the emergency department complaining of cough and shortness of breath for the past 5 days. During the patient's stay in the hospital, the patient suddenly developed numbness of the right arm with subsequent right arm weakness 10 minutes later. The head CT showed no acute intercranial hemorrhage, but MRA showed right intracranial internal carotid artery stenosis, with marked focal stenosis along the proximal supraclinoid segment, moderate stenosis along its distal supraclinoid segment with marked stenosis along the origin of the right A1 segment. It was therefore believed to be moyamoya-like phenomena. We discuss an atypical presentation that led to moyamoya-like phenomena which we believe has not been described before. We believe that presentation of idiopathic leukocytosis may have triggered the cerebral stenosis.
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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".