Clinical manifestations in eight patients with multiple dilated Virchow-Robin spaces in striatum
Bibliographic record
Abstract
Objective To investigate the clinical feactures of patients with numerous dilated Virchow-Robin space in basal gangalia. Methods Eight patients with cribriform state in striatum in brain MRI at Peking Union Medical College Hospital from March 2013 to October 2013 were enrolled. The clinical data including age, gender, common vascular risk factors and clinical manifestations were analyzed. Cognitive functions, balance and gait disturbance, as well as activity of daily living were assessed. Results All of the eight patients are male, aged from 69 to 80. All the patients had a history of hyperlipidemia, while 7 of them had hypertension. The primary complaint was either gradual motor function decline or memory impairments (3/8), or dizziness (1/8). The other 4 of them were diagnosed as stroke or transient ischemic attack. Among the 8 patients, four had mild deterioration in activity of daily living function (Barthel index 65-85). Cognitive impairment was common (8/8, the Montreal Cognitive Assessment scores 19-27), while word recall was the mostly affected cognitive domain (8/8). Gait and balance dysfunction were found in three patients (3/8, Tinetti scores≤24). Conclusions Man is more likely to have predisposition to cribriform state in striatum. Mild cognitive impairments and gait abnormality are common clinical manifestations of the disease. Key words: Cerebral small vessel diseases; Basal ganglia cerebrovascular disease; Cognition disorders; Gait apraxia
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".