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Clinical manifestations in eight patients with multiple dilated Virchow-Robin spaces in striatum

2015· article· en· W3029108436 on OpenAlexaboutno aff
Lixia Zong, Yicheng Zhu, Jing Yuan, Jun Ni, Lixin Zhou

Bibliographic record

VenueChin J Neurol · 2015
Typearticle
Languageen
FieldMedicine
TopicFetal and Pediatric Neurological Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMontreal Cognitive AssessmentStroke (engine)CognitionPhysical medicine and rehabilitationInternal medicinePhysical therapyDiseaseDementiaPsychiatry

Abstract

fetched live from OpenAlex

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

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.430

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.031
GPT teacher head0.285
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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