MétaCan
Menu
Back to cohort
Record W2367668564

Study of the correlation between cognitive impairment and locus of cerebral stroke

2009· article· en· W2367668564 on OpenAlexaboutno aff
Xianghui Chen

Bibliographic record

VenueChinese Journal of Clinical Rational Drug Use · 2009
Typearticle
Languageen
FieldNeuroscience
TopicNeurological Disease Mechanisms and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMontreal Cognitive AssessmentMedicineFrontal lobeCognitive impairmentThalamusStroke (engine)CognitionCerebral infarctionParietal lobeCerebrumCardiologyNeuroscienceAudiologyInternal medicinePsychologyPsychiatryIschemiaCentral nervous systemRadiology
DOInot available

Abstract

fetched live from OpenAlex

Objective To study the correlation between cognitive impairment and locus of cerebral stroke and to observe the characters of cognitive impairment with cerebral stroke of diferrent locus.Methods Cognitive function was tested with Montreal cognitive Assessment(MOCA)in 100 patients with stroke.Correlation between the locus of stroke and cognitive impairment was analyzed with 7 items(ORI,EF、NAM、MEM、ATT、LANG、ABS)of MOCA.Results(1)100 stroke patients were includes 63 cerebral infarction and 37 cerebral hemorrhage.Stroke of frontal lobe,temporal lobe,parietal lobe,occipital lobe,thalamus and basal nucleous led to obvious cognitive impairment(P0.05)while stroke of cerebellum and pons didn't lead to cognitive impairment(P0.05).(2)Stroke of frontal lobe impaired EF、ORT、MEM、ATT and ABS,stroke of parietal lobe impaired NAM、MEM、ATT、EF,sroke of occipital lobeimpaired EF;stroke of thalamus impaired LANG;almost all items of MOCA were impaired in basal nucleous stroke.Conclusion Cognitive impairment is related to the locus of cerebral stroke.

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)0.003
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 score0.006
Threshold uncertainty score0.417

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
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 integrity0.0000.000
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 head0.075
GPT teacher head0.381
Teacher spread0.306 · 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
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueChinese Journal of Clinical Rational Drug UseSame topicNeurological Disease Mechanisms and TreatmentsFrench-language works237,207