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Record W2352839294

Infarction in the Territory of Anterior Cerebral Artery:Analysis of Clinical Manifestation and MRI Characters

2010· article· en· W2352839294 on OpenAlexaboutno aff
Qin Wang

Bibliographic record

VenueChinese Journal of Clinical Neurosciences · 2010
Typearticle
Languageen
FieldMedicine
TopicCerebrovascular and Carotid Artery Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsInfarctionCorpus callosumMontreal Cognitive AssessmentHemiparesisMedicineCerebral infarctionAnterior cerebral arteryCognitionFrontal lobeStroke (engine)CardiologyWeaknessAphasiaInternal medicinePhysical medicine and rehabilitationSurgeryMiddle cerebral arteryPsychiatryCognitive impairmentPathologyIschemiaAngiography
DOInot available

Abstract

fetched live from OpenAlex

Aim:To investigate the clinical manifestation and neuro-imaging changes of infarction in the territory of anterior cerebral artery(ACA) to guide the clinical work.Methods:The clinical data of 22 patients who were diagnosed ACA infarction were analyzed.Among them,cognitive functions were examined in 12 patients using Mini-Mental State Examination(MMSE) or Montreal Cognitive Assessment Beijing Version (MoCA).Results:In the 22 ACA infaction patients,corpus callosum(n=16) and interior side of frontal lobe (n=16) were most frequently affected.The most common symptom was motor dysfunction(n=20),in which leg weakness dominant hemiparesis(n=7) and leg monoparesis(n=4) were the main form.Other manifestations include hypobuli/indifference(n=12),urinary disorder(n=10),sensory defect(n=7) and aphasia(n=3).Among the 12 patients whose cognitive functions were examined,8 persons showed cognitive dysfunction. Conclusion:There are various clinical features of ACA infarction,and identifying this particular territory of brain infarction should be careful.

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)0.003
metaresearch head score (Gemma)0.002
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 score0.003
Threshold uncertainty score0.264

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.029
GPT teacher head0.400
Teacher spread0.371 · 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
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueChinese Journal of Clinical NeurosciencesSame topicCerebrovascular and Carotid Artery DiseasesFrench-language works237,207