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Record W2371323597

Clinical research of removing carotid stenosis on cognitive function.

2010· article· en· W2371323597 on OpenAlexaboutno aff
WU Jing-fen

Bibliographic record

VenueSichuan Medical Journal · 2010
Typearticle
Languageen
FieldNeuroscience
TopicNeurological Disease Mechanisms and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineStenosisCarotid arteriesMontreal Cognitive AssessmentSurgeryCognitionCardiologyInternal medicineCognitive impairment
DOInot available

Abstract

fetched live from OpenAlex

Objective The aim of this study was to observe the changed of cognitive function after carotid artery stcnosis been removed.Methods 32 patients with carotid artery stenosis were examined by MOCA to observe the changes of their cognitive function,before stent placement surgery,two weeks after the surgery,three month after the surgery,half-year after the surgery.Results Before the surgery,MOCA score did differ statistically between test group and control group(P0.05).Six months after the surgery,MOCA score did not differ statistically between test group and control group(P0.05).In the test group,scores of normal cases(MOCA score before surgery26)increased,but no significant statistical difference(P0.05);In the same group,the scores of abnormal cases(MOCA score before surgery≤26)did not changed after 2 weeks,but the increase of score did differ statistically after 3months,especial after 6 months(P0.05).Conclusion Blood flow in cerebral increased after the lifting of carotid stenosis,lead to reduction of lacunars infarction,then cognitive function of patients was improved.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
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)0.0010.000

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 head0.158
GPT teacher head0.433
Teacher spread0.275 · 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 source (direct Gemma or distilled Codex), 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

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