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Record W2362658646

Analysis on influential factors of cognitive impairment after acute cerebral infarction

2013· article· en· W2362658646 on OpenAlexaboutno aff
Ting Yao

Bibliographic record

VenueBeijing Journal of Traditional Chinese Medicine · 2013
Typearticle
Languageen
FieldNeuroscience
TopicNeurological Disease Mechanisms and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMontreal Cognitive AssessmentInternal medicineLogistic regressionCognitionPhysical therapyDiabetes mellitusCognitive impairmentCardiologyDiseasePsychiatry
DOInot available

Abstract

fetched live from OpenAlex

Objective To discuss the influential factors of cognitive impairment after acute cerebral infarction(ACI).Methods Sixty cases of ACI patients(all patients were right-handed) following inclusion criteria were selected for collecting general information,inflammatory markers of acute stage,and results of blood coagulation function test,meanwhile,evaluating the degree of neurologic deficit of patients at acute phase with National Institutes of Health Stroke Scale(NIHSS).90 days after the attack,the syndrome elements were collected and Montreal Cognitive Assessment(MoCA) scale was used to evaluate cognitive function.And the patients were divided into a cognitive impairment group(Group A,MoCA26) and a normal group(Group N,MoCA≥26) by referring to the diagnostic criteria of cognitive impairment after ACI.The influential factors of cognitive impairment after ACI were investigated by comparing the two groups.Results The proportion of patients with previous history of hypertension,diabetes and stroke in the Group A was higher than that in the Group N(P0.05);the level of blood homocysteine(HCY),high-sensitivity C-reactive protein(hs-CRP) and plasma fibrinogen(FIB) in the Group N was higher than that in the Group N(P0.05);K-means Cluster Analysis clustered NIHSS scores at each time point into three categories,and each category was in ascending sort according to the average NIHSS score,corresponding to class center 1,2 and 3.Of which,MoCA score of the class center 3 was lower than that of the class center 1 and 2(P0.05).Logistic regression analysis showed that phlegm syndrome had a significant effect on the incidence of cognitive impairment after ACI(P0.05).Conclusion The cognitive impairment after ACI is associated with the history of hypertension,diabetes,stroke,and the level of blood HCY,hs-CRP and FIB of acute phase;the severer the neurologic deficit of the ACI is,the severer the cognitive impairment after cerebral infarction is;the phlegm syndrome is the most closely related with the cognitive impairment after ACI.

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)0.003
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 score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.027
GPT teacher head0.279
Teacher spread0.252 · 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".

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Citations0
Published2013
Admission routes1
Has abstractyes

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