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Record W2355630027

Cross-sectional analysis of cognitive impairment and relative factors after acute ischemic stroke

2013· article· en· W2355630027 on OpenAlexaboutno aff
Yan Wang, Pan Li, Miao Zhang, Huihong Zhang, Shuai Liu, Yuying Zhou

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2013
Typearticle
Languageen
FieldNeuroscience
TopicNeurological Disorders and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCross-sectional studyCognitive impairmentIschemic strokeStroke (engine)Brain ischemiaCognitionCardiologyInternal medicineIschemiaPsychiatryPathology
DOInot available

Abstract

fetched live from OpenAlex

Background Acute ischemic stroke may decline cognitive function and induce vascular dementia (VaD). In early identification of vascular cognitive impairment (VCI), active searching for relevant factors, effective and timely treatment can reduce or even prevent further decline of cognitive function. The purpose of this study is to investigate the cognitive impairment after acute ischemic stroke and its associated factors. Methods A total of 314 cases of acute ischemic stroke patients were recruited in this study. The Montreal Cognitive Assessment (MoCA) was used to evaluate the degree of cognitive impairment. The American National Institutes of Health Stroke Scale (NIHSS) was used to evaluate the extent of neurological deficit. The Barthel Index (BI) was used to evaluate activities of daily living. Hamilton Depression Rating Scale (HAMD) was used to evaluate the patients' mental or emotional state. Results Based on the examination results, post-stroke cognitive impairment (PSCI) group were less educated (P = 0.000) with lower BI score (P = 0.008), higher HAMD score and higher NIHSS score (P = 0.000, for all), and elevated serum high⁃sensitivity C-reactive protein (hs-CRP, P = 0.002) and glycosylated hemoglobin A1c (HbA1c) levels (P = 0.005) than those in post-stroke no cognitive impairment (PSNCI) group. In PSCI group, the concentration of serum hs-CRP and HbA1c, NIHSS and HAMD scores were negatively correlated with the MoCA rating (P < 0.05, for all); whereas, BI score was positively correlated with the MoCA rating (P < 0.05). The subjects in PSCI group had more cortical ischemic vascular disease (CIVD) and left hemisphere ischemic vascular disease (LHIVD) than subjects in PSNCI group (P < 0.05). Logistic regression analysis indicated that lower education, history of diabetes, higher HAMD score, higher serum hs-CRP and HbA1c levels were independent risk factors for PSCI. Conclusion Cognitive impairment after acute ischemic stroke may be closely related to demographic factors, serum hs-CRP level, stroke subtype, HAMD score, the extent of neurological deficit, as well as glycemic control status.

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 score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.160
GPT teacher head0.499
Teacher spread0.339 · 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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Citations1
Published2013
Admission routes1
Has abstractyes

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