MétaCan
Menu
Back to cohort

The predictive value of early cognitive assessment for cognitive function after 3-6 months in acute ischemic stroke patients

2019· article· en· W3030492399 on OpenAlexaboutno aff
Chao Liu, Yaxue Song, Meng Yanhong, Wang Panpan, Yanli Jia, Jingru Zhao, Jianhua Wang

Bibliographic record

VenueZhonghua xingwei yixue yu naokexue zazhi · 2019
Typearticle
Languageen
FieldNeuroscience
TopicNeurological Disease Mechanisms and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMontreal Cognitive AssessmentCognitionStroke (engine)Logistic regressionMedicineInternal medicineRisk factorMini–Mental State ExaminationEffects of sleep deprivation on cognitive performancePhysical therapyCognitive impairmentPsychiatry

Abstract

fetched live from OpenAlex

Objective To explore the predictive value of short term cognitive assessment in the acute phase of ischemic stroke for 3-6 months after stroke. Methods The demographic data, vascular risk factors, clinical and imaging data of 254 patients with acute ischemic stroke from August 2016 to December 2017 were prospectively registered.The cognitive function was assessed by Mini-mental state examination (MMSE) and Montreal cognitive assessment (MoCA) 3 weeks after stroke onset.Comprehensive cognitive function assessment was performed after 3-6 months of stroke.Multiple factor Logistic regression was used to screen the independent risk factors of cognitive domain and overall cognitive function in 3-6 months. Results Totally 254 consecutive patients with acute ischemic stroke were enrolled.Combined with the inclusion and exclusion criteria, 161 patients completed the baseline cognitive assessment, and 138 completed the comprehensive cognitive assessment in 3-6 months after stroke.Logistic regression analysis showed that 3 weeks baseline cognitive status was an independent factor affecting memory (P<0.05, OR=62.47, 95%CI=13.00-205.00), execution (P<0.05, OR=38.29, 95%CI=8.00-170.00), language (P<0.05, OR=6.46, 95%CI=2.31-18.04) and information processing speed (P<0.05, OR=5.88, 95%CI=2.24-15.41) in 3-6 months after stroke.According to the number of impaired cognitive domains, the overall cognitive function was defined.There were 61 cases of no or mild cognitive dysfunction group and 77 cases of moderate or severe cognitive impairment group.Multifactor logistic analysis showed that baseline cognitive status was independent of the overall cognitive function of 3-6 months after apoplexy adjusting for the age and education level (P<0.05, OR=25.32, 95%CI=7.52-85.39). Conclusion Short cognitive assessment in early apoplexy can predict the short-term functional status of cognitive domains such as memory, execution, language and information processing speed after stroke, and can also predict the overall cognitive level. Key words: Ischemic stroke; Cognitive assessment; Post-stroke cognitive impairment

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.128
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.011
GPT teacher head0.259
Teacher spread0.248 · 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.

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

Citations2
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueZhonghua xingwei yixue yu naokexue zazhiSame topicNeurological Disease Mechanisms and TreatmentsFrench-language works237,207