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Record W4392628003

The Occurrence and Longitudinal Changes of Cognitive Impairment After Acute Ischemic Stroke

2020· article· en· W4392628003 on OpenAlexaboutno aff
Xin Liao, Li Zuo, Nong Zhang, Yang Yang, Yuesong Pan, Xuelian Xiang, Lei Chen, Xianghong Meng, Haitao Li, Xingquan Zhao, Yanfang Wang, Chao Wang, Jie Shi, Yuhua Wang

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2020
Typearticle
Languageen
FieldNeuroscience
TopicNeurological Disorders and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsCognitive impairmentIschemic strokeStroke (engine)CardiologyMedicineInternal medicineCognitionPhysical medicine and rehabilitationPsychiatryIschemiaPhysics
DOInot available

Abstract

fetched live from OpenAlex

Xiao-ling Liao,1 Li-jun Zuo,1 Ning Zhang,2 Yang Yang,2 Yue-song Pan,3 Xiang-long Xiang,3 Ling-yun Chen,4 Xia Meng,3 Hao Li,3 Xing-quan Zhao,1 Yi-long Wang,1 Chun-xue Wang,2 Jiong Shi,3 Yong-jun Wang1 On behalf of the Impairment of CognitiON and Sleep quality for patients after acute ischemic stroke or transient ischemic attack (ICONS) Investigators1Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China; 2Department of Neuropsychology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China; 3National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China; 4Department of Medicine, Eisai China INC, Shanghai, People’s Republic of ChinaCorrespondence: Yong-jun WangDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, No. 119, South Fourth Ring West Road, Fengtai District, Beijing 100070, People’s Republic of ChinaTel +86-10-59978350Fax +86-10-59973383Email yongjunwang@ncrcnd.org.cnBackground and Purpose: More and more evidence suggests that cognitive impairment (CI) after stroke is closely related to the quality of life of stroke patients. The primary aim of this study is to investigate the occurrence and longitudinal changes of CI at different stages after acute ischemic stroke (AIS) in Chinese patients.Methods: The data of this study come from the impairment of cognition and Sleep after acute ischemic stroke or transient ischemic attack in Chinese patients study (ICONS), a nationwide multicenter prospective registry that recruited consecutive AIS or transient ischemic attack in-hospital patients within 7 days after onset. Patients were followed for Montreal Cognitive Assessment (MoCA) scale at 2-week (2w), 3 months (3m) and 12 months (12m). CI was defined as MoCA score≦22. No cognitive impairment (NCI) was defined as MoCA score> 22.Results: A total of 2432 AIS patients were enrolled in this study. Overall, 72.94% of patients were male and the average age was 60.95 years. Median National Institutes of Health Stroke Scale score was 3. The occurrence rate of CI was 52.38%, 35.55% and 34.16% at 2w, 3m and 12m. Among patients with CI at 2w and 3m, 39.9% and 27.9% of patients returned to NCI at next follow-up point. At 3m and 12m follow-up, there were also 9.6% and 12.7% new CI patients. The two cognitive items with the highest abnormal rate were “Delayed recall” (89.35%, 83.33% and 82.80%) and “Visuospatial/executive” (78.91%, 73.42% and 70.08%). The cognitive item with the highest percentage of improved patients was “Orientation” (60.91– 76.68%), and the cognitive item with the lowest percentage of improved patients was “Language” (35.85– 44.50%).Conclusion: CI had a relatively high occurrence at 2w to 12m after AIS. CI at 3m and 12m was significantly lower than that at 2w after stroke. The occurrence of abnormalities and recovery probability for different cognitive items also differed greatly.Keywords: cognitive impairment, ischemic stroke, longitudinal cohort study, occurrence

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
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 communication0.0000.001
Open science0.0010.001
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 head0.238
GPT teacher head0.499
Teacher spread0.261 · 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

Citations6
Published2020
Admission routes1
Has abstractyes

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