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Telephone interview for cognitive status-modified in study of cognitive impairment after cerebral ischemia

2016· article· en· W3032092673 on OpenAlexaboutno aff
Zhihong Lyu

Bibliographic record

VenueChinese Journal of Neuromedicine · 2016
Typearticle
Languageen
FieldNeuroscience
TopicNeurological Disease Mechanisms and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsDementiaMontreal Cognitive AssessmentIschemiaClinical Dementia RatingNeuropsychologyMedicineCognitionTicsInternal medicinePsychologyPhysical therapyPsychiatryDisease

Abstract

fetched live from OpenAlex

Objective To study the variation characteristics of cognitive impairment and its influencing factors using telephone interview for cognitive status-modified(TICS-m)in patients after cerebral ischemia, and evaluate the application value of TICS-m. Methods Ninety-five patients with cerebral ischemia, matched the criteria and admitted to our hospital from December 2014 to December 2015, were chosen. Their related information was recorded, their cognitive function was assessed by face-to-face neuropsychological tests, including Montreal Cognitive Assessment(MoCA), Hamilton Depression Rating Scale, activities of daily living(ADL)and Chinese Neuropsychiatric Inventory(CNPI), in the acute stage(10-14 d), and then, their cognitive function was assessed by TICS-m 4, 12 and 18 weeks after cerebral ischemia and their rehabilitation was followed up. Results The incidence of cognitive impairment after cerebral ischemia in the acute stage was 78.9%; when cutoffs of dementia was <28 points and mild cognitive impairment(MCI)was 28-33 points in TICS-m, the incidences of cognitive impairment 4, 12 and 18 weeks after cerebral ischemia were 69.4%(MCI: 45.8%, dementia: 23.6%), 57.3%(MCI: 42.6%, dementia: 14.8%), 44.9%(MCI: 34.7%, dementia: 10.2%). And the TICS-m total scores 12 and 18 weeks after cerebral ischemia were significantly increased than that 4 weeks after cerebral ischemia, amplification reaching to 7.9% and 10.7%(P<0.05); subtests analysis indicated that 12 and 18 weeks after cerebral ischemia, the memory recovered obviously: the scores were significantly increased, amplification reaching to 34.5% and 49.0% as compared with those 4 weeks after the cerebral ischemia(P<0.05). Logistic regression analysis indicated that age(OR=66.615, P= 0.001, 95% CI: 5.449-814.349), education level(OR=0.134, P=0.009, 95% CI: 0.029-0.608)and work type(OR=0.090, P=0.004, 95%CI: 0.017-0.464)were closely related to the cognitive impairment after cerebral ischemia. The follow-up visit analysis showed that most patients(91.8%)could take the drug for the secondary prevention of stroke and return to the clinic regularly, and only a small part of patients(31.8%)took the related drugs to improve their cognitive impairment; about 77.6% patients recovered good after discharge, 54.7% patients supported and hoped the doctors continue the follow-up visit by telephone. Conclusions The incidence of cognitive impairment is high after cerebral ischemia and it declines over time, and advanced age, low education level and manual work are the important factors affect the incidence. TICS-m is an effective and convenient tool to assess the characteristic and prognosis of patients with cognitive impairment after the cerebral ischemia, and it' s suitable for clinic follow-up study and scientific research. Key words: Telephone interview for cognitive status-modified; Cerebral ischemia; Cognitive function

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.575
Threshold uncertainty score0.526

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.038
GPT teacher head0.320
Teacher spread0.283 · 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.

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
Published2016
Admission routes1
Has abstractyes

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