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Association between blood glucose control and mild cognitive impairment in patients with diabetes mellitus and small-artery occlusion

2018· article· en· W3031296298 on OpenAlexaboutno aff
Yunyan He, Yi Jin, Wenjuan Zhao, Yan Hong, Guanen Zhou, Yonghong Xing

Bibliographic record

VenueChinese Journal of Neuromedicine · 2018
Typearticle
Languageen
FieldNeuroscience
TopicNeurological Disease Mechanisms and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDiabetes mellitusMontreal Cognitive AssessmentConfoundingLogistic regressionInternal medicineCognitionNeurologyHemoglobinCognitive impairmentIncidence (geometry)GastroenterologyEndocrinologyPsychiatryDisease

Abstract

fetched live from OpenAlex

Objective To study the association between blood glucose control and mild cognitive impairment (MCI) in patients with diabetes mellitus and small-artery occlusion (SAO). Methods A screening study of cognitive impairment was conducted in the 676 patients diagnosed with SAO who had been treated at Department of Neurology, Huanhu Hospital from January 2010 through June 2017. They were divided into a normal cognition group (n=629) and an MCI group (n=47) according to the screening results. They were also divided into 4 groups according to their history of diabetes and levels of hemoglobin A1c: normal blood glucose group (n=398), stringent goals group (n=59), general goals group (n=46) and goals-not-met group (n=173). The differences were compared in terms of Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment Scale (MoCA) scores between the normal blood glucose, stringent goals, general goals and goals-not-met groups. We also analyzed the general clinical data and risk factors between the normal cognition and MCI groups. Variables of confounders that were identified as significant were entered into logistic regression. Results There were significant differences in MMSE and MoCA scores between the 4 groups (P<0.05). Between the normal cognition and MCI groups, significant differences were found in proportion of smokers, blood glucose level and severity of stroke (P<0.05). Logistic regression analysis showed that compared with the normal blood glucose group the incidence of MCI was 2.707-fold higher in the stringent goals group (OR=2.707, 95% CI: 1.035~7.083, P=0.042), 2.963-fold higher in the general goals group (OR=2.963, 95% CI: 1.064~8.277, P=0.038) and 2.604-fold higher in the goals-not-met group (OR=2.604, 95% CI: 1.269~5.341, P=0.009). Conclusions MCI is more likely to occur in acute phase in patients with diabetes and SAO stroke. The patients can benefit from joint managements of diabetes, stroke and cognitive dysfunction in clinical practice. Key words: Stroke; Small-artery occlusion; Diabetes mellitus; Blood glucose control; Mild 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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.018
Threshold uncertainty score0.420

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.009
GPT teacher head0.227
Teacher spread0.218 · 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
Published2018
Admission routes1
Has abstractyes

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