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Record W2347586068

Relationship between plasma homocysteine and mild cognitive impairment in patients with cerebral small vessel disease

2013· article· en· W2347586068 on OpenAlexaboutno aff
LI Xia-fe

Bibliographic record

VenueLaboratory Medicine and Clinic · 2013
Typearticle
Languageen
FieldNeuroscience
TopicNeurological Disease Mechanisms and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsHomocysteineMontreal Cognitive AssessmentFolic acidInternal medicinePlasma homocysteineCognitive impairmentMedicinePlasma levelsCognitionDiseaseGastroenterologyPsychiatry
DOInot available

Abstract

fetched live from OpenAlex

Objective To explore the relationship between plasma homocysteine(Hcy)and vascular mild cognitive impairment(VMCI)in patients with cerebral small vessel disease(SVD).Methods Plasma Hcy,folic acid and VitB12were determined in 82cases of VMCI patients with cerebral SVD(VMCI group)and 60healthy subjects(control group),who were scored with Montreal Cognitive Assessment(MoCA).Correlation between plasma Hcy level and MoCA scores was analyzed.Results Plasma Hcy level in VMCI group was significantly higher than that in control group(P0.01),but plasma levels of folic acid and VitB12,MoCA total score and MoCA subscore with regard to composition of the cube,clock drawing test,recognition of target digit and delayed recall were lower than control group(P0.01).Plasma Hcy level was negatively correlated with plasma level of folic acid and VitB12and MoCA total score in VMCI group(P0.05).Conclusion Increased plasma level of Hcy could be closely related to cognitive impairment in patients with cerebral SVD,and cognitive of abstract space configuration and attention might be decreased earlier in patients with VMCI.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.051
GPT teacher head0.281
Teacher spread0.231 · 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".

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

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