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Record W2385802471

Study on the relationship between Mild Cognitive Impairment and Plasma Homocysteine in middle-aged persons

2013· article· en· W2385802471 on OpenAlexaboutno aff
Runxiu Zhu

Bibliographic record

VenueJournal of Traditional Chinese Medicine University of Hunan · 2013
Typearticle
Languageen
FieldMedicine
TopicGDF15 and Related Biomarkers
Canadian institutionsnot available
Fundersnot available
KeywordsHyperhomocysteinemiaFolic acidHomocysteineInternal medicineCognitive impairmentMedicinePlasma levelsPlasma homocysteineGastroenterologyCognitionMini–Mental State ExaminationMontreal Cognitive AssessmentPsychiatryDisease
DOInot available

Abstract

fetched live from OpenAlex

Objective To explore the relationship between mild cognitive impairment(MCI) and plasma homocysteine(Hcy) in middle-aged persons.Methods Plasma Hcy,plasma folic acid and VitB12were determined respectively in 60 MCI patients(MCI group) and 60 healthy people.32 patients with hyperhomocysteinemia(Hhcy) were treated with folic acid and VitB12for 4 weeks.The level of Plasma Hcy,Mini-Mental State Examination(MMSE) score,and Montreal Cognitive Assessment(MCOA) score were observed before and after treatment.Results Plasma Hcy in MCI group was significantly higher than that in control group(P0.05),and folic acid,VitB12,MMSE and MCOA score were lower than that in control group(P0.05).Plasma Hcy was negatively correlative with that of folic acid,VitB12,MMSE and MCOA score in MCI group(P0.05).After 4 weeks’ treatments,Plasma Hcy level in MCI group reduced compared with before treatment(P0.05),But MMSE and MCOA score was not statistically different compared with before treatment(P0.05).Conclusion Plasma Hcy level is relevant to the occurrence of mild cognitive impairment in middleaged persons,through adding folic acid and VitB12,level of plasma Hcy could be reduced,but no definite effect to 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)0.001
metaresearch head score (Gemma)0.000
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 score0.033
Threshold uncertainty score0.315

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.076
GPT teacher head0.260
Teacher spread0.184 · 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".

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

Explore more

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