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Correlation between serum homocysteine level and mild cognitive impairment in patients with Parkinson's disease

2018· article· en· W3032035515 on OpenAlexaboutno aff
Na Liu, Yi Liu, Shuyan Tong, Dianshuai Gao

Bibliographic record

VenueZhonghua xingwei yixue yu naokexue zazhi · 2018
Typearticle
Languageen
FieldMedicine
TopicGDF15 and Related Biomarkers
Canadian institutionsnot available
Fundersnot available
KeywordsInternal medicineHomocysteineParkinson's diseaseGastroenterologyMedicineCognitive impairmentMontreal Cognitive AssessmentCorrelationDisease

Abstract

fetched live from OpenAlex

Objective To investigate the correlation between mild cognitive impairment (PD-MCI) and serum homocysteine (Hcy) in patients with Parkinson's disease. Methods 85 patients with PD (43 with PD-MCI, 42 with PDN) as the observation group and 43 healthy elderly patients as the control group.The demographic information, clinical and neuropsychological assessments were conducted and the Hcy of fasting venous blood were detected in all subjects.The Hcy level and its associated factors were also analyzed in the PD group. Results Serum levels of Hcy in the PD patients((13.53±2.29) μmol/L) were higher than those in the HC group((11.77±1.56) μmol/L) , the difference was statistically significant (t=4.57, P<0.05). There was significant difference in serum Hcy levels among HC group, PDN group((12.85±1.88)μmol/L) and PD-MCI group((14.22±2.47)μmol/L) (F=16.13, P<0.01). Hcy level of the PDN group was higher than that of the HC group (P<0.05), and PD-MCI group was higher than PDN group (P<0.05). Serum levels of Hcy in patients with PD-MCI were significantly associated with UPDRS-Ⅲ(r=0.305), H-Y(r=0.313), LEDD(r=0.424), MMSE(r=-0.470), MoCA(r=-0.503), duration of connection test B(r=0.617) and semantic fluency tests(r=0.557)(all P<0.05). Conclusion Elevated serum Hcy levels are expected to be biomarkers for predicting PD-MCI. Key words: Parkinson's disease; Mild cognitive impairment; Homocysteine level in serum

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
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 communication0.0000.000
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 head0.013
GPT teacher head0.237
Teacher spread0.224 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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