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Record W1965127885 · doi:10.1002/mds.22227

Homocysteine is not associated with global motor or cognitive measures in nondemented older Parkinson's disease patients

2008· article· en· W1965127885 on OpenAlexafffund
Richard Camicioli, Thomas P. Bouchard, Martin J. Somerville

Bibliographic record

VenueMovement Disorders · 2008
Typearticle
Languageen
FieldMedicine
TopicFolate and B Vitamins Research
Canadian institutionsUniversity of Alberta
FundersCanadian Institutes of Health Research
KeywordsMethylenetetrahydrofolate reductaseHomocysteineInternal medicineVitamin B12DyskinesiaParkinson's diseaseEndocrinologyParkinsonismMedicineCyanocobalaminGastroenterologyGenotypePsychologyDiseaseBiologyGenetics

Abstract

fetched live from OpenAlex

Levodopa (L-dopa) treatment of Parkinson's disease (PD) is associated with elevated homocysteine (Hcy). To examine the relationship between Hcy, methylenetetrahydrofolate reductase polymorphisms (MTHFR: 677C/T; 1298A/C), and B-vitamins in older PD patients and whether Hcy or MTHFR polymorphisms were associated with clinical measures. MTHFR polymorphisms, B-vitamin intake, and blood concentrations of Hcy, vitamin B12 and folate, and creatinine were determined and compared between groups (PD and controls). The relationship of Hcy to clinical measures was examined in PD. Among 51 patients [30M/21F, mean age (SD): 71.5 (4.7)] and 50 controls [29M/21F, 71.5 (4.8)], Hcy was higher in PD [13.6 (3.8); controls: 10.5 (2.5), P < 0.0005]. Hcy was associated with B-vitamin intake [F = 21.7, P < 0.0005], folate level (R = 0.31, P = 0.035), and the interaction of intake with MTHFR 677T (F = 5.2, P = 0.007), but not MTHFR 1298C genotype. Hcy did not correlate with global measures of cognition, mood, or parkinsonism in PD or with dyskinesias, fluctuations, or freezing. Higher vitamin B12 levels were associated with lower dyskinesia risk. Hcy was influenced by PD, MTHFR 677 genotype, and vitamin use, but not by the MTHFR 1298 genotype. There was no clear association with motor or cognitive measures, but dyskinesias were less likely with higher B12.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.794

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.023
GPT teacher head0.275
Teacher spread0.253 · 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

Citations46
Published2008
Admission routes2
Has abstractyes

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