Metabolic Markers of Cobalamin Deficiency and Cognitive Function in Normal Older Adults
Bibliographic record
Abstract
OBJECTIVES: To investigate the relationship between metabolic markers of cobalamin deficiency and cognitive function in normal older adults. DESIGN: Cross-sectional study. SETTING: Queen's University and St. Mary's of the Lake Hospital, Kingston, Ontario, Canada. PARTICIPANTS: Two hundred eighty-one cognitively normal, community-dwelling participants aged 65 and older. MEASUREMENTS: Serum cobalamin, red blood cell folate, methylcitric acid, homocysteine, and methylmalonic acid were determined. Cognitive instruments included the California Verbal Learning Test, Mattis Dementia Rating Scale, and the Stroop Neuropsychological Screening Inventory (Stroop). RESULTS: Serum levels of methylcitric acid had a significant negative correlation with recall, learning, and discriminability (factor 1) of the California Verbal Learning Test after adjusting for age and sex (beta=-0.138, P=.019). Subjects with elevated methylcitric acid had significantly lower scores (factor 1) than subjects with normal methylcitric acid (P<.01). Bivariate analysis showed significant correlations between levels of homocysteine and the Stroop score and between cobalamin, methylmalonic acid, and homocysteine and some scores of the California Verbal Learning Test, but these relationships did not remain significant after multivariate analysis. Subjects with high homocysteine (tHcy) had lower Stroop scores than subjects with normal tHcy (P<.05). No biochemical parameters were associated with the Mattis Dementia Rating Scale scores. CONCLUSION: This study indicates that, in normal elderly subjects, some cognitive scores are related to serum methylcitric acid and possibly homocysteine.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".