Association Between Folate, Vitamin B12 and Cognitive Performance in Demented Elderly.
Bibliographic record
Abstract
Dementia is prevalent among elderly people. As the world population ages, it is projected that the number of people affected by dementia may triple in the next 50 years. Over the last two decades, research has focused on identifying potentially modifiable risk factors in development and progression of dementia, such as vitamin B12 and folate. Results concerning the effects of low folate and vitamin B12 on cognitive performance are mixed. The main objective of the present study was to investigate the effects of vitamin deficiency on cognitive functioning in a clinical sample of elderly individuals with cognitive problems using a comprehensive neuropsychological assessment. A retrospective chart-review was performed on the 102 records of patients from the Geriatrics Clinic at the University of North Texas Health Science Center who presented with cognitive deficits. Charts were reviewed to obtain data on vitamin supplementation, vitamin status, history of chronic conditions and other biochemical data. The available database was used to obtain data on neuropsychological assessment. The study demonstrated mild association between vitamin B12 and folate status and cognitive deficits. There appeared to be a higher cut-off level that is above the traditionally used levels for vitamin B12 and folate deficiency concentrations at which cognitive deficits became more pronounced. Clinical applications, limitations and suggestions for future research were discussed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".