Folic acid supplementation improves cognitive function in participants with cerebral small vascular disease-related cognitive impairment: a randomized controlled trial
Bibliographic record
Abstract
BACKGROUND: The potential improvement of cognitive function through folic acid (FA) supplementation in patients with vascular cognitive impairment (VCI) remains unclear, and no randomized controlled trials (RCTs) have been conducted specifically in populations with cerebral small vessel disease-related cognitive impairment (CSVD-CI). OBJECTIVE: This study aimed to explore the effects of FA supplementation on cognitive function and angiogenesis-related indicators in patients with CSVD-CI. DESIGN: Double-blinded, parallel group, randomized controlled trial, with a six-month follow-up period. SETTING: Department of neurology and neurosurgery in Shanxi, China. PARTICIPANTS: 220 CSVD-CI patients. INTERVENTIONS: The intervention consisted of FA tablets (0.4 mg/tablet) administered orally at a dose of two tablets daily for six months, while the placebo tablets were identical in appearance and administration but lacked FA. MEASUREMENTS: The primary outcome was the Montreal Cognitive Assessment (MoCA) score at six months assessed in the intention-to-treat (ITT) population. Secondary outcomes included Mini-Mental State Examination (MMSE) score, Trail Making Test (TMT), Tinetti Performance Oriented Mobility Assessment (POMA), and five-level EuroQol five-dimensional questionnaire (EQ-5D-5 L). RESULTS: MoCA and MMSE scores improved significantly in the FA group compared to placebo (both P < 0.05). Additionally, the FA group had statistically significant increases in serum folate and decreases in serum homocysteine (Hcy) (both P < 0.001). Matrix metalloproteinase-9 (MMP-9) expression decreased significantly in the FA group compared with placebo (P < 0.05). CONCLUSIONS: FA improved cognitive outcomes in CSVD-CI, accompanied by a reduction in serum Hcy levels and MMP-9 expression. Early FA supplementation could help prevent vascular-related cognitive decline in CSVD-CI patients.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".