Dietary Intervention to Improve the Curative Effect of Cognitive Ability in Patients with Mild Cognitive Impairment
Bibliographic record
Abstract
Objective To study the dietary intervention effect on cognitive ability in patients with mild cognitive impairment.Methods 90 patients with hypercholesterolemia and mild cognitive impairment( MCI) were randomly divided into research group and control group according to the blood cholesterol levels,45 cases in each group. The patients of research group took capsules with 1000mg fish oil and were given daily dietary intervention for 12 weeks,the control group were given dietary intervention for 12 weeks. The total cholesterol( TC),triglyceride( TG),high-density lipoprotein cholesterol( HDL-C),low density lipoprotein cholesterol( LDL-C) levels and the cognitive ability were measured both before and after treatment. Results TC、TG、LDL-C levels were significantly reduced( p 0. 01) and HDL-C was significantly increased after treatment,TC of the research group was reduced lower than the control group( P 0. 01); The MoCA score of the control group decreased,there was no statistically significant difference compared with before,but in note( P 0. 05) and delayed recall( P 0. 01) scores were significantly decreased; MoCA scores of the Research group increased,the difference was statistically significant compared with before( P 0. 01),mainly embodied in the abstract and delayed recall scores. Conclusion Individualized diet therapy can reduce total blood cholesterol levels in patients with mild cognitive impairment,further fortified can both reduce total blood cholesterol and improve patients' cognitive situation.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".