Serum Eicosapentaenoic and Arachidonic Acids Concentration and Cognitive Function in Patients With Coronary Artery Disease
Bibliographic record
Abstract
INTRODUCTION: Recent studies have shown that Polyunsaturated Fatty Acids (PUFAs), including Eicosapentaenoic Acid (EPA), and Arachidonic Acid (AA), are associated with cognitive functions in patients with Coronary Artery Disease (CAD). Nevertheless, controversial results have been reported, too. The current study aimed to clarify the association of serum EPA and AA levels with cognitive decline in an Iranian sample with CAD. METHODS: We evaluated cognitive function with the Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA), in relation to serum levels of EPA and AA, in 179 CAD patients. The associations between the MMSE and MoCA scores and the other demographic parameters were evaluated. RESULTS: Patients with CAD generally had mild cognitive impairment. But we could not find any significant correlation between PUFAs and cognitive function. However, BMI was associated with EPA/MoCA; age was associated with MMSE/MoCA and BMI. Finally, the correlation between sex and MMSE/MoCA was significant. CONCLUSION: Subjects generally had mild cognitive impairment, but we could not find any significant correlation between serum EPA and AA levels with cognitive function.
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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 | 0.001 |
| 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".