Cognitive functions, lipid profile, and Apolipoprotein E gene polymorphism in postmenopausal women
Bibliographic record
Abstract
The objective of the study was investigation of the relationship between cognitive functions and lipid profile, BMI and change of body weight in postmenopausal women carriers of Apolipoprotein E gene polymorphisms (APOE). A group of 170 women was recruited to the study. The inclusion criteria were: minimum of two years after the last menstruation, FSH concentration 30 U/ml and no signs of dementia on the Montreal Cognitive Assessment (MoCA). A computerized battery of Central Nervous System Vital Signs (CNS VS) was used for diagnostic cognitive functions. APOE genotype was performed by multiplex PCR. In blood plasma were determined: triglycerides, total cholesterol and its fractions: HDL cholesterol and LDL cholesterol. Statistical analysis was performed using two-way analysis of variance in STATISTICA software. In the postmenopausal women examined, the carrier state of APOE gene polymorphism was associated with the level of triglycerides, and results concerning three cognitive functions: executive functions, psychomotor speed, and cognitive flexibility. Loss of body weight in postmenopausal women was related with lower results in neurocognitive index and the majority of cognitive functions. The results concerning cognitive functions in postmenopausal women in the study were not significantly related with lipid profile. Significant differences were observed according to APOE gene polymorphism in correlations between LDL/HDL and CHOL/HDL ratios, and results in the processing speed and reaction time, as well as between the BMI and results in processing speed in the postmenopausal women examined.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".