Functional Status of Thyroid and Cognitive Functions after Menopause
Bibliographic record
Abstract
Background: Thyroid activity plays a role in cognition. However, the relation between the functional state of thyroid and neu-ropsychiatric changes proceeding with age among people without clinical symptoms of thyroid dysfunction is still unknown. The aim of this study was analysis of cognitive function levels in reference to thyroid examina-tion: thyroid-stimulating hormone (TSH), total thyroxin (TT4), triiodothyronine (TT3), free thyroxin (FT4), free triiodothyronine (FT3), thyroperoxidase antibodies (TPO-AB), and thyroglobulin antibodies (Tg-AB), TSH recep-tor antibodies (AB-TSHR) in women after menopause. Material/Methods: A group of 383 women was recruited for the study. The inclusion criteria were: minimum two years after the last menstruation and no dementia signs on Montreal Cognitive Assessment (MoCA). Computerized battery of Central Nervous System Vital Signs (CNS VS) test was used to diagnostic cognitive functions. The blood plas-ma values were determined: TSH, FT3, FT4, TT3, TT4, TPO-AB, Tg-AB, and AB-TSHR. Statistical analysis was per-formed using Pearson’s correlation coefficient and analysis of variance in STATISTICA software. Results: In women after menopause, TSH was negatively correlated with NCI results, executive functions, complex at-tention, and cognitive flexibility. FT4 was positively correlated with results of psychomotor speed. TT3 and TT4 were negatively correlated with results of memory and verbal memory. Furthermore, TT4 was negatively cor-related with NCI, executive functions, and cognitive flexibility. TPO-AB was negatively correlated with results
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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 | 0.000 |
| 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) | 0.002 | 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".