Bibliographic record
Abstract
Objectives：The aims of this study were to examine changes of cognitive function and its characteristics, and to identify influencing factors on cognitive fuction in patients with thyroid disorders. Methods：Data of 98 patients with thyroid disorders(16 males and 82 females) recruited from thyroid clinic in the Endocine Center of Kosin University Gospel Hospital were obtained by semi-structred interviews and MoCA-K(Korean Version of the Montreal Cognitive Assessment) and Korean version of the HDRS-17(Hamilton Depression Rating Scale-17). Results：1) The cognitive dysfunction was seen in 24 patients with thyroid disorders(24.49%). The total scores of the MoCA-K tests in thyroid patients with cognitive dysfunction(18.42±3.75) were significantly(p＜0.001) lower than those of controls(26.43±2.01). Their subtest scores of the MoCA-K such as visuospatial/executive, naming, attention, language, abstraction, delayed recall were also lower than those of controls. 2) The thyroid patients with MoCA-K ≤22 showed higher age and onset age of thyroid disorders, and had lower education and HDL-cholesterol(p＜0.001 respectively). 3) Total scores of the MoCA-K tests in patients with thyroid disorders had positive correlation with education(ρ=0.583, p＜0.01), and had negative correlation with age(ρ=-0.462, p＜0.01) and onset age of thyroid disorders(ρ=-0.494, p＜0.01). Otherwise, triiodothyronine and HDL-cholesterol had positive correlation, and sex and triglyceride had negative correlation with some subtest scores of the MoCA-K. Conclusions：The cognitive dysfunction accompanied in about 1/4 of patients with thyroid disorders. The finding that the cognitive function in thyroid disorders seemed to be mainly associated with age and onset age of thyroid disorders, suggested a possibility of an important role of aging mechanism.
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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".