Analysis of the correlation between thyroid function and cognitive function ients with subcortical arteriosclerotic encephalopathy
Bibliographic record
Abstract
Objective To explore the correlation between thyroid function and cognitive ability in patients with subcortical arteriosclerotic encephalopathy. Methods Montreal cognitive assessment scale (Montreal Cognitive Assessment, MoCA) was used to evaluate the cognitive function of SAE patients with normal thyroid function and hypothyroidism.And the difference in the risk factors of SAE cognitive ability in patients with different thyroid functions was analyzed. Results There were no significant differences in gender, age, risk factors of hypertension, cerebral infarction, diabetes and smoking between the two groups (P>0.05). The levels of FT3, FT4, TSH, MoCA and ADL in patients with hypothyroidism were (2.92±0.35)pmol/L, (15.61±2.76)pmol/L, (13.05±1.64) mU/L, (12.73±5.75)points, (45.64±25.77)points, respectively.The levels of FT3, FT4 and TSH in normal thyroid function group and MoCA, ADL scores were (4.27±0.55)pmol/L, (16.74±2.35)pmol/L, (2.73±0.38) mU/L, (18.15±5.35)points, (62.17±26.72)points, respectively.The data of the hypothyroidism group was significantly lower than thst in the normal thyroid function group, and the difference was statistically significant (t=3.591, 3.012, 12.753, 8.967, 15.442, P<0.05). FT3 levels in SAE patients were positively correlated with MoCA score and ADL score (r=0.518, 0.617, P=0.026, 0.018), while there was no significant correlation between FT4 level and MoCA and ADL score (r=0.015, 0.007, P=0.852, 0.074). MoCA score and ADL score were negatively correlated with TSH level (r=-0.651, -0.582, P=0.016, 0.005). Conclusion Thyroid function is significantly correlated with cognitive ability of SAE patients.Thyroid function may be a clinical index for patients with subcortical arteriosclerosis, and provide a basis for rational drug use in patients with subcortical arteriosclerosis. Key words: Thyroid function; Subcortical arteriosclerotic encephalopathy; Cognitive dysfunction
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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 | 0.002 |
| 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".