Relationship between metabolic syndrome and mild cognitive impairment in elderly patients
Bibliographic record
Abstract
Objective To evaluate the cognition of Senile Metabolic Syndrome(MS) patients and to investigate the relationship between metabolism-related indices and MCI.Methods 74 cases with MS(MS group),45 patients with vascular risk factors(NMS group) and 32 normal controls were enrolled.Mini-mental state examination(MMSE),Montreal cognitive assessment(MoCA),Digit-Symbo1 Test(DST),Auditory verbal memory test(AVMT),Trail making test(TMT),Sunderland clock drawing test(CDT),and verbal Fluency test(VFT) were applied to evaluate cognitive function.Biochemical variables were measured by routine methods.Results ① The incidences of MCI in the MS and NMS groups were 52.7% and 33.3% respectively.There was statistical difference in incidence between the two groups(P0.01);② The levels of waist circumference,body-mass index(BMI),systolic blood pressure(SBP),diastolic blood pressure(DBP),and triglycerides(TG) in the MCI group were higher than those in the non-MCI group(P0.05);③ The general cognition function in the MS and NMS groups was significantly lower than thatin the control group(P0.001).MS cases achieved significantly lower scores than NMS cases in memory,orientation,attention and executive function(P0.01);④ The scores of MoCA,DST,AVMT and TMT in MS group were lower than those in the NMS group(P0.05);⑤ The four most related risk factors affecting cognitive domain of MCI patients were FBG,blood lipids,SBP and waist circumference.The severity of cognitive impairment was directly associated with the level of metabolic indexes.Conclusions Elderly patients with metabolic syndrome show a deterioration in memory,calculation,attention and visuospatial perception.Patients with MCI often have accompanying metabolic dysregulation,and there is positive correlation between the number of abnormal metabolism-related indices and the degree of cognitive impairment.
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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".