Relationship between blood levels of visfatin and glycolipid metabolism and mild cognitive impairment in patients with type 2 diabetes
Bibliographic record
Abstract
Objective To explore the relationship between blood levels of visfatin and glycolipid metabolism and mild cognitive impairment (MCI) in patients with type 2 diabetes (T2DM). Methods From February 2016 to January 2017, a total of 91 patients with T2DM were recruited as investigation objects. Cognitive function was measured by Montreal Cognitive Assessment (MoCA), and fasting serum was collected to determine the relevant laboratory indexes. Results In the 91 patients, 50 cases developed MCI. Compared to non-MCI group, MCI group had significant difference in age, total cholesterol, insulin, insulin resistance index, visfatin, MoCA score and diabetic retinopathy (P<0.05). Pearson correlation analysis showed that the MoCA score was negatively correlated with visfatin and insulin resistance index (P<0.05). Further logistic regression analysis showed that age, diabetic retinopathy, insulin resistance index and visfatin were independent risk factors for MCI in T2DM patients. Conclusions MCI in T2DM patients increases with the increasing of elder, diabetic retinopathy, insulin resistance index, and visfatin. Key words: Nicotinamide phosphoribosyltransferase/ME; Glycolipids/ME; Diabetes mellitus, type 2/CO/ME; Cognition disorders/CO/ME
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".