Sodium–glucose cotransporter 2 inhibition through henagliflozin ameliorates cognitive impairment in patients with type 2 diabetes
Bibliographic record
Abstract
AIMS/INTRODUCTION: To assess whether the sodium-glucose cotransporter 2 inhibitor, henagliflozin, improves cognitive impairment in patients with type 2 diabetes. MATERIALS AND METHODS: We carried out a prospective study on 290 patients with type 2 diabetes and cognitive impairment. Montreal Cognitive Assessment scores and plasma phosphorylated tau181 levels were used to assess cognition. The association between henagliflozin use and changes in cognition was examined using multivariable logistic regression analysis. RESULTS: Montreal Cognitive Assessment scores at enrollment and after 6 months were 21 (interquartile range [IQR]19-23) versus 22 (IQR 20-25; P < 0.0001) in all patients, 21 (IQR 19-23) versus 24 (IQR 22-26; P < 0.0001) in the henagliflozin group and 21 (IQR 19-22) versus 21 (IQR 19-23; P > 0.05) in the non-sodium-glucose cotransporter 2 inhibitor group. Logistic regression analysis showed that henagliflozin treatment was associated with Montreal Cognitive Assessment score improvement independent of potential confounders (odds ratio [OR] 3.670, 95% confidence interval [CI] 2.224-6.056, P < 0.0001). Additionally, plasma phosphorylated tau181 levels significantly decreased at 6-month follow up in all patients (OR 11.5, 95% CI 9.9-13.7 vs OR 10.1, 95% CI 7.8-12.9, P < 0.0001) and in the henagliflozin group (OR 11.5, 95% CI 10.3-13.0 vs OR 9.2, 95% CI 7.1-10.7, P < 0.0001), but not in the non-sodium-glucose cotransporter 2 inhibitor group. Henagliflozin treatment was independently associated with decreased phosphorylated tau181 levels (OR 3.670, 95% CI 1.598-4.213, P < 0.0001). CONCLUSIONS: Henagliflozin treatment was independently associated with improvements in Montreal Cognitive Assessment scores and plasma phosphorylated tau181 levels, indicating significant beneficial effects on cognitive impairment in patients with type 2 diabetes.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".