The Effect of Mulberry Leaf Tea on Postprandial Glycemic Control and Insulin Sensitivity: A Randomized, Placebo-Controlled Crossover Study
Bibliographic record
Abstract
Leaves of mulberry (Morus alba, L.) have been one of the prominent herbs widely used by traditional medicine for the treatment of diabetes mellitus. The objective of this study was to evaluate the effect of mulberry leaf tea on postprandial plasma glucose and insulin sensitivity after the ingestion of sucrose solution in non-diabetic subjects. This study was conducted on 14 subjects, with a crossover design. Subjects were initially screened for non-diabetic status (FBS < 126 mg/dL). Subjects were randomized to either mulberry leaf tea or water as control. The drink was consumed 30 minutes prior to oral administration of 75 grams sucrose solution. Blood samples were collected before (time point 0) and after sucrose ingestion at 30, 60, 90, 120, and 150 minutes. The treatment group which received mulberry leaf tea prior to the tolerance test tends to have a lower level of plasma glucose, serum insulin concentrations and AUC0-150 compared to the controlled group, but without significant difference. The mean difference of the incremental glucose level at each time point also tends to be lower for the mulberry group, with significant difference at 30-min time point (p = 0.04). No significant differences were found in insulin sensitivity. Therefore, the consumption of mulberry leaf tea may aid in postprandial glycemic control during the first 30 minutes after meal.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Randomized trial | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Randomized trial | high |
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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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, unvalidatedLabeled directly by 2 models reading the full record.
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".