Effect of soy protein isolate on glycemic control in adults with type 2 diabetes
Bibliographic record
Abstract
Evidence from observational, animal and cell culture studies support a role for soy protein and its isoflavones in the improvement of glycemic control in type 2 diabetes. The objective of this study was to determine the effect of isoflavone‐rich soy protein on markers of glycemic control in adults with type 2 diabetes. Using a double‐blind, randomized, crossover, placebo‐controlled intervention study design, adults with diet‐controlled type 2 diabetes (n=29) consumed SPI or milk protein isolate (MPI) for 57 days each separated by a 4‐week washout period. Fasting blood samples were collected on days 1 and 57 of each treatment period for analysis of fasting plasma glucose and glycated hemoglobin (HbA1C). An oral glucose tolerance test was also performed on days 1 and 57 of each treatment period for analysis of postprandial plasma glucose. Results showed no significant differences between treatments for fasting HbA1C, fasting plasma glucose or postprandial plasma glucose response, as summarized by area under the curve. These data do not support a role for soy protein in the improvement of glycemic control in adults with type 2 diabetes and contribute to a limited literature on the effects of soy protein on the management of type 2 diabetes. Supported by the Heart and Stroke Foundation of Ontario and the Solae Company.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| 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".