α‐Glucosidase inhibitors
Bibliographic record
Abstract
Alpha-glucosidase inhibitors are oral antidiabetic medications that delay the digestion of complex carbohydrates by acting as competitive inhibitors of intestinal α-glucosidases. By delaying glucose absorption, these drugs decrease the postprandial rise in plasma glucose and thus the rise in plasma insulin, whether they are used as monotherapy or in combination for the treatment of diabetes. They show a moderate but constant and sustained reduction of HbA1c (˜0.7%) regardless of concomitant medication in patients with both type 2 and type 1 diabetes. In subjects with impaired glucose tolerance, they decrease the risk of progressing to type 2 diabetes, and are associated with a reduction in new cases of hypertension and cardiovascular events. Alpha-glucosidase inhibitors are not associated with hypoglycemic risk or weight gain. Alhough they are frequently associated with gastrointestinal symptoms due to undigested carbohydrates reaching the colon, they have an excellent safety profile. These side effects can be minimized by the “start low and go slow” policy.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.045 | 0.018 |
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".