Incretin Kinetics Before and After Miglitol in Japanese Patients With Late Dumping Syndrome
Bibliographic record
Abstract
BACKGROUND: In patients with late dumping syndrome following gastrectomy, it has been reported that hypoglycemia occurs due to inhibition of glucagon secretion as a result of excessive insulin production facilitated by an increase in glucagon-like peptide-1 (GLP-1). METHODS: To determine the kinetics of incretins in Japanese patients with late dumping syndrome, an oral glucose tolerance test was carried out before and after miglitol administration, and the kinetics of insulin and incretins were analyzed. RESULTS: After miglitol administration, there was improvement of hypoglycemia and early phase insulin secretion, with persistent excessive insulin secretion being minimized. These findings revealed that miglitol inhibited rapid excessive influx of carbohydrates into the blood and persistent elevation of GLP-1, resulting in improvement of early phase insulin secretion and minimizing persistent excessive insulin secretion. CONCLUSIONS: Eating frequent small meals is generally effective for late dumping syndrome, but patients often find it difficult to continue such a regimen. Based on the present analysis of incretin kinetics, miglitol may be a useful treatment option for late dumping syndrome.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 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".