Improved Glycemic Control due to Reduction in Glucagon Levels by the Administration of Once-Weekly Dulaglutide in a Non-Obese Patient With Type 2 Diabetes
Bibliographic record
Abstract
Treatment with glucagon-like peptide-1 receptor agonists (GLP-1RAs) is a cornerstone for the management of obesity and type 2 diabetes. GLP-1RAs improve the glycemic control by suppressing glucagon secretion and stimulating insulin secretion in patients with type 2 diabetes. Here, we report the case of a patient with type 2 diabetes with postprandial hyperglucagonemia who was successfully treated by the administration of once-weekly dulaglutide. A 67-year-old, non-obese woman was admitted to our hospital for preoperative glycemic control. Her glycemic control significantly improved after the administration of dulaglutide. Both fasting and postprandial plasma glucagon levels were effectively suppressed by dulaglutide, which ameliorated hyperglycemia. Thus, to achieve an optimal glycemic control, clinicians should consider suppressing glucagon secretion in addition to improving insulin secretion and sensitivity. J Endocrinol Metab. 2018;8(1):6-9 doi: https://doi.org/10.14740/jem486w
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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 | 0.000 |
| Science and technology studies | 0.001 | 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".