Effect of chronic liraglutide therapy and its withdrawal on time to postchallenge peak glucose in type 2 diabetes
Bibliographic record
Abstract
Delayed timing of peak serum glucose following an oral glucose challenge can predict declining β-cell function and worsening glucose tolerance over time. Accordingly, postchallenge peak glucose is typically delayed in patients with type 2 diabetes (T2DM). However, little is known about the capacity of antidiabetic medications to reverse this delay. Thus, we sought to evaluate the effect of the glucagon-like peptide-1 agonist liraglutide on time to peak glucose in early T2DM. In this secondary analysis of a double-blind placebo-controlled trial, 51 patients with T2DM of 2.6 ± 1.9 yr duration were randomized to daily subcutaneous liraglutide or placebo injection for 48 wk, with oral glucose tolerance test (OGTT) performed every 12 wk while on therapy and after a 2-wk washout. On each OGTT, time to peak glucose was determined from venous glucose measurements at 0, 10, 20, 30, 60, 90, and 120 min. At randomization, most patients in both arms exhibited peak glucose at 90 min postchallenge. By 12 wk, 65.4% of the liraglutide arm had shifted to an earlier peak (vs. 36% on placebo; P = 0.19), with little change thereafter at 24, 36, and 48 wk. After the 2-wk washout, however, 57.7% of those who had been on liraglutide reverted to a later peak (vs. 4.5% on placebo; P < 0.001). This shift was associated with declining β-cell function ( P = 0.001), resulting in higher 2-h blood glucose at washout in the liraglutide arm compared with placebo ( P = 0.001). Thus, although liraglutide possibly might improve the delay in peak glucose, its cessation yielded a worsening thereof and higher glycemia. The mechanisms underlying these observations and their clinical implications warrant further investigation.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".