Gastrointestinal safety across the albiglutide development programme
Bibliographic record
Abstract
Gastrointestinal (GI) adverse events (AEs) are the most frequently reported treatment-related AEs associated with glucagon-like peptide-1 receptor agonists (GLP-1RAs) in the treatment of type 2 diabetes mellitus. The GI safety of albiglutide, a once-weekly GLP-1RA, was assessed using data from five phase III studies. In a pooled analysis of four placebo-controlled trials, the most common GI AEs were diarrhoea (albiglutide, 14.5% vs. placebo, 11.5%) and nausea (albiglutide, 11.9% vs. placebo, 10.3%), with most patients experiencing 1-2 events. The majority were mild or moderate in intensity and their median duration was 3-4 days. Vomiting occurred in 4.9% of patients in the albiglutide vs. 2.6% in the placebo group. For both albiglutide and placebo, serious GI AEs (2.0% vs. 1.5%) and withdrawals attributable to GI AEs (1.7% vs. 1.5%) were low. In a 32-week trial of albiglutide 50 mg weekly versus liraglutide 1.8 mg daily, nausea occurred in 9.9% of patients in the albiglutide group vs. 29.2% in the liraglutide group. Vomiting occurred in 5.0% in the albiglutide vs. 9.3% in the liraglutide group. In conclusion, albiglutide has an acceptable GI tolerability profile, with nausea and vomiting rates slightly higher than those for placebo but lower than those for liraglutide.
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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 | 0.007 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".