The <scp>Real‐World</scp> Observational Prospective Study of Health Outcomes with Dulaglutide and Liraglutide in Patients with Type 2 Diabetes ( <scp>TROPHIES</scp> ): Patient disposition, clinical characteristics and treatment persistence at 12 months
Bibliographic record
Abstract
AIMS: The primary objective of the TROPHIES observational study is to estimate the duration of treatment on dulaglutide or liraglutide without a significant treatment change by 24 months in patients with type 2 diabetes (T2D) initiating their first injectable treatment with these glucagon-like peptide-1 receptor agonists (GLP-1 RAs). This manuscript presents 12-month interim data. MATERIALS AND METHODS: TROPHIES is a prospective, non-comparative, observational study of patients with T2D in Europe, naïve to injectable antihyperglycaemic treatments and initiating dulaglutide or liraglutide. Data on clinical characteristics, GLP-1 RA persistence and treatment patterns of glucose-lowering medication were collected at initiation of first injectable therapy and by 12 months. RESULTS: By 12 months, 1014 dulaglutide and 991 liraglutide patients were eligible across France, Germany and Italy. Both cohorts presented a high probability [95% confidence interval (CI)] of GLP-1 RA persistence [dulaglutide, 0.88 (0.86 to 0.90); liraglutide, 0.83 (0.80 to 0.85)] and reduction in mean glycated haemoglobin percentage (95% CI) from baseline [dulaglutide, -1.18 (-1.27 to -1.08); liraglutide, -1.15 (-1.26 to -1.05)] with 48.2% of dulaglutide and 41.2% of liraglutide patients reaching their individualized glycated haemoglobin percentage target set by the physician at baseline. Mean weight (95% CI) change from baseline was -3.2 kg (-3.6 to -2.8) for dulaglutide and -3.4 kg (-3.9 to -3.0) for liraglutide. Slight changes in concomitant medications were observed compared with baseline. CONCLUSIONS: In the real-world setting, dulaglutide and liraglutide cohorts achieved good persistence with similarly improved glycaemic control that was accompanied by weight loss at 12 months, consistent with previous clinical trial results.
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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 | 0.002 | 0.002 |
| 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 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".