Treatment satisfaction in people with type 2 diabetes mellitus treated with once‐weekly dulaglutide: data from the <scp>AWARD</scp> ‐1 and <scp>AWARD</scp> ‐3 clinical trials
Bibliographic record
Abstract
AIMS: To compare treatment satisfaction among people with type 2 diabetes receiving dulaglutide 1.5 mg and dulaglutide 0.75 mg (a once-weekly, long-acting, glucagon-like peptide-1 receptor agonist) with those receiving either exenatide or placebo (AWARD-1 study) or metformin (AWARD-3 study) over 52 weeks. METHODS: The Diabetes Treatment Satisfaction Questionnaire status version (DTSQs) and change version (DTSQc) were used to evaluate total treatment satisfaction and perceived frequency of hyperglycaemia and hypoglycaemia. RESULTS: In the AWARD-1 study, significant improvements from baseline were observed in total DTSQs score for both dulaglutide doses (26 and 52 weeks) and exenatide (26 weeks). The improvement was significantly greater with both dulaglutide doses compared with placebo (26 weeks) and exenatide (26 and 52 weeks). The perceived frequency of hyperglycaemia was lower for all groups at 26 and 52 weeks compared with baseline. The improvement was greater with both dulaglutide doses and exenatide compared with placebo at 26 weeks, and was also greater with both dulaglutide doses compared with exenatide at 26 and 52 weeks. The exenatide group had an increase in perceived frequency of hypoglycaemia at 26 and 52 weeks. In the AWARD-3 study, significant improvements from baseline were observed for total DTSQs scores in all groups at 26 and 52 weeks. Perceived frequency of hyperglycaemia was lower for all groups at 26 and 52 weeks compared with baseline, and this improvement was greater with both dulaglutide doses compared with metformin at 52 weeks. CONCLUSIONS: Dulaglutide was associated with improvements in treatment satisfaction and a decrease in perceived frequency of hyperglycaemia.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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".