Real-world effectiveness, adherence and persistence among patients with type 2 diabetes mellitus initiating dulaglutide treatment
Bibliographic record
Abstract
OBJECTIVES: To assess glycemic effectiveness, adherence and persistence within 6 months of treatment initiation with dulaglutide, a once weekly GLP-1 receptor agonist, in a US real-world setting. METHODS: This retrospective claims analysis included adults (≥18 years) with T2DM from the HealthCore Integrated Research Database, who had HbA1c laboratory results around initiation and within 6 months after initiation. Glycemic control was assessed by change in HbA1c from pre-initiation to post-initiation. Patients were considered adherent if their proportion of days covered (PDC) was ≥0.80; persistence was measured as days of continuous therapy from initiation to 6 months after initiation with no gaps >45 days between fills. RESULTS: Of the 308 analyzed patients, the majority (n = 188; 61%) were adherent to dulaglutide (mean PDC 0.76; SD 0.26), with 115 patients (37%) discontinuing treatment. Mean persistence was 152 days/5 months. Mean HbA1c decreased from 8.49% (SD 1.70, median 8.20%) at baseline to 7.59% (SD 1.51, median 7.30%) at follow-up, corresponding to a mean HbA1c change of -0.90% (95% confidence interval [CI] -1.08 to -0.73; p < .01; median -0.70%). Patients who were adherent to or persistent with dulaglutide experienced larger reductions (-1.14% and -1.12% respectively), as did those without prior GLP-1 RA use (-1.03%). The proportion of patients with HbA1c <7% increased from 18% to 40%. CONCLUSIONS: Dulaglutide was associated with a significant decrease in HbA1c levels 6 months after treatment initiation. Patients who adhered to or persisted with dulaglutide therapy, or were naïve to GLP-1 RA use, experienced greater decreases in HbA1c levels.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".