Real‐world persistence with liraglutide 3.0 mg for weight management and the SaxendaCare® patient support program
Bibliographic record
Abstract
Summary Objective Weight management medications can significantly increase patients' chances of achieving a clinically meaningful weight loss if patients persist with treatment. This retrospective observational study of de‐identified medical records of 311 patients is the first real‐world study examining persistence with liraglutide 3.0 mg in Canada, and also investigates associations between the SaxendaCare® patient support program and persistence and weight loss. Methods Overall persistence was assessed, as well as associations of enrollment in SaxendaCare®, persistence and weight loss. Results Overall mean (standard deviation) persistence with liraglutide 3.0 mg was 6.3 (4.1) months, and 67.5% (n = 210) and 53.7% (n = 167) of patients persisted for ≥4 and ≥ 6 months, respectively. Enrollment in SaxendaCare® was associated with significantly longer persistence with liraglutide 3.0 mg and greater weight loss. Patients enrolled in SaxendaCare® (n = 119) persisted for 7.9 (4.0) versus 5.2 (3.8) months for those not enrolled (n = 184) (p < 0.001), and had significantly greater percent weight loss after 6 months regardless of the duration of their persistence (−7.9% vs −5.5% from baseline, p < 0.01). Conclusions These findings suggest that, in clinical settings, persistence with liraglutide 3.0 mg can exceed 6 months, and that enrolling in SaxendaCare® may be associated with comparatively longer persistence and, regardless of persistence, greater weight loss.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".