A survey of physician experience and treatment satisfaction prescribing once-weekly semaglutide injections for patients with type 2 diabetes in Canada
Bibliographic record
Abstract
We assessed physicians' experiences of prescribing once-weekly (OW) semaglutide to patients with type 2 diabetes (T2D) in Canada. Physicians who had prescribed OW semaglutide to ≥2 patients with T2D in the past 12 months and had been doing so for ≥3 months were surveyed during 1-17 October 2018. Prescribing reasons, treatment satisfaction and reasons for discontinuation were assessed. Of the 50 participants, 72% and 54% were prescribed OW semaglutide due to its superior glycemic control and effect on weight, respectively. Most physicians were more satisfied with injection frequency (62%), effect on weight (60%), achieving HbA1c target (54%) and therapy simplicity (50%) with OW semaglutide versus other glucagon-like peptide-1 receptor agonists. Treatment discontinuations in 13% of OW semaglutide-treated patients were reported by physicians, primarily due to gastrointestinal symptoms (70%). The survey suggests that physicians are satisfied with the OW semaglutide clinical effects. Video Abstract: http://links.lww.com/CAEN/A34.
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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 | 0.001 | 0.006 |
| 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 | 0.000 |
| 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".