Use of once‐weekly semaglutide in patients with type <scp>2</scp> diabetes in routine clinical practice: Results from the <scp>SURE C</scp> anada multicentre, prospective, observational study
Bibliographic record
Abstract
AIM: To investigate once-weekly (OW) semaglutide, a glucagon-like peptide-1 receptor agonist (GLP-1RA), in patients with type 2 diabetes (T2D) in routine clinical practice. METHODS: The SURE Canada study was a multicenter, prospective, observational study. Adults with T2D and one or more documented HbA1c values 12 weeks or less before semaglutide initiation were enrolled. The primary endpoint was change in HbA1c from baseline to end of study (EOS; ~30 weeks). Secondary endpoints included change in body weight (BW), waist circumference and patient-reported outcomes (PROs) and the proportion of patients achieving HbA1c of less than 7.0%, weight loss (WL) of 5% or higher, and a composite of HbA1c reduction of 1% or higher and WL of 3% or higher at EOS. Data were analysed and presented for patients on semaglutide at EOS overall and for the following baseline medication subgroups: oral antihyperglycaemic drugs (OADs) only; GLP-1RA experienced; insulin ± OADs without GLP-1RA. RESULTS: In total, 452 patients initiated semaglutide and 356 completed the study on treatment. For the 452 patients, mean baseline HbA1c was 8.1%; 86 (19.0%) patients had HbA1c of less than 7.0%. Mean dose of semaglutide at EOS was 0.76 ± 0.31 mg. Mean HbA1c was reduced by 0.9%-point (95% confidence interval [CI]: 0.97; 0.78). Mean BW was reduced by 4.3 kg (95% CI: 4.79; 3.76). At EOS, 46.9% of patients achieved HbA1c of less than 7.0%, 40.9% achieved WL of 5% or higher and 24.1% achieved the composite endpoint. PROs improved from baseline to EOS. No new safety concerns were reported. CONCLUSIONS: In SURE Canada, patients treated with OW semaglutide in routine clinical practice experienced clinically significant improvements in HbA1c, BW and other outcomes, supporting semaglutide use in routine clinical practice.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 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) | 0.001 | 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".