Design and baseline characteristics of the STRIDE trial: evaluating semaglutide in people with symptomatic peripheral artery disease and type 2 diabetes
Bibliographic record
Abstract
BACKGROUND: People with lower extremity peripheral artery disease (PAD) suffer from a high burden of symptoms and significant functional impairment. There are few therapies that improve function and reduce symptoms in this population. Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) have been shown to improve glycaemic control, reduce body weight, and reduce the risk of major adverse cardiovascular events in people with atherosclerotic cardiovascular disease and type 2 diabetes (T2D). METHODS AND RESULTS: STRIDE (NCT04560998) is a randomized, placebo-controlled, double-blind phase 3b trial evaluating 1 mg once-weekly subcutaneous semaglutide (GLP-1 RA) vs. placebo, in people with symptomatic PAD (Fontaine IIa claudication) and T2D. Eligible participants were ≥18 years, had haemodynamically stable PAD, had no planned intervention, and were not receiving a GLP-1 RA. The primary endpoint is change in maximum walking distance on a constant-load treadmill (CLT). Secondary endpoints include quality of life and cardiometabolic assessments. A total of 792 participants were randomized in 20 countries. Participants' median age was 68 and median T2D duration 12 years. Risk factors included 25.6% current smokers, 87.9% with hypertension, and 42.7% with coronary heart disease. The mean BMI was 29.6 kg/m2 and the mean HbA1C was 7.3%. Participants exhibited baseline functional impairment with a median maximum walking distance of 186 m on a CLT. CONCLUSION: STRIDE has enrolled participants with symptomatic PAD and T2D, frequent risk factors and comorbidities, and functional impairment. The trial will provide evidence for the functional outcomes with semaglutide in people with PAD and T2D.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".