Benefit of Semaglutide in Symptomatic Peripheral Artery Disease by Baseline Type 2 Diabetes Characteristics: Insights From STRIDE, a Randomized, Placebo-Controlled, Double-Blind Trial
Bibliographic record
Abstract
OBJECTIVE: The Semaglutide and Walking Capacity in People with Symptomatic Peripheral Artery Disease and Type 2 Diabetes (STRIDE) trial (NCT04560998) showed that once-weekly subcutaneous semaglutide 1.0 mg significantly improved functional outcomes, symptoms, and quality of life in individuals with symptomatic peripheral artery disease (PAD) and type 2 diabetes. Whether these benefits are consistent across diabetes-related characteristics remains unclear. RESEARCH DESIGN AND METHODS: The primary outcome was the ratio to baseline (ETR) in maximum walking distance (MWD), with pain-free walking distance (PFWD) as a key secondary end point. Both were measured at 52 weeks using a constant load treadmill. Subgroup analyses were performed by diabetes duration, BMI, HbA1c, and diabetes medications. A mixed model for repeated measurements was used, incorporating treatment, region, and subgroup as fixed factors, and baseline value as covariate, along with the treatment-by-subgroup interaction. RESULTS: Among 792 participants (median diabetes duration 12.2 years, HbA1c 7.1%, and BMI 28.7 kg/m2), 35.1% used sodium-glucose cotransporter 2 inhibitors and 31.7% used insulin. Semaglutide significantly improved MWD regardless of diabetes duration (ETR of 1.15 vs. 1.13 for <10 vs. ≥10 years, P = 0.80), BMI (1.12 vs. 1.16 for <30 vs. ≥30 kg/m2, P = 0.58), HbA1c (1.13 for <7% and ≥7%, P = 0.99), or medication use. Semaglutide also improved PFWD across subgroups (P > 0.1 for all interactions). BMI reduction correlated weakly with MWD improvements and was more pronounced in the control individuals with higher baseline BMI. Safety outcomes were consistent across subgroups. CONCLUSIONS: Semaglutide improved walking function in people with PAD and type 2 diabetes, including individuals without obesity and those with well-controlled HbA1c. Benefits were consistent across BMI and HbA1c categories, supporting effectiveness beyond weight or glycemic changes.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".