Stent placement in the superficial femoral and proximal popliteal arteries with the innova self‐expanding bare metal stent system
Bibliographic record
Abstract
OBJECTIVES: The SuperNOVA trial was designed to evaluate performance of the Innova Vascular Self-Expanding Stent System (Boston Scientific, Marlborough, MA) for treating lesions in the femoropopliteal arteries. METHODS: Patients with chronic lower limb peripheral artery disease (Rutherford category 2, 3, or 4) and atherosclerotic lesions in the native superficial femoral and/or proximal popliteal artery (lengths 30-190 mm) were enrolled in this single-arm, multinational study. Major adverse events (MAEs) were defined as all-cause death through 1 month, target limb major amputation, and target lesion revascularization (TLR). Vessel primary patency was defined as core laboratory-adjudicated duplex ultrasonography-derived peak systolic velocity ratio ≤2.4 in the absence of TLR, surgical bypass of the target lesion, or major amputation of the target limb. Primary safety and efficacy endpoints were evaluated at 12 months, with follow-up through 24 months also reported. RESULTS: SuperNOVA patients (N = 299; mean age 67.4 ± 9.7 years, 74% men, 41% with diabetes) had a mean lesion length of 93.2 mm. The MAE-free rate was 99.7% at 30 days, 85.8% at 12 months, and 77% at 24 months. Kaplan-Meier estimates of primary patency and TLR-free rates were 68.7% and 78.0%, respectively, at 24 months. Clinical improvements were sustained through 2 years, with 80% of patients displaying no or minimal symptoms (Rutherford category 0-1) at 24 months. CONCLUSIONS: In the SuperNOVA study, the Innova Stent System demonstrated an excellent safety profile and acceptable clinical outcomes despite the challenging anatomical characteristics of the lesions. © 2017 Wiley Periodicals, Inc.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".