Improvements in patient outcomes with next generation endovascular aortic repair devices in the ENGAGE Global Registry and the EVAR-1 clinical trial
Bibliographic record
Abstract
BACKGROUND: The outcomes from the randomized controlled trials (RCTs) comparing endovascular aortic aneurysm repair (EVAR) to open surgical repair (OSR) may no longer be reflective of currently technology. Here the EVAR-1 trial and the ENGAGE registry are examined to assess potential improvements in outcomes with modern stent graft systems. METHODS: EVAR-1 was a multicenter, prospective, randomized controlled trial in the UK and patients were enrolled between 1999 and 2004 and treated with first- and second-generation devices. ENGAGE is an observational, nonrandomized, prospective registry that completed enrollment between 2009 and 2011. All ENGAGE patients were treated with the Endurant AAA Stent Graft System. A descriptive comparison of the published four-year outcomes of all-cause mortality (ACM), aneurysm-related mortality (ARM), rupture after elective EVAR, and reinterventions are reported. RESULTS: Through the four-year timepoint, freedom from ACM was 74.4% in the EVAR-1 Trial and 74.6% in the ENGAGE registry. ARM in the EVAR-1 trial was 4.2% and in the ENGAGE registry was 1.9%. Death due to rupture through four years was 1.6% (10/626) and 0.5% (6/1263) in the EVAR-1 and ENGAGE patients, respectively. In the EVAR-1 trial, the proportion of patients requiring at least one reintervention through the four-year timepoint was 19.3% (121/626) whereas in the ENGAGE registry, reinterventions occurred in 10.9% (138/1263) of patients. CONCLUSIONS: EVAR patient outcomes have improved since the time of the original EVAR vs. OSR trials and data from real-world registries should be considered a primary resource for developing new guidelines for patient selection and management.
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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 | 0.011 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".