Midterm clinical outcomes with everolimus-eluting bioresorbable scaffolds versus everolimus-eluting metallic stents for percutaneous coronary interventions: a meta-analysis of randomised trials
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
bioresorbable vascular scaffold (BVS) versus an everolimus-eluting metallic stent (EES) for percutaneous coronary interventions. METHODS AND RESULTS: We performed a meta-analysis of aggregate data by searching Medline, EMBASE, Cochrane databases and proceedings of international meetings for randomised trials reporting the clinical outcomes beyond one year of patients treated with BVS versus EES. The primary efficacy and safety outcomes were target lesion failure (TLF) and definite/probable stent (scaffold) thrombosis (ST), respectively. Secondary outcomes were the individual components of the primary efficacy outcome (cardiac death, target vessel myocardial infarction [MI], and ischaemia-driven target lesion revascularisation [ID-TLR]). A total of 5,583 patients randomly received BVS (n=3,261) or EES (n=2,322) in seven trials. Weighted median follow-up was 26.6 months. Patients treated with BVS versus EES showed a higher risk of TLF (odds ratio [OR] 1.35, 95% confidence interval [CI]: 1.11-1.65; p=0.0028) due to a higher risk of target vessel MI (OR 1.68, 95% CI: 1.21-2.33; p=0.008) and ID-TLR (OR 1.42, 95% CI: 1.10-1.84; p=0.007) though the risk for cardiac death was not statistically different (OR 0.89, 95% CI: 0.55-1.43; p=0.56). Patients treated with BVS versus EES showed a higher risk of definite/probable ST (OR 3.24, 95% CI: 1.92-5.49; p<0.0001), particularly in the period beyond one year after implantation (OR 4.03, 95% CI: 1.49-10.87; p=0.006). CONCLUSIONS: At midterm follow-up, patients treated with BVS as compared to those treated with EES display a higher risk of target lesion failure and scaffold thrombosis.
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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 | 0.009 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.016 | 0.064 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 it