Comparison of the biodegradable polymer everolimus-eluting stent with contemporary drug-eluting stents: A systematic review and meta-analysis
Bibliographic record
Abstract
AIMS: Despite similar efficacy and safety profile in pilot studies, bioresorbable polymer drug-eluting stents (BP-DES) could have potential benefit over latest generation durable polymer (DP)-DES by facilitating vessel healing, therefore reducing inflammation and neoatherosclerosis leading to enhanced clinical safety. Therefore, we sought to perform a meta-analysis of randomized clinical trials (RCTs) comparing the safety and efficacy of everolimus-eluting BP-DES (BP-EES) to second-generation DP-DES. METHODS AND RESULTS: We conducted a systematic review and meta-analysis to examine the safety and efficacy of BP-EES in patients treated for coronary artery disease. We searched PubMed, Scopus, and the Cochrane Library through February 2018 for RCTs that included outcome data on BP-EES. We identified four eligible studies, which included a total of 4631 patients. Three studies reported a follow-up of one year and one study of five years. The BP-EES group, included 2315 patients and the DP-DES group included 2316 patients (1143 treated with DP-EES and 1173 treated with zotarolimus eluting DP-DES). Patient's characteristics were comparable between the two groups except for higher prevalence of prior MI in the DP-DES group (25.7 vs 22.5%, respectively, p = 0.001). Procedural characteristics were comparable among groups except for slightly longer lesions in the BP-EES group compared to the DP-DES group (mean 15.1 vs 14.9 mm, p = 0.04). No significant differences were observed for cardiac mortality (p = 0.72), occurrence of MI (p = 0.64), any TLR (p = 0.93), ST (p = 0.85) or major adverse cardiac events (p = 0.43). CONCLUSION: Overall, based on the available data BP-EES had similar one-year outcomes to contemporary DP-DES. Whether these devices could enhance clinical safety remains to be evaluated at longer follow-up.
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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 | 0.006 | 0.015 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.017 | 0.032 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".