An international survey of clinical practice during primary percutaneous coronary intervention for ST-elevation myocardial infarction with a focus on aspiration thrombectomy
Bibliographic record
Abstract
AIMS: Data suggest that there is a variable use of thrombectomy during primary percutaneous coronary interventions (PPCI). We sought to evaluate practices during PPCI for ST-elevation myocardial infarction (STEMI), including the use of aspiration thrombectomy, and to determine the feasibility of conducting a definitive aspiration thrombectomy trial. METHODS AND RESULTS: A 27-item online survey was distributed to 1,607 interventional cardiologists internationally. A total of 461 responses were received. During PPCI, aspiration thrombectomy is used routinely by 36% of respondents, and selectively by 60%. Twenty-five percent of respondents reported experiencing a complication related to thrombectomy including: vessel dissection (13%), bringing thrombus back into left main coronary artery from target vessel (5%), stroke or transient ischaemic attack (2%), and coronary artery perforation (1%). The vast majority of respondents (89%) believe that a confirmatory aspiration thrombectomy trial is needed and 85% would be willing to randomise patients in such a trial. CONCLUSIONS: The majority of interventional cardiologists surveyed are not using thrombectomy routinely during PPCI. The survey results suggest that a large, confirmatory thrombectomy trial is needed and feasible in the current era. The survey also highlights a significant level of variability and underutilisation of other evidence-based therapies during PPCI.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".