Short term outcome following acute phase switch among P2Y12 inhibitors in patients presenting with acute coronary syndrome treated with PCI: A systematic review and meta-analysis including 22,500 patients from 14 studies
Bibliographic record
Abstract
The efficacy and safety of switching P2Y12 receptor antagonists in patients admitted for acute coronary syndrome (ACS) remain unclear. We assessed the short-term clinical outcomes (in-hospital and within 30 days) of switching P2Y12 inhibitor (P2Y12I) drugs versus maintaining the same regimen by performing a comprehensive review and meta-analysis of available data. MEDLINE/PubMed/SCOPUS/Cochrane databases were screened for studies regarding switching of P2Y12I in patients with ACS that reported 30 days follow-up. Major cardiac events (MACE) and bleeding were compared between patients who were switched/not switched. 22,500 patients from 14 studies were included. Unstable angina/non-ST elevation myocardial infarction (62.0%, interquartile range, 52.8%–68.0%) was the most common clinical presentation. The total number switched was 4294 (19.1%); escalation in 3416 (79.5%) patients (from clopidogrel to prasugrel, 62.9%) and de-escalation in 18.5%. Pooled analysis revealed no significant differences in MACE for any comparison; risk of bleeding was significantly increased among switched patients overall (odds ratio [OR], 1.60; 95% confidence interval [CI] 1.22–2.10) and increased in the escalation group (OR, 1.51; 95% CI, 1.06–2.16). Among patients presenting with ACS, switching from one P2Y12I agent to another in the acute phase seems associated with a short-term increased risk of bleeding. Accurate upfront selection and prescription of a P2Y12I based on ischemic and bleeding risks is paramount to avoid adverse events switching-related during hospitalization and in the first 30 days.
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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 | 0.009 | 0.018 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.017 | 0.034 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".