Potent P2Y12 Inhibitor Selection and De-escalation Strategies in Acute Coronary Syndrome Patients Undergoing Percutaneous Coronary Intervention: Systematic Review and Meta-analysis
Bibliographic record
Abstract
Background Balancing the effects of dual antiplatelet therapy (DAPT) in the era of potent purinergic receptor type Y, subtype 12 (P2Y 12 ) inhibitors remains a challenge in the management of acute coronary syndrome (ACS). Methods We conducted a systematic review and meta-analysis following a 2-stage process consisting of searching for systematic reviews published between 2019 and November 2022. We included randomized controlled trials (RCTs) of ACS patients treated with percutaneous coronary intervention comparing (i) ticagrelor- vs prasugrel-based DAPT and (ii) P2Y 12 inhibitor de-escalation strategies. Outcomes of interest were major adverse cardiovascular events (MACE), all-cause death, stent thrombosis, and major bleeding. We estimated risk ratios (RRs) and 95% confidence intervals (CIs) using a random-effects model. Results Eight RCTs (n = 5571) compared ticagrelor to prasugrel. Ticagrelor was associated with an increased risk of MACE compared to prasugrel (RR 1.23, 95% CI 1.01-1.49, moderate certainty), without significant differences in death, stent thrombosis, or major bleeding. In 2 RCTs (n = 3343) comparing clopidogrel-based DAPT de-escalation after 1 month to potent P2Y 12 inhibitor–based DAPT continuation, clopidogrel de-escalation did not significantly alter the incidence of MACE, death, or stent thrombosis, but reduced that of major bleeding (RR 0.51, 95% CI 0.28-0.92, high certainty). The effect of prasugrel dose de-escalation was inconclusive for all outcomes based on one trial. Conclusions Ticagrelor was associated with an increase in MACE compared with prasugrel, based on low-certainty evidence, whereas de-escalation to clopidogrel after 1 month of potent P2Y 12 inhibitor was associated with a decrease in incidence of major bleeding without increasing thrombotic outcomes in ACS patients post-percutaneous coronary intervention.
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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 | 0.014 | 0.033 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.016 | 0.030 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 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 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".