The efficacy and safety of the prasugrel, ticagrelor, and clopidogrel dual antiplatelet therapies following an acute coronary syndrome: A systematic review and Bayesian network meta-analysis
Bibliographic record
Abstract
ABSTRACT Background The dual-antiplatelet therapies (DAPT) of clopidogrel, prasugrel, or ticagrelor in concomitant use with acetylsalicylic acid are the contemporary treatment regimens for acute coronary syndromes (ACS). Systematic comparative effectiveness and safety analyses currently lack clinically meaningful interpretations of the summarized evidence. Methods We systematically searched MEDLINE, EMBASE, CENTRAL, and clinicaltrials.gov for randomized controlled trials (RCTs) that reported on either the efficacy or safety between clopidogrel, prasugrel, or ticagrelor DAPTs in ACS patients. The primary efficacy endpoint was a composite of all-cause mortality, a recurrent non-fatal myocardial infarction, or non-fatal stroke. The primary safety endpoint was study-reported major bleeding events. A Bayesian network meta-analysis was performed using a generalized linear model logit transformation with a log-transformation of ‘time’ for varying lengths of study follow-up. Studies published in either English or French with a minimum of 6 months of follow-up and a “low” rating from the Cochrane risk of bias assessment tool were included in the main analyses. Fixed and random effects models fit was assessed by the deviance information criterion (DIC) and node-splitting methods were used to assess the consistency of direct and indirect network evidence. An HR >0.9 and <1.11 were set as our clinically important thresholds, and represented the range of practical equivalence (ROPE). Results From a total of 15,232 articles identified, 138 were selected for full-text review. From a total of 29 identified RCT’s, 17 trials, representing 57,814 subjects, were identified as a “low” risk of bias and were included in the final Bayesian network meta-analysis. Compared to clopidogrel, prasugrel and ticagrelor reduced major acute coronary events (MACE) endpoints by a median of 13% (Hazard ratio [HR]PC, 0.87; 95% credible interval [95% CrI]: 0.74, 1.06) and 5% (HRTC, 0.95; 95% CrI: 0.81, 1.14), respectively. The HR posterior distributions estimated that prasugrel had a 67.5% chance of producing a clinically meaningful – greater than 10% (HR<0.9) – decrease in the risk of MACE outcomes, while ticagrelor only had a 22.4% chance of exceeding the clinically important threshold. The primary safety outcome found prasugrel (HRPC, 1.23; 95% CrI: 1.04, 1.40) and ticagrelor (HRTC, 1.07; 95% CrI: 0.99, 1.17) DAPTs to be associated with a median increase in events relative to clopidogrel. This translates to a probability of a clinically meaningful increase (HR>1.11) in major bleeding of 83.7% for prasugrel and 67.7% for ticagrelor, when compared to clopidogrel. Conclusion When compared with ACS patients assigned to clopidogrel, prasugrel and ticagrelor were associated with moderate and modest probabilities respectively in clinically meaningful MACE reductions. Prasugrel and ticagrelor had high and modest probabilities respectively of clinically meaningful increases in bleeding. Despite guideline recommendations, the net clinical benefit for these drugs compared to clopidogrel appears uncertain.
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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 | 0.032 | 0.062 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.017 | 0.034 |
| Bibliometrics | 0.015 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| 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".