Trial reportJournal of the American Heart Association2023
Challenge in Predicting Persistence to P2Y12 Inhibitors: A Perspective From the ARTEMIS Trial.
Trial report in Journal of the American Heart Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02406677 (Affordability and Real-world Antiplatelet Treatment Effectiveness After Myocardial Infarction Study), which is not on this map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Affordability and Real-world Antiplatelet Treatment Effectiveness After Myocardial Infarction Study
Who cites it
1 citing paper in PubMed, 3 citations in OpenAlex.
- Prediction of long-term adherence to direct oral anti-coagulants in patients with atrial fibrillation using first-order Markov models.Frontiers in pharmacology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background Premature discontinuation of P2Y12 inhibitor therapy has been associated with adverse cardiac events, which might be preventable by improving medication persistence. Current risk models have limited ability to predict patients at risk of P2Y12 inhibitor nonpersistence. Methods and Results ARTEMIS (Affordability and Real-World Antiplatelet Treatment Effectiveness after Myocardial Infarction Study) was a randomized, controlled trial testing the impact of a copayment assistance intervention on P2Y12 inhibitor persistence and outcomes. Among 6212 patients post myocardial infarction with a planned 1-year course of P2Y12 inhibitor therapy, nonpersistence was defined as a gap in P2Y12 inhibitor filled >30 days by pharmacy fill data. We developed a predictive model for 1-year P2Y12 inhibitor nonpersistence among patients randomized to usual care. P2Y12 inhibitor nonpersistence rates were 23.8% (95% CI, 22.7%-24.8%) at 30 days and 47.9% (46.6%-49.1%) at 1 year; the majority of these patients had in-hospital percutaneous coronary intervention. Patients who received the copayment assistance intervention had nonpersistence rates of 22.0% (20.7%-23.3%) at 30 days and 45.3% (43.8%-46.9%) at 1 year. A 53-variable multivariable model predicting 1-year persistence had a C-index of 0.63 (optimism-corrected C-index 0.58). Model discrimination did not improve with inclusion of patient-reported perceptions about disease, medication-taking beliefs, and prior medication-filling behavior in addition to demographic and medical history data (C-index 0.62). Conclusions Despite addition of patient-reported variables, models predicting persistence with P2Y12 inhibitor therapy performed poorly, thereby suggesting the need for continued patient and clinician education on the importance of P2Y12 inhibitor therapy after acute myocardial infarction. Registration URL: https://www.clinicaltrials.gov; Unique identifier: NCT02406677.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.