Evidence map›Paper›PMID 42582140›Full record

ArticleFrontiers in medicine2026

Research progress on de-escalation strategies of dual antiplatelet therapy after acute coronary syndrome.

Xinyu Liu, Jingjing Liu, Chang Xu

Abstract read
In one paragraph

Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Xinyu LiuCardiovascular Ward, Department of Geratology, The First Hospital of China Medical University, Shenyang, China.
Jingjing LiuCardiovascular Ward, Department of Geratology, The First Hospital of China Medical University, Shenyang, China.
Chang XuCardiovascular Ward, Department of Geratology, The First Hospital of China Medical University, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Dual antiplatelet therapy (DAPT) is standard after percutaneous coronary intervention (PCI) in acute coronary syndrome (ACS), but prolonged DAPT increases bleeding risk, particularly in East Asian and high bleeding-risk (HBR) populations. De‑escalation strategies aim to balance ischaemic and bleeding risks. Methods: We conducted a structured literature search in PubMed, EMBASE, and the Cochrane Library (January 2018-April 2026) for randomized trials and key studies on DAPT de-escalation in ACS patients after PCI, using the Academic Research Consortium (ARC) tripartite classification framework. Results: Strong evidence supports discontinuation-based strategies: 3-month (TICO, TWILIGHT, SMART-CHOICE) and 1-month (ULTIMATE-DAPT, T-PASS, TARGET-FIRST) DAPT followed by P2Y12 inhibitor monotherapy reduce bleeding without increasing ischaemic events in selected patients. MASTER-DAPT established 1-month DAPT safety in HBR patients. However, very early aspirin withdrawal (within 4 days, NEO-MINDSET) failed non-inferiority for ischaemic outcomes, and clopidogrel monotherapy after 1-month DAPT was associated with higher ischaemic risk (STOPDAPT-2 ACS). Drug‑intensity de-escalation (e.g., ticagrelor-to-clopidogrel switching) and guided strategies using genotyping or platelet‑function testing show promise but require further validation. Conclusion: Individualized DAPT de-escalation, guided by dynamic risk assessment using PRECISE‑DAPT and ARC-HBR criteria, optimizes net clinical benefit. Ticagrelor monotherapy after at least 1 month of DAPT is preferred over clopidogrel in ACS. Future research should focus on precision antithrombotic strategies in Chinese populations and high‑risk subgroups.

Indexed as

acute coronary syndromeChinese populationsdual antiplatelet therapypercutaneous coronary interventionSTEMI

Identifiers

PMID42582140
PMCPMC13457036

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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 OpenQuestion graph.