Evidence map›Paper›PMID 40736436›Full record

ReviewJACC. Asia2025

Decoding Bleeding Risks and Survival in Patients Undergoing Percutaneous Coronary Intervention on Antiplatelet Therapy.

Chun-Chin Chang, Andrew Kei-Yan Ng, Norihiro Kogame, Po-Hsun Huang, Byeong-Keuk Kim, Robert-Jan M van Geuns

Abstract readReview
In one paragraph

Review in JACC. Asia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
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

6 authors.

Chun-Chin ChangDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan; Cardiovascular Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Andrew Kei-Yan NgGleneagles Hospital Hong Kong, Wong Chuk Hang, Hong Kong.
Norihiro KogameDivision of Cardiovascular Medicine, Toho University Ohashi Medical Center, Tokyo, Japan.
Po-Hsun HuangDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan; Cardiovascular Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Byeong-Keuk KimDivision of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, South Korea.
Robert-Jan M van GeunsDepartment of Cardiology, Radboud University Medical Center, Nijmegen, the Netherlands. Electronic address: robertjan.vangeuns@radboudumc.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This comprehensive review focuses on bleeding risk and outcomes in patients with coronary artery disease undergoing percutaneous coronary intervention (PCI) with antiplatelet therapy. Bleeding prevalence varies widely, ranging from 1% to 10% in clinical trials and 2.8% to 11% in real-world studies, with a significant impact on mortality. The Academic Research Consortium for High Bleeding Risk criteria are well-validated, classifying approximately 50% of patients as high bleeding risk, who subsequently experience higher post-PCI bleeding rates. Key risk factors include advanced age, chronic kidney disease, and multiple comorbidities. This review also explores bleeding event definitions, risk stratification methods, and the clinical consequences of bleeding. The strong association between bleeding and mortality after PCI underscores the importance of vigilant monitoring and tailored management strategies.

Indexed as

coronary artery diseasedual antiplatelet drughigh bleeding riskpercutaneous coronary intervention

Identifiers

PMID40736436
PMCPMC12426656

What OpenQuestion holds

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Registered trials

None linked

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.