Evidence map›Paper›PMID 40576041›Full record

ArticleJournal of the American Heart Association2025

Angiography-Based Blood Flow Quantification After Revascularization in Acute Coronary Syndromes.

Koshiro Sakai, Takuya Mizukami, Hirofumi Ohashi, Frederic Bouisset, Giulia Botti, Nobuaki Kobayashi, Masamichi Takano, Seita Kondo, Tomoyo Sugiyama, Tsunekazu Kakuta and 20 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of the American Heart Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

30 authors.

Koshiro SakaiCardiovascular Center Aalst OLV Clinic Aalst Belgium.ORCID 0000-0003-0461-6497
Takuya MizukamiCardiovascular Center Aalst OLV Clinic Aalst Belgium.ORCID 0000-0003-1086-8746
Hirofumi OhashiDepartment of Cardiology Aichi Medical University Nagakute Aichi Japan.ORCID 0009-0008-2709-3186
Frederic BouissetCardiovascular Center Aalst OLV Clinic Aalst Belgium.ORCID 0000-0001-8642-0273
Giulia BottiCardiovascular Center Aalst OLV Clinic Aalst Belgium.
Nobuaki KobayashiDepartment of Cardiology Nippon Medical School Chiba Hokusoh Hospital Chiba Japan.ORCID 0000-0001-6757-4779
Masamichi TakanoDepartment of Cardiology Nippon Medical School Chiba Hokusoh Hospital Chiba Japan.
Seita KondoDepartment of Medicine, Division of Cardiology Showa University School of Medicine Tokyo Japan.
Tomoyo SugiyamaDivision of Cardiovascular Medicine Tsuchiura Kyodo General Hospital Ibaraki Japan.ORCID 0000-0002-3754-6117
Tsunekazu KakutaDivision of Cardiovascular Medicine Tsuchiura Kyodo General Hospital Ibaraki Japan.ORCID 0000-0002-4004-5292
Kohei WakabayashiDivision of Cardiology, Cardiovascular Center Showa University Koto Toyosu Hospital Tokyo Japan.ORCID 0000-0003-4264-0439
Satoru SuwaDepartment of Cardiovascular Medicine Juntendo University Shizuoka Hospital Shizuoka Japan.ORCID 0000-0002-7614-0937
Tomotaka DohiDepartment of Cardiovascular Biology and Medicine Juntendo University Graduate School of Medicine Tokyo Japan.ORCID 0000-0002-6646-468X
Hiroyoshi MoriDivision of Cardiology, Department of Internal Medicine Showa University Fujigaoka Hospital Yokohama Kanagawa Japan.ORCID 0000-0001-6060-3485
Shigeki KimuraDepartment of Cardiology Yokohama Minami Kyosai Hospital Yokohama Kanagawa Japan.
Satoru MitomoDepartment of Cardiovascular Medicine New Tokyo Hospital Chiba Japan.ORCID 0000-0001-8972-4352
Sunao NakamuraDepartment of Cardiovascular Medicine New Tokyo Hospital Chiba Japan.ORCID 0000-0002-0651-0090
Takumi HigumaDivision of Cardiology, Department of Internal Medicine Kawasaki Municipal Tama Hospital Kawasaki Kanagawa Japan.ORCID 0000-0001-9156-0262
Junichi YamaguchiDepartment of Cardiology Tokyo Women's Medical University Tokyo Japan.ORCID 0000-0003-0967-0978
Taishi YonetsuDepartment of Interventional Cardiology Tokyo Medical and Dental University Tokyo Japan.ORCID 0000-0002-1798-5008
Makoto NatsumedaDepartment of Cardiology Tokai University School of Medicine Isehara Kanagawa Japan.ORCID 0000-0002-4800-7274
Yuji IkariDepartment of Cardiology Tokai University School of Medicine Isehara Kanagawa Japan.ORCID 0000-0001-5686-4324
Jun YamashitaDepartment of Cardiology Tokyo Medical University Hospital Tokyo Japan.ORCID 0000-0002-0620-1685
Myong H YamamotoDivision of Clinical Pharmacology, Department of Pharmacology Showa University Tokyo Japan.
Adriaan WilgenhofCardiovascular Center Aalst OLV Clinic Aalst Belgium.ORCID 0000-0002-3263-7394
Jeroen SonckCardiovascular Center Aalst OLV Clinic Aalst Belgium.ORCID 0000-0002-9744-8244
Toshiro ShinkeDepartment of Medicine, Division of Cardiology Showa University School of Medicine Tokyo Japan.ORCID 0000-0001-7349-7538
Chris BouwmanPie Medical Imaging Maastricht The Netherlands.
Jean-Paul AbenPie Medical Imaging Maastricht The Netherlands.
Carlos ColletCardiovascular Center Aalst OLV Clinic Aalst Belgium.ORCID 0000-0003-0227-0082

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn patients presenting with acute coronary syndromes (ACS), impaired coronary blood flow (CBF) after percutaneous coronary interventions (PCI) is linked to mortality. We developed a novel angiography-based approach for blood flow quantification using automatic contrast bolus tracking. Therefore, this study aimed to investigate the clinical impact of angiography-based blood flow quantification on major adverse cardiovascular events (MACE) after PCI in patients with ACS.

methodsProspective, multicenter, nested case-control study of patients presenting ACS. A propensity score was used to match patients with and without MACE at 1 year of follow-up. MACE was defined as cardiovascular death, myocardial infarction, hospitalization for heart failure, or ischemia-driven revascularization. CBF was measured automatically from angiograms after PCI.

resultsOne hundred sixty-two patients were included. The mean age was 68.3±13.0 years, 83% were male, and 33% had diabetes. Overall, 66% of patients presented with ST-segment-elevation myocardial infarction. CBF after PCI was lower after ST-segment-elevation myocardial infarction compared with other clinical presentations (74.1±47.0 mL/min ST-segment-elevation myocardial infarction, 89.1±45.8 mL/min, non-ST-segment-elevation myocardial infarction, 95.7±48.8 mL/min, unstable angina,

conclusionsAfter PCI, automatic quantification of CBF using angiography was associated with MACE in patients with ACS. Risk stratification using post-PCI CBF-derived angiography may enable tailored management strategies for individuals with ACS.

Indexed as

Acute Coronary SyndromeCoronary AngiographyCoronary CirculationCoronary VesselsPercutaneous Coronary InterventionST Elevation Myocardial InfarctionAgedAged, 80 and overCase-Control StudiesFemaleHumansMaleMiddle AgedPredictive Value of TestsPropensity ScoreProspective Studiesacute coronary syndromeangiographycoronary blood flowcoronary flow velocityheart failure

Identifiers

PMID40576041
PMCPMC12449982

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Registered trials

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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.