Evidence map›Paper›PMID 38511074›Full record

ArticleAmerican heart journal plus : cardiology research and practice2023

Individual acute-phase bleeding and thrombotic risk balance assessment in patients undergoing percutaneous coronary intervention for acute myocardial infarction.

Yohei Sotomi, Shungo Hikoso, Sho Komukai, Tetsuhisa Kitamura, Daisaku Nakatani, Tomoharu Dohi, Hiroya Mizuno, Katsuki Okada, Hirota Kida, Bolrathanak Oeun and 9 more

Open access · goldAbstract read
In one paragraph

Article in American heart journal plus : cardiology research and practice, 2023. 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
0.2field-weighted citation impact, top 47% of its field
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 citations in OpenAlex.

  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

19 authors at 5 institutions in 1 country.

Yohei SotomiDepartment of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.
Shungo HikosoDepartment of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.
Sho KomukaiDepartment of Transformative System for Medical Information, Osaka University Graduate School of Medicine, Osaka, Japan.
Tetsuhisa KitamuraDivision of Environmental Medicine and Population Sciences, Department of Social and Environmental Medicine, Graduate School of Medicine, Osaka University, Osaka, Japan.
Daisaku NakataniDepartment of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.
Tomoharu DohiDepartment of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.
Hiroya MizunoDepartment of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.
Katsuki OkadaDepartment of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.
Hirota KidaDepartment of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.
Bolrathanak OeunDepartment of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.
Akihiro SunagaDepartment of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.
Taiki SatoDepartment of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.
Yuki MatsuokaDepartment of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.
Yasuhiko SakataDepartment of Clinical Medicine and Development and Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Japan.
Hiroshi SatoGraduate School of Human Welfare Studies, Kwansei Gakuin University, Hyogo, Japan.
Masatsugu HoriOsaka International Cancer Institute, Osaka, Japan.
Issei KomuroDepartment of Cardiovascular Medicine, University of Tokyo Graduate School of Medicine, Tokyo, Japan.
Yasushi SakataDepartment of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.
Osaka Acute Coronary Insufficiency Study (OACIS) Group
The University of Osaka · JPNational Cerebral and Cardiovascular Center · JPKwansei Gakuin University · JPOsaka International Cancer Institute · JPThe University of Tokyo · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Individualized treatment approach based on pre-procedural precise risk balance assessment between bleeding and thrombosis would be desirable for patients with myocardial infarction (MI) undergoing emergent percutaneous coronary intervention (PCI) in this ultra-short dual antiplatelet therapy era. We aimed to develop and validate a quick thrombosis/bleeding risk-balance assessment tool. Methods: We developed and validated a novel thrombosis/bleeding risk-balance assessment tool using individual patient data from the prospective multicenter MI registry. Individual risks of thrombosis and bleeding within 7 days of the index PCI were estimated using a multinomial logistic regression model. The model was developed in the derivation cohort (4554 patients enrolled during 2003-2009) and validated in the validation cohort (2215 patients during 2010-2014). Results: A total of 6769 patients (66 ± 12 years, 5175 men) were eligible in this analysis. Predictive performance of the multinomial logistic regression models for bleeding and thrombosis assessed by calibration plots was good both in the derivation and validation cohorts. The net predicted probability (NPP) was defined as predicted probability of bleeding event (%) - predicted probability of thrombotic event (%). The NPP successfully stratified patients into those with a higher risk of bleeding than thrombosis and those with a higher risk of thrombosis than bleeding. This finding was consistent between the derivation and validation cohorts. Conclusions: We have established the risk balance assessment model for bleeding and thrombosis. Pre-procedural quick and precise assessment of the risk balance may help a decision making of procedural strategy and antithrombotic regimens in STEMI/non-STEMI patients undergoing PCI.

Indexed as

BleedingCalculatorMyocardial infarctionRisk balanceThrombosis

Identifiers

PMID38511074
PMCPMC10945949
OpenAlexW4327748147

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.