Evidence map›Paper›PMID 38427153›Full record

ArticleJournal of cardiovascular translational research2024

Association Between Automated 3D Measurement of Coronary Luminal Narrowing and Risk of Future Myocardial Infarction.

Alessandro Candreva, Maurizio Lodi Rizzini, Karol Calò, Mattia Pagnoni, Daniel Munhoz, Claudio Chiastra, Jean-Paul Aben, Stephane Fournier, Olivier Muller, Bernard De Bruyne and 3 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of cardiovascular translational research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

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

13 authors at 3 institutions in 3 countries.

Alessandro CandrevaPolitoBIOMed Lab, Department of Mechanical and Aerospace Engineering, Politecnico Di Torino, Corso Duca Degli Abruzzi 24, 10129, Turin, Italy.ORCID 0000-0002-6676-7541
Maurizio Lodi RizziniPolitoBIOMed Lab, Department of Mechanical and Aerospace Engineering, Politecnico Di Torino, Corso Duca Degli Abruzzi 24, 10129, Turin, Italy.
Karol CalòPolitoBIOMed Lab, Department of Mechanical and Aerospace Engineering, Politecnico Di Torino, Corso Duca Degli Abruzzi 24, 10129, Turin, Italy.
Mattia PagnoniDepartment of Cardiology, Lausanne University Hospital, Lausanne, Switzerland.
Daniel MunhozCardiovascular Center Aalst, OLV-Clinic, Aalst, Belgium.
Claudio ChiastraPolitoBIOMed Lab, Department of Mechanical and Aerospace Engineering, Politecnico Di Torino, Corso Duca Degli Abruzzi 24, 10129, Turin, Italy.
Jean-Paul AbenPie Medical Imaging, Maastricht, Netherlands.
Stephane FournierDepartment of Cardiology, Lausanne University Hospital, Lausanne, Switzerland.
Olivier MullerDepartment of Cardiology, Lausanne University Hospital, Lausanne, Switzerland.
Bernard De BruyneCardiovascular Center Aalst, OLV-Clinic, Aalst, Belgium.
Carlos ColletCardiovascular Center Aalst, OLV-Clinic, Aalst, Belgium.
Diego GalloPolitoBIOMed Lab, Department of Mechanical and Aerospace Engineering, Politecnico Di Torino, Corso Duca Degli Abruzzi 24, 10129, Turin, Italy.
Umberto MorbiducciPolitoBIOMed Lab, Department of Mechanical and Aerospace Engineering, Politecnico Di Torino, Corso Duca Degli Abruzzi 24, 10129, Turin, Italy. umberto.morbiducci@polito.it.
Politecnico di Torino · ITOnze Lieve Vrouwziekenhuis Hospital · BEUniversity of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study focuses on identifying anatomical markers with predictive capacity for long-term myocardial infarction (MI) in focal coronary artery disease (CAD). Eighty future culprit lesions (FCL) and 108 non-culprit lesions (NCL) from 80 patients underwent 3D quantitative coronary angiography. The minimum lumen area (MLA), minimum lumen ratio (MLR), and vessel fractional flow reserve (vFFR) were evaluated. MLR was defined as the ratio between MLA and the cross-sectional area at the proximal lesion edge, with lower values indicating more abrupt luminal narrowing. Significant differences were observed between FCL and NCL in MLR (0.41 vs. 0.53, p < 0.001). MLR correlated inversely with translesional vFFR (r =  - 0.26, p = 0.0004) and was the strongest predictor of MI at 5 years (AUC = 0.75). Lesions with MLR < 0.40 had a fourfold increased MI incidence at 5 years. MLR is a robust predictor of future adverse coronary events.

Indexed as

Coronary AngiographyCoronary Artery DiseaseCoronary VesselsFractional Flow Reserve, MyocardialImaging, Three-DimensionalMyocardial InfarctionPredictive Value of TestsAgedAutomationCoronary StenosisFemaleHumansIncidenceMaleMiddle AgedPrognosisCoronary artery diseaseMinimum lumen ratioMyocardial infarctionQuantitative coronary angiographyTranslesional pressure gradient

Identifiers

PMID38427153
PMCPMC11371893
OpenAlexW4392359778

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.