Evidence map›Paper›PMID 40967674›Full record

Trial reportOpen heart2025

Phenomapping-derived selection of fractional flow reserve or optical coherence tomography to personalise percutaneous coronary intervention.

Fabrizio D'Ascenzo, Isabella Caranzano, Ovidio De Filippo, Federico Giacobbe, Antonio Maria Leone, Tiziana Sanavia, Emanuele Ravetti, Fabrizio Ugo, Carlo Trani, Nicolas Amabile and 11 more

Abstract readClinical Trial, Phase IIIComparative StudyObservational Study
In one paragraph

Trial report in Open heart, 2025. 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
–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

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

21 authors.

Fabrizio D'Ascenzo *Division of Cardiology, Department of Medical Sciences, University of Turin, Turin, Piedmont, Italy.
Isabella Caranzano *AI and Computational Biomedicine Unit, Department of Medical Sciences, University of Turin, Turin, Piedmont, Italy.ORCID http://orcid.org/0009-0004-8310-0652
Ovidio De FilippoDivision of Cardiology, Department of Medical Sciences, University of Turin, Turin, Piedmont, Italy.ORCID http://orcid.org/0000-0002-4915-9501
Federico GiacobbeDivision of Cardiology, Department of Medical Sciences, University of Turin, Turin, Piedmont, Italy.
Antonio Maria LeoneCardiovascular Medicine, Catholic University of the Sacred Heart Faculty of Medicine and Surgery, Rome, Lazio, Italy.
Tiziana SanaviaAI and Computational Biomedicine Unit, Department of Medical Sciences, University of Turin, Turin, Piedmont, Italy.ORCID http://orcid.org/0000-0003-3288-0631
Emanuele RavettiDivision of Cardiology, Department of Medical Sciences, University of Turin, Turin, Piedmont, Italy.
Fabrizio UgoInterventional Cardiology, Presidio Ospedaliero Sant'Andrea di Vercelli, Vercelli, Piedmont, Italy.
Carlo TraniCardiovascular Medicine, Catholic University of the Sacred Heart Faculty of Medicine and Surgery, Rome, Lazio, Italy.
Nicolas AmabileInstitut Mutualiste Montsouris, Paris, Île-de-France, France.
Samuele SandroneDivision of Cardiology, Department of Medical Sciences, University of Turin, Turin, Piedmont, Italy.
Cristina AurigemmaCatholic University of the Sacred Heart Faculty of Medicine and Surgery, Rome, Lazio, Italy.
Geraud SouteyrandUniversity Hospital Centre Clermont-Ferrand, Clermont-Ferrand, Auvergne-Rhône-Alpes, France.
Davide CapodannoCardiovascular Departement, AOU Polyclinic 'G. Rodolico-San Marco', University of Catania, Catania, Sicily, Italy.
Irene BorzilloDivision of Cardiology, Department of Medical Sciences, University of Turin, Turin, Piedmont, Italy.
Francesco BrunoDivision of Cardiology, Department of Medical Sciences, University of Turin, Turin, Piedmont, Italy cescobruno@hotmail.it.ORCID http://orcid.org/0000-0003-0019-0273
Giacomo BoccuzziDepartment of Cardiology, Ospedale San Giovanni Bosco, Turin, Piedmont, Italy.
Piero FariselliAI and Computational Biomedicine Unit, Department of Medical Sciences, University of Turin, Turin, Piedmont, Italy.ORCID http://orcid.org/0000-0003-1811-4762
Gaetano Maria De FerrariDivision of Cardiology, Department of Medical Sciences, University of Turin, Turin, Piedmont, Italy.
Mario IannacconeDepartment of Cardiology, Ospedale San Giovanni Bosco, Turin, Piedmont, Italy.ORCID http://orcid.org/0000-0003-0571-3918
Francesco BurzottaCatholic University of the Sacred Heart Faculty of Medicine and Surgery, Rome, Lazio, Italy.ORCID http://orcid.org/0000-0002-6569-9401

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAn evidence-based selection between fractional flow reserve (FFR) and optical coherence tomography (OCT) to drive percutaneous coronary intervention is still lacking.

methodsPatients enrolled in the Fractional Flow Reserve vs. Optical Coherence Tomography to Guide Revascularization of Intermediate Coronary Stenoses (FORZA) trial and in the OCT-Features Of moRphology, coMposItion anD instABility of culprit and not culprit coronary pLaquE in ACS patient (OCT-FORMIDABLE) registry were included. Target vessel revascularisation (TVR) and major adverse cardiac events (MACE), a composite endpoint of cardiac death, myocardial infarction (MI) and TVR were considered as coprimary endpoints. Phenomapping with clustering was performed: incidence of outcomes according to FFR and OCT was explored.

results405 patients were treated according to OCT and 405 to FFR. Three different clusters were identified. 48% of the patients were included in the first cluster, presenting mainly with stable angina and a relevant burden of risk factors (cardiovascular risk factors, CVRFs). 21% of the patients were included in the second cluster, presenting with ST segment elevation MI (STEMI) and with low rates of CVRFs. 31% of the patients, being admitted mostly for non-STEMI (NSTEMI) and with high rates of CVRFs, were included in the third cluster. FFR and OCT performed similarly in terms of MACE and TVR in the first cluster. In the second cluster, rates of MACE were lower in the OCT arm (3% vs 12%, p 0.04), mainly driven by TVR (2% vs 6%, p 0.18). In the third cluster, rates of TVR were significantly reduced in the OCT arm (6% vs 14%, p 0.037) with a neutral impact on MACE (12% vs 15%, p 0.71).

conclusionsCompared with a functional assessment, an OCT-based approach reduces revascularisation in patients with STEMI/NSTEMI, while FFR proved non-inferior for patients with stable angina.

Indexed as

Coronary Artery DiseaseCoronary StenosisCoronary VesselsFractional Flow Reserve, MyocardialPercutaneous Coronary InterventionTomography, Optical CoherenceAgedClinical Decision-MakingCoronary AngiographyFemaleHumansMaleMiddle AgedPredictive Value of TestsRegistriesRisk FactorsAcute Coronary SyndromeCardiac CatheterizationPercutaneous Coronary Intervention

Identifiers

PMID40967674
PMCPMC12458727

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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.