Evidence map›Paper›PMID 35741256›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Added Value of CCTA-Derived Features to Predict MACEs in Stable Patients Undergoing Coronary Computed Tomography.

Valeria Pergola, Giulio Cabrelle, Giulia Mattesi, Simone Cattarin, Antonio Furlan, Carlo Maria Dellino, Saverio Continisio, Carolina Montonati, Adelaide Giorgino, Chiara Giraudo and 9 more

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 8% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
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  4. Review
  5. Review
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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 3 institutions in 1 country.

Valeria PergolaCardiology Unit, Department of Cardio-Thoraco-Vascular Sciences and Public Health, University of Padua, 31100 Padua, Italy.ORCID 0000-0002-3317-7342
Giulio CabrelleDepartment of Medicine-DIMED, University of Padova, 31100 Padua, Italy.ORCID 0000-0002-9430-1036
Giulia MattesiCardiology Unit, Department of Cardio-Thoraco-Vascular Sciences and Public Health, University of Padua, 31100 Padua, Italy.
Simone CattarinRadiology Unit, Conegliano Hospital, 31100 Treviso, Italy.
Antonio FurlanRadiology Unit, Castelfranco Hospital, 31100 Treviso, Italy.
Carlo Maria DellinoCardiology Unit, Department of Cardio-Thoraco-Vascular Sciences and Public Health, University of Padua, 31100 Padua, Italy.
Saverio ContinisioCardiology Unit, Department of Cardio-Thoraco-Vascular Sciences and Public Health, University of Padua, 31100 Padua, Italy.ORCID 0000-0001-6595-9990
Carolina MontonatiCardiology Unit, Department of Cardio-Thoraco-Vascular Sciences and Public Health, University of Padua, 31100 Padua, Italy.
Adelaide GiorginoDepartment of Medicine-DIMED, University of Padova, 31100 Padua, Italy.
Chiara GiraudoDepartment of Medicine-DIMED, University of Padova, 31100 Padua, Italy.ORCID 0000-0003-0924-5883
Loira LeoniCardiology Unit, Department of Cardio-Thoraco-Vascular Sciences and Public Health, University of Padua, 31100 Padua, Italy.
Riccardo BarianiCardiology Unit, Department of Cardio-Thoraco-Vascular Sciences and Public Health, University of Padua, 31100 Padua, Italy.
Giulio BarbieroRadiology Unit, Padua University Hospital, 31100 Padua, Italy.ORCID 0000-0002-1157-3635
Barbara BauceCardiology Unit, Department of Cardio-Thoraco-Vascular Sciences and Public Health, University of Padua, 31100 Padua, Italy.ORCID 0000-0001-7357-293X
Donato MeleCardiology Unit, Department of Cardio-Thoraco-Vascular Sciences and Public Health, University of Padua, 31100 Padua, Italy.ORCID 0000-0002-2823-4090
Martina Perazzolo MarraCardiology Unit, Department of Cardio-Thoraco-Vascular Sciences and Public Health, University of Padua, 31100 Padua, Italy.
Giorgio De ContiRadiology Unit, Padua University Hospital, 31100 Padua, Italy.
Sabino IlicetoCardiology Unit, Department of Cardio-Thoraco-Vascular Sciences and Public Health, University of Padua, 31100 Padua, Italy.
Raffaella MottaDepartment of Medicine-DIMED, University of Padova, 31100 Padua, Italy.ORCID 0000-0002-1886-9826
University of Padua · ITCa' Foncello Hospital · ITOspedale Castelfranco Veneto · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical evidence has emphasized the importance of coronary plaques’ characteristics, rather than lumen stenosis, for the outcome of cardiovascular events. Coronary computed tomographic angiography (CCTA) has a well-established role as a non-invasive tool for assessing plaques. The aim of this study was to compare clinical characteristics and CCTA-derived information of stable patients with non-severe plaques in predicting major adverse cardiac events (MACEs) during follow-up. We retrospectively selected 371 patients (64% male) who underwent CCTA in our center from March 2016 to January 2021 with Coronary Artery Disease—Reporting and Data System (CAD-RADS) 0 to 3. Of those, 198 patients (53% male) had CAD-RADS 0 to 1. Among them, 183 (49%) had normal pericoronary fat attenuation index (pFAI), while 15 (60% male) had pFAI ≥ 70.1 Hounsfield unit (HU). The remaining 173 patients (76% male) had CAD-RADS 2 to 3 and were divided into patients with at least one low attenuation plaque (LAP) and patients without LAPs (n-LAP). Compared to n-LAP, patients with LAPs had higher pFAI (p = 0.005) and had more plaques than patients with n-LAP. Presence of LAPs was significantly higher in elderly (p < 0.001), males (p < 0.001) and patients with traditional risk factors (hypertension p = 0.0001, hyperlipemia p = 0.0003, smoking p = 0.0003, diabetes p = <0.0001, familiarity p = 0.0007). Among patients with CAD-RADS 0 to 1, the ones with pFAI ≥ 70.1 HU were more often hyperlipidemic (p = 0.05) and smokers (p = 0.007). Follow-up (25,4 months, range: 17.6−39.2 months) demonstrated that LAP and pFAI ≥ 70.1 significantly and independently (p = 0.04) predisposed to outcomes (overall mortality and interventional procedures). There is an added value of CCTA-derived features in stratifying cardiovascular risk in low- to intermediate-risk patients with non-severe, non-calcified coronary plaques. This is of utmost clinical relevance as it is possible to identify a subset of patients with increased risk who need strengthening in therapeutic management and closer follow-up even in the absence of severe CAD. Further studies are needed to evaluate the effect of medical treatments on pericoronary inflammation and plaque composition.

Indexed as

coronary computed tomography angiographylow attenuation plaquemajor adverse cardiac eventspericoronary fat attenuation indexplaque analysis

Identifiers

PMID35741256
PMCPMC9222004
OpenAlexW4282570430

What OpenQuestion holds

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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.