Evidence map›Paper›PMID 28533717›Full record

ArticleEuropean heart journal supplements : journal of the European Society of Cardiology2016

Fractional flow reserve based on computed tomography: an overview.

Francesco Secchi, Marco Alì, Elena Faggiano, Paola Maria Cannaò, Marco Fedele, Silvia Tresoldi, Giovanni Di Leo, Ferdinando Auricchio, Francesco Sardanelli

Open access · bronzeAbstract read
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In one paragraph

Article in European heart journal supplements : journal of the European Society of Cardiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
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

9 authors at 4 institutions in 1 country.

Francesco SecchiUnit of Radiology, IRCCS Policlinico San Donato, Via Morandi 30, San Donato Milanese, Milan 20097, Italy.
Marco AlìPhD Course in Integrative Biomedical Research, Università degli Studi di Milano, Via Mangiagalli 31, Milano 20133, Italy.
Elena FaggianoComputational Mechanics & Advanced Material Group, Department of Civil Engineering and Architecture (DICAr), Università degli Studi di Pavia, Via Ferrata 3, Pavia 27100, Italy.
Paola Maria CannaòPostgraduation School in Radiodiagnostics, Università degli Studi di Milano, Via Festa del Perdono 7, Milan 20100, Italy.
Marco FedeleComputational Mechanics & Advanced Material Group, Department of Civil Engineering and Architecture (DICAr), Università degli Studi di Pavia, Via Ferrata 3, Pavia 27100, Italy.
Silvia TresoldiUnit of Diagnostic and Interventional Radiology, Azienda Ospedaliera San Paolo, Via A. di Rudinì 8, Milan 20142, Italy.
Giovanni Di LeoUnit of Radiology, IRCCS Policlinico San Donato, Via Morandi 30, San Donato Milanese, Milan 20097, Italy.
Ferdinando AuricchioComputational Mechanics & Advanced Material Group, Department of Civil Engineering and Architecture (DICAr), Università degli Studi di Pavia, Via Ferrata 3, Pavia 27100, Italy.
Francesco SardanelliUnit of Radiology, IRCCS Policlinico San Donato, Via Morandi 30, San Donato Milanese, Milan 20097, Italy.
IRCCS Policlinico San Donato · ITUniversity of Pavia · ITUniversity of Milan · ITOspedale San Paolo · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computed tomography coronary angiography (CTCA) is a technique proved to provide high sensitivity and negative predictive value for the identification of anatomically significant coronary artery disease (CAD) when compared with invasive X-ray coronary angiography. While the CTCA limitation of a ionizing radiation dose delivered to patients is substantially overcome by recent technical innovations, a relevant limitation remains the only anatomical assessment of coronary stenoses in the absence of evaluation of their functional haemodynamic significance. This limitation is highly important for those stenosis graded as intermediate at the anatomical assessment. Recently, non-invasive methods based on computational fluid dynamics were developed to calculate vessel-specific fractional flow reserve (FFR) using data routinely acquired by CTCA [computed tomographic fractional flow reserve (CT-FFR)]. Here we summarize methods for CT-FFR and review the evidence available in the literature up to June 26, 2016, including 16 original articles and one meta-analysis. The perspective of CT-FFR may greatly impact on CAD diagnosis, prognostic evaluation, and treatment decision-making. The aim of this review is to describe technical characteristics and clinical applications of CT-FFR, also in comparison with catheter-based invasive FFR, in order to make a cost-benefit balance in terms of clinical management and patient's health.

Indexed as

Computed tomographyCoronary artery diseaseFractional flow reserveTransluminal attenuation gradient

Identifiers

PMID28533717
OpenAlexW2342710671

What OpenQuestion holds

Textmetadata
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.