Evidence map›Paper›PMID 32494946›Full record

ReviewHerz2020

[Is FFR

Matthias Gutberlet, Christian Krieghoff, Robin Gohmann

Abstract readReview
PubMed Publisher
In one paragraph

Review in Herz, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Observational
  7. 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

3 authors.

Matthias GutberletAbteilung für Diagnostische und Interventionelle Radiologie / Professur für Kardiologische Bildgebung, Herzzentrum Leipzig - Universität Leipzig, Strümpellstraße 39, 04289, Leipzig, Deutschland. matthias.gutberlet@helios-gesundheit.de.
Christian KrieghoffAbteilung für Diagnostische und Interventionelle Radiologie / Professur für Kardiologische Bildgebung, Herzzentrum Leipzig - Universität Leipzig, Strümpellstraße 39, 04289, Leipzig, Deutschland.
Robin GohmannAbteilung für Diagnostische und Interventionelle Radiologie / Professur für Kardiologische Bildgebung, Herzzentrum Leipzig - Universität Leipzig, Strümpellstraße 39, 04289, Leipzig, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronary computed tomography angiography (CCTA) is already of great importance for the primary diagnostic testing for coronary artery disease (CAD) due to its high negative predictive value (NPV) and high sensitivity but, however, limited specificity. The specificity of invasive coronary angiography (ICA) could be increased by integrating the fractional flow reserve (FFR) into the invasive workflow with proof of the hemodynamic relevance of a morphologically detected coronary stenosis. New noninvasive methods of FFR calculations in CT based on computational fluid dynamics (CFD) or machine learning (ML) demonstrate very encouraging results; however, the widespread use of FFR

Indexed as

Computed Tomography AngiographyCoronary Artery DiseaseCoronary StenosisFractional Flow Reserve, MyocardialCoronary AngiographyCoronary VesselsHemodynamicsHumansPredictive Value of TestsTomography, X-Ray ComputedCardiac cathetersChronic coronary syndromeCoronary artery diseaseFFR calculation in CTFractional flow reserve

Identifiers

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.