Evidence map›Paper›PMID 32451697›Full record

ArticleMedical & biological engineering & computing2020

Towards improving the accuracy of aortic transvalvular pressure gradients: rethinking Bernoulli.

Benedikt Franke, J Weese, I Waechter-Stehle, J Brüning, T Kuehne, L Goubergrits

Abstract read
In one paragraph

Article in Medical & biological engineering & computing, 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. Observational
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
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

6 authors.

Benedikt FrankeInstitute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité Universitaetsmedizin Berlin, Augustenburger Platz 1, 13353, Berlin, Germany. Benedikt.franke@charite.de.ORCID http://orcid.org/0000-0001-8742-3150
J WeesePhilips Research Laboratories, Hamburg, Germany.
I Waechter-StehlePhilips Research Laboratories, Hamburg, Germany.
J BrüningInstitute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité Universitaetsmedizin Berlin, Augustenburger Platz 1, 13353, Berlin, Germany.
T KuehneInstitute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité Universitaetsmedizin Berlin, Augustenburger Platz 1, 13353, Berlin, Germany.
L GoubergritsInstitute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité Universitaetsmedizin Berlin, Augustenburger Platz 1, 13353, Berlin, Germany.

Funding

Deutsche Forschungsgemeinschaft GO1967/6-2Deutsche Forschungsgemeinschaft KU1329/10-2H2020 European Research Council () 689617
6 · The paper itself

Abstract

The transvalvular pressure gradient (TPG) is commonly estimated using the Bernoulli equation. However, the method is known to be inaccurate. Therefore, an adjusted Bernoulli model for accurate TPG assessment was developed and evaluated. Numerical simulations were used to calculate TPG

Indexed as

Aortic ValveAortic Valve StenosisArterial PressureBlood Flow VelocityEchocardiography, DopplerHeart VentriclesHumansRetrospective StudiesTomography, X-Ray ComputedAortic valve areaAortic valve stenosisBernoulli equationComputational fluid dynamicsTransvalvular pressure gradient

Identifiers

PMID32451697
PMCPMC7340661

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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.