Evidence map›Paper›PMID 28628659›Full record

ArticlePloS one2017

Wave intensity of aortic root pressure as diagnostic marker of left ventricular systolic dysfunction.

Bernhard Hametner, Stephanie Parragh, Thomas Weber, Siegfried Wassertheurer

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

15 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Heart Failure: Insights From the Arterial Waves.Journal of the American Heart Association · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Review
  15. Pulse Waveform Analysis: Is It Ready for Prime Time?Current hypertension reports · 2017
    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

4 authors at 2 institutions in 1 country.

Bernhard HametnerBiomedical Systems, Center for Health & Bioresources, AIT Austrian Institute of Technology GmbH, Vienna, Austria.ORCID http://orcid.org/0000-0003-2048-1019
Stephanie ParraghBiomedical Systems, Center for Health & Bioresources, AIT Austrian Institute of Technology GmbH, Vienna, Austria.
Thomas WeberCardiology Department, Klinikum Wels-Grieskirchen, Wels, Austria.
Siegfried WassertheurerBiomedical Systems, Center for Health & Bioresources, AIT Austrian Institute of Technology GmbH, Vienna, Austria.
Austrian Institute of Technology · ATKlinikum Wels-Grieskirchen · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSystolic left ventricular function strongly influences the blood pressure waveform. Therefore, pressure-derived parameters might potentially be used as non-invasive, diagnostic markers of left ventricular impairment. The aim of this study was to investigate the performance of pressure-based parameters in combination with electrocardiography (ECG) for the detection of left ventricular systolic dysfunction defined as severely reduced ejection fraction (EF). METHODS AND

resultsTwo populations, each comprising patients with reduced EF and pressure-matched controls, were included for the main analysis (51/102 patients) and model testing (44/88 patients). Central pressure was derived from radial readings and used to compute blood flow. Subsequently, pulse wave analysis and wave intensity analysis were performed and the ratio of the two peaks of forward intensity (SDR) was calculated as a novel index of ventricular function. SDR was significantly decreased in the reduced EF group (2.5 vs. 4.4, P<0.001), as was central pulse pressure, augmentation index and ejection duration (ED), while the QRS-duration was prolonged. SDR and ED were independent predictors of ventricular impairment and when combined with QRS in a simple decision tree, a reduced EF could be detected with a sensitivity of 92% and a specificity of 80%. The independent power of ED, SDR and QRS to predict reduced EF was furthermore confirmed in the test population.

conclusionThe detection or indication of reduced ejection fraction from pressure-derived parameters seems feasible. These parameters could help to improve the quality of cardiovascular risk stratification or might be used in screening strategies in the general population.

Indexed as

AdultAgedAged, 80 and overArea Under CurveArterial PressureBlood PressureBody Mass IndexCase-Control StudiesElectrocardiographyFemaleHeart RateHeart VentriclesHumansLogistic ModelsMaleMiddle Aged

Identifiers

PMID28628659
PMCPMC5476286
OpenAlexW2665699568

What OpenQuestion holds

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LicenceCC BY
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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.