Evidence map›Paper›PMID 28567354›Full record

ArticleCardiovascular diagnosis and therapy2017

Aortic flow conditions predict ejection efficiency in the NHLBI-Sponsored Women's Ischemia Syndrome Evaluation (WISE).

Mark Doyle, Gerald M Pohost, C Noel Bairey Merz, Victor Farah, Leslee J Shaw, George Sopko, William J Rogers, Barry L Sharaf, Carl J Pepine, Diane V Thompson and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Cardiovascular diagnosis and therapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. The sine transform is theFrontiers in cardiovascular medicine · 2023
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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

14 authors at 8 institutions in 1 country.

Mark DoyleAllegheny General Hospital, Pittsburgh, PA, USA.
Gerald M PohostKeck Medical Center, University of Southern California, Los Angeles, CA, USA.
C Noel Bairey MerzBarbra Streisand Women's Heart Center, Cedars-Sinai Heart Institute, Los Angeles, CA, USA.
Victor FarahAllegheny General Hospital, Pittsburgh, PA, USA.
Leslee J ShawBarbra Streisand Women's Heart Center, Cedars-Sinai Heart Institute, Los Angeles, CA, USA.
George SopkoNational Heart Lung and Blood Institute, NIH, Bethesda, MD, USA.
William J Rogersthe University of Alabama at Birmingham, AL, USA.
Barry L SharafBrown University, Providence, RI, USA.
Carl J PepineUniversity of Florida, Gainesville, FL, USA.
Diane V ThompsonAllegheny General Hospital, Pittsburgh, PA, USA.
Geetha RayaraoAllegheny General Hospital, Pittsburgh, PA, USA.
Lindsey Tauxethe University of Alabama at Birmingham, AL, USA.
Sheryl F KelseyGraduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
Robert W W BiedermanAllegheny General Hospital, Pittsburgh, PA, USA.
Allegheny General Hospital · USCedars-Sinai Smidt Heart Institute · USUniversity of Alabama at Birmingham · USBrown University · USNational Heart Lung and Blood Institute · USUniversity of Florida · USUniversity of Pittsburgh · USUniversity of Southern California · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Windkessel model of the cardiovascular system, both in its original wind-chamber and flow-pipe form, and in its electrical circuit analog has been used for over a century to modeled left ventricular ejection conditions. Using parameters obtained from aortic flow we formed a Flow Index that is proportional to the impedance of such a "circuit". We show that the impedance varies with ejection fraction (EF) in a manner characteristic of a resonant circuit with multiple resonance points, with each resonance point centrally located in a small range of EF values, i.e., corresponding to multiple contiguous EF bands.

methodsTwo target populations were used: (I) a development group comprising male and female subjects (n=112) undergoing cardiovascular magnetic resonance (CMR) imaging for a variety of cardiac conditions. The Flow Index was developed using aortic flow data and its relationship to left ventricular EF was shown. (II) An illustration group comprised of female subjects from the Women's Ischemia Syndrome Evaluation (WISE) (n=201) followed for 5 years for occurrence of major adverse cardiovascular events (MACE). Flow data was not available in this group but since the Flow Index was related to the EF we noted the MACE rate with respect to EF.

resultsThe EFs of the development population covered a wide range (9%-76%) traversing six Flow Index resonance bands. Within each Flow Index resonance band the impedance varied from highly capacitive at the lower range of EF through minimal impedance at resonance, to highly inductive at the higher range of EF, which is characteristic of a resonant circuit. When transitioning from one EF band to a higher band, the Flow Index made a sudden transition from highly inductive to capacitive impedance modes. MACE occurred in 26 (13%) of the WISE (illustration) population. Distance in EF units (Delta

conclusionsA Flow Index that describes impedance conditions of left ventricular ejection can be calculated using data obtained completely from the ascending aorta. The Flow Index exhibits a periodic variation with EF, and in a separate illustration population the occurrence of MACE was observed to exhibit a similar periodic variation with EF, even in cases of normal EF.

Indexed as

aortic flowEjection fractionimpedanceprognosis

Identifiers

PMID28567354
PMCPMC5440268
OpenAlexW2603707365

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.