Evidence map›Paper›PMID 32817269›Full record

ArticleOpen heart2020

Characterisation of aortic stenosis severity: a retrospective analysis of echocardiography reports in a clinical laboratory.

Michael A Raddatz, Holly M Gonzales, Eric Farber-Eger, Quinn S Wells, Brian R Lindman, W David Merryman

Abstract read
In one paragraph

Article in Open heart, 2020. 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
–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

4 citing papers in PubMed.

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

Michael A RaddatzDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.ORCID 0000-0001-8610-3489
Holly M GonzalesDivision of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Eric Farber-EgerDivision of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID 0000-0003-0281-3796
Quinn S WellsDivision of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Brian R LindmanDivision of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, TN, USA david.merryman@vanderbilt.edu brian.r.lindman@vumc.org.
W David MerrymanDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA david.merryman@vanderbilt.edu brian.r.lindman@vumc.org.ORCID 0000-0001-9662-1503

Funding

Vanderbilt Institute for Clinical and Translational Research (VICTR) -Identifying correlates of functional immunity in SARS-CoV-2 convalescent plasmaUL1TR002243 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Paul A. Harris, Wesley H Self · 2017 to 2026
$130.7M
VANDERBILT UNIVERSITY CTSA FOR PEDIATRIC RESEARCHUL1RR024975 · NCRR · VANDERBILT UNIVERSITY · PI BERNARD, GORDON RAPHAEL · 2007 to 2011
$45.7M
The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007347 · NIGMS · VANDERBILT UNIVERSITY · PI WILLIAMS, CHRISTOPHER S. · 1985 to 2023
$26.3M
Mechanobiology of Cardiopulmonary FibrosisR35HL135790 · NHLBI · VANDERBILT UNIVERSITY · PI MERRYMAN, WILLIAM D · 2017 to 2023
$5.5M
Medical Scientist Training ProgramT32GM152284 · NIGMS · VANDERBILT UNIVERSITY · PI Christopher S. Williams · 2024 to 2026
$4.8M
Automated Storage and Retrieval of Biological SystemsS10RR025141 · NCRR · VANDERBILT UNIVERSITY · PI RODEN, DAN M · 2008 to 2008
$988k
Immune cells and STAT3-mediated inflammation in calcific aortic valve diseaseF30HL147464 · NHLBI · VANDERBILT UNIVERSITY · PI RADDATZ, MICHAEL ASTON · 2020 to 2020
$22k
NCATS NIH HHS UL1 TR000445NCATS NIH HHS UL1 TR002243NCRR NIH HHS S10 RR025141NCRR NIH HHS UL1 RR024975NHLBI NIH HHS F30 HL147464NHLBI NIH HHS R35 HL135790NIGMS NIH HHS T32 GM007347NIGMS NIH HHS T32 GM152284
6 · The paper itself

Abstract

objectiveTo evaluate how common echocardiographic metrics of aortic stenosis (AS) influence the proportion of patients who may be categorised as having severe stenosis and therefore considered for valve replacement.

methodsRetrospective analysis was performed of all echocardiograms with aortic valve area (AVA) ≤1.2 cm

resultsAmong 807 patients with AVA ≤1.2 cm

conclusionsPatients with discordant indices, who are disproportionately female, are commonly described in clinical echocardiography reports as having less than severe AS. Given the potential benefit of AVR in patients with AVA ≤1 cm

Indexed as

Echocardiography, DopplerAgedAged, 80 and overAortic ValveAortic Valve StenosisCross-Sectional StudiesFemaleHemodynamicsHumansMaleMiddle AgedPredictive Value of TestsPrognosisRetrospective StudiesSeverity of Illness Indexaortic valve diseaseechocardiographyepidemiology

Identifiers

PMID32817269
PMCPMC7437881

What OpenQuestion holds

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LicenceCC BY-NC
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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.