Evidence map›Paper›PMID 25940418›Full record

ArticleThe Journal of thoracic and cardiovascular surgery2015

Quantifying "normalized" regional left ventricular contractile function in ischemic coronary artery disease.

Matthew C Henn, Brian P Cupps, Julia Kar, Kevin Kulshrestha, Danielle Koerner, Alan C Braverman, Michael K Pasque

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of thoracic and cardiovascular surgery, 2015. 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
1.9field-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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
  2. Article
  3. Echocardiographic assessment of myocardial ischemia.Annals of translational medicine · 2016
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Matthew C HennDivision of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St Louis, Mo.
Brian P CuppsDivision of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St Louis, Mo.
Julia KarDivision of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St Louis, Mo.
Kevin KulshresthaDivision of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St Louis, Mo.
Danielle KoernerDivision of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St Louis, Mo.
Alan C BravermanCardiovascular Division, Department of Medicine, Washington University School of Medicine, St Louis, Mo.
Michael K PasqueDivision of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St Louis, Mo. Electronic address: pasquem@wudosis.wustl.edu.
Washington University in St. Louis · US

Funding

BASIC SCIENCE RESEARCH TRAINING: CARDIOPULMONARY SURGERYT32HL007776 · NHLBI · WASHINGTON UNIVERSITY · PI DAMIANO, RALPH J · 1994 to 2020
$4.6M
LEFT VENTRICULAR REMODELING IN AORTIC INSUFFICIENCYR01HL064869 · NHLBI · WASHINGTON UNIVERSITY · PI PASQUE, MICHAEL K · 2000 to 2009
$2.7M
3D MYOCARDIAL STRAIN VECTORS IN ISCHEMIC HEART DISEASER01HL069967 · NHLBI · WASHINGTON UNIVERSITY · PI CUPPS, BRIAN P · 2003 to 2010
$1.9M
REGIONAL VENTRICULAR STRAIN METRICS TO PREDICT NEW-ONSET HEART FAILURE COURSER01HL112804 · NHLBI · WASHINGTON UNIVERSITY · PI PASQUE, MICHAEL K · 2012 to 2016
$1.9M
NHLBI NIH HHS HL007776NHLBI NIH HHS HL064869NHLBI NIH HHS HL069967NHLBI NIH HHS HL112804NHLBI NIH HHS R01 HL064869NHLBI NIH HHS R01 HL069967NHLBI NIH HHS R01 HL112804NHLBI NIH HHS T32 HL007776
6 · The paper itself

Abstract

objectiveWhen significant coronary lesions are identified by angiography, regional left ventricular (LV) contractile function often plays a role in determining candidacy for revascularization. To improve on current subjective and nonquantitative metrics of regional LV function, we tested a z-score "normalization" of regional strain information quantified from clinically acquired high-resolution LV geometric datasets.

methodsTest subjects (n = 120) underwent cardiac MRI with multiple 3-dimensional strain parameters calculated from tissue tag-plane displacement data. Sixty healthy volunteers contributed strain parameter data at each of 15,300 LV grid points, to form a normal human strain database. Point-specific database comparisons were made in 60 patients who had documented coronary artery disease (CAD), by angiography. Patient-specific, color-coded 3-dimensional LV maps of z-score-normalized contractile function were generated.

resultsBlinded clinical review indicated that 55% (33 of 60) of the patients with CAD had significant regional contractile abnormalities by 1 of 3 "gold-standard" criteria: (1) Q waves on electrocardiography (ECG); (2) infarct on radionuclide single-photon emission computed tomography (SPECT); or (3) akinesia or dyskinesia on echocardiography. Consistency among all gold-standard metrics was found for only 19% (6 of 31) of patients with CAD who had ≥2 available metrics. Blinded MRI-based, multiparametric, strain z-score localization of contractile abnormalities was accurate in 89% (ECG), 97% (SPECT), and 95% (echocardiography).

conclusionsNonsubjective normalization of regional LV contractile function by z-score calculation from a normal human strain database can localize and quantitatively display regional wall motion abnormalities in patients with CAD. This high-resolution localization of regional wall motion abnormalities may help improve the accuracy of therapeutic intervention in patients who have CAD.

Indexed as

Ventricular Function, LeftAdultCoronary Artery DiseaseFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedMyocardial Ischemiacontractilitycoronary artery diseaseMRI

Identifiers

PMID25940418
PMCPMC4490013
OpenAlexW2054451515

What OpenQuestion holds

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LicenceTDM
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.