Evidence map›Paper›PMID 31116467›Full record

SynthesisEchocardiography (Mount Kisco, N.Y.)2019

Role of left ventricle deformation analysis in stress echocardiography for significant coronary artery disease detection: A diagnostic study meta-analysis.

Kartik Gupta, Tanya S Kakar, Ankur Gupta, Amitoj Singh, Nitin Gharpure, Sudeep Aryal, Riem Hawi, Steven G Lloyd, Julian Booker, Fadi G Hage and 3 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Echocardiography (Mount Kisco, N.Y.), 2019. 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. 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

13 authors.

Kartik GuptaDivision of Cardiovascular Disease, University of Alabama at Birmingham, Birmingham, Alabama.
Tanya S KakarDepartment of Internal Medicine, William Beaumont Hospital, Royal Oak, Michigan.
Ankur GuptaDivision of Cardiology, Department of Medicine, University of Texas Southwestern, Dallas, Texas.
Amitoj SinghDepartment of Noninvasive Cardiac Imaging, Brigham and Women's Hospital, Boston, Massachusetts.
Nitin GharpureDivision of Cardiovascular Disease, University of Alabama at Birmingham, Birmingham, Alabama.
Sudeep AryalDivision of Cardiovascular Disease, University of Alabama at Birmingham, Birmingham, Alabama.
Riem HawiDivision of Cardiovascular Disease, University of Alabama at Birmingham, Birmingham, Alabama.
Steven G LloydDivision of Cardiovascular Disease, University of Alabama at Birmingham, Birmingham, Alabama.ORCID 0000-0001-6843-0224
Julian BookerDivision of Cardiovascular Disease, University of Alabama at Birmingham, Birmingham, Alabama.
Fadi G HageDivision of Cardiovascular Disease, University of Alabama at Birmingham, Birmingham, Alabama.
Sumanth D PrabhuDivision of Cardiovascular Disease, University of Alabama at Birmingham, Birmingham, Alabama.
Navin C NandaDivision of Cardiovascular Disease, University of Alabama at Birmingham, Birmingham, Alabama.
Navkaranbir S BajajDivision of Cardiovascular Disease, University of Alabama at Birmingham, Birmingham, Alabama.ORCID 0000-0002-4605-0797

Funding

National Dissemination of I-Corps@NCATS: Accelerating Translation through CommercializationUL1TR003096 · NCATS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI GUTIERREZ, ORLANDO M, KIMBERLY, ROBERT P. · 2019 to 2023
$43.6M
UAB Center for Clinical and Translational Science (CCTS)UL1TR001417 · NCATS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI KIMBERLY, ROBERT P. · 2015 to 2018
$31.4M
MOLECULAR ANALYSIS--TRANSFORMATION BY EPSTEIN-BARR VIRUSK08CA001417 · NCI · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI COHEN, JEFFREY I · 1989 to 1990
–
American College of Cardiology Presidential Career Development Award and National Center for Advancing Translational Research of the National Institutes of Health UL1TR001417NCATS NIH HHS UL1 TR001417NCATS NIH HHS UL1 TR003096
6 · The paper itself

Abstract

backgroundWe compared the diagnostic accuracy of longitudinal strain (LS) imaging during stress echocardiography with visual assessment of wall motion (WM) for detecting significant coronary artery disease (CAD).

methodsOur systematic search included studies reporting diagnostic measures for LS imaging and visual assessment of WM for detecting significant CAD during stress echocardiography. Summary diagnostic accuracy measures including area under the curve (AUC), sensitivity, specificity, diagnostic odds ratio (DOR), and likelihood ratios (LRs) were estimated.

resultsIn thirteen studies with 978 patients, ten studies used invasive coronary angiography as the reference standard. Pooled AUC for diagnosing significant CAD was 0.92 (95% confidence interval [CI] 0.89-0.94) for LS imaging as compared to 0.83 (95% CI 0.80-0.86), P < 0.001 for visual assessment of WM. LS imaging had higher sensitivity (88% [95% CI 84-92] vs 74% [95% CI 68-80], P < 0.001) and comparable specificity to visual assessment of WM (80% [95% CI 72-87] vs 83% [95% CI 74-90], P = 0.592). The DOR for LS imaging and visual assessment of WM was 31 and 15, P = 0.254, respectively. The positive LR was 4.5 for both; negative LR was 0.14 and 0.31, P = 0.002 for LS imaging and visual assessment of WM, respectively.

conclusionsLongitudinal strain imaging during stress echocardiography has better diagnostic accuracy for detecting significant CAD as compared to visual assessment of WM. Studies using larger sample size and standardized techniques of strain measurement are required to further ascertain the added advantage of strain measurement over visual assessment alone.

Indexed as

AgedCoronary Artery DiseaseEchocardiography, StressFemaleHeart VentriclesHumansMaleMiddle AgedReproducibility of ResultsSensitivity and SpecificityVentricular Dysfunction, Leftdeformation analysislongitudinal strain imagingmeta-analysiswall-motion analysis

Identifiers

PMID31116467
PMCPMC6579615

What OpenQuestion holds

Textmetadata
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.