Evidence map›Paper›PMID 27249552›Full record

ReviewEcho research and practice2016

Stress echocardiography in patients with morbid obesity.

Benoy N Shah, Roxy Senior

Open access · goldAbstract readReview
In one paragraph

Review in Echo research and practice, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Clinical, Safety, and Engineering Perspectives on Wearable Ultrasound Technology: A Review.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2024
    Review
  3. Review
  4. Article
  5. Review
  6. Observational
  7. Review
  8. Article
  9. Echocardiographic assessment of myocardial ischemia.Annals of translational medicine · 2016
    Review
  10. 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

2 authors at 2 institutions in 1 country.

Benoy N ShahDepartment of Cardiology, Wessex Cardiac Centre, University Hospital Southampton, Southampton, UK benoy@doctors.org.uk.
Roxy SeniorDepartment of Echocardiography, Royal Brompton Hospital, London, UK National Heart & Lung Institute, Imperial College London, London, UK.
Essex Cardiothoracic Centre · GBRoyal Brompton Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The incidence of significant obesity is rising across the globe. These patients often have a clustering of cardiovascular risk factors and are frequently referred for noninvasive cardiac imaging tests. Stress echocardiography (SE) is widely used for assessment of patients with known or suspected coronary artery disease (CAD), but its clinical utility in morbidly obese patients (in whom image quality may suffer due to body habitus) has been largely unknown. The recently published Stress Ultrasonography in Morbid Obesity (SUMO) study has shown that SE, when performed appropriately with ultrasound contrast agents (whether performed with physiological or pharmacological stress), has excellent feasibility and appropriately risk stratifies morbidly obese patients, including identification of patients who require revascularization. This article reviews the evidence supporting the use of echocardiographic techniques in morbidly obese patients for assessment of known or suspected CAD and briefly discusses other noninvasive modalities, including magnetic resonance and nuclear techniques, comparing and contrasting these techniques against SE.

Indexed as

cardiac imagingobesitystress echocardiographyultrasound contrast

Identifiers

PMID27249552
PMCPMC4989093
OpenAlexW2328676185

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.