Evidence map›Paper›PMID 29387460›Full record

ArticleCardiac failure review2017

The Role of Automated 3D Echocardiography for Left Ventricular Ejection Fraction Assessment.

Ernest Spitzer, Ben Ren, Felix Zijlstra, Nicolas M Van Mieghem, Marcel L Geleijnse

Open access · goldAbstract read
In one paragraph

Article in Cardiac failure review, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Observational
  3. Aortic stenosis and right ventricular dysfunction.The international journal of cardiovascular imaging · 2024
    Article
  4. Article
  5. Article
  6. Review
  7. Heart ModelInternational journal of general medicine · 2021
    Article
  8. 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

5 authors at 1 institution in 1 country.

Ernest SpitzerCardiology, Thoraxcenter, Erasmus University Medical Center,Rotterdam, the Netherlands.
Ben RenCardiology, Thoraxcenter, Erasmus University Medical Center,Rotterdam, the Netherlands.
Felix ZijlstraCardiology, Thoraxcenter, Erasmus University Medical Center,Rotterdam, the Netherlands.
Nicolas M Van MieghemCardiology, Thoraxcenter, Erasmus University Medical Center,Rotterdam, the Netherlands.
Marcel L GeleijnseCardiology, Thoraxcenter, Erasmus University Medical Center,Rotterdam, the Netherlands.
Erasmus MC · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ejection fraction is one of the most powerful determinants of prognosis and is a crucial parameter for the determination of cardiovascular therapies in conditions such as heart failure, valvular conditions and ischaemic heart disease. Among echocardiographic methods, 3D echocardiography has been attributed as the preferred one for its assessment, given an increased accuracy and reproducibility. Full-volume multi-beat acquisitions are prone to stitching artefacts due to arrhythmias and require prolonged breath holds. Single-beat acquisitions exhibit a lower temporal resolution, but address the limitations of multi-beat acquisitions. If not fully automated, 3D echocardiography remains time-consuming and resource-intensive, with suboptimal observer variability, preventing its implementation in routine practice. Further developments in hardware and software, including fully automated knowledge-based algorithms for left ventricular quantification, may bring 3D echocardiography to a definite turning point.

Indexed as

3D echocardiographyadaptive analyticsautomated analysisleft ventricular ejection fractionnon-invasive imagingsingle-beat acquisitions

Identifiers

PMID29387460
PMCPMC5789221
OpenAlexW2778588223

What OpenQuestion holds

Textmetadata
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.