Evidence map›Paper›PMID 32696181›Full record

ArticleCognitive research: principles and implications2020

What can an echocardiographer see in briefly presented stimuli? Perceptual expertise in dynamic search.

A J Carrigan, P Stoodley, F Fernandez, M W Wiggins

Abstract read
In one paragraph

Article in Cognitive research: principles and implications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Gaze patterns reflect and predict expertise in dynamic echocardiographic imaging.Journal of medical imaging (Bellingham, Wash.) · 2023
    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

4 authors.

A J CarriganCentre for Elite Performance, Expertise and Training, Macquarie University, North Ryde, Australia. ann.carrigan@mq.edu.au.ORCID 0000-0002-2525-9241
P StoodleySchool of Medicine, Western Sydney University, Blacktown, Australia.
F FernandezBlacktown Mount Druitt Hospital, Sydney, Australia.
M W WigginsCentre for Elite Performance, Expertise and Training, Macquarie University, North Ryde, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExperts in medical image perception are able to detect abnormalities rapidly from medical images. This ability is likely due to enhanced pattern recognition on a global scale. However, the bulk of research in this domain has focused on static rather than dynamic images, so it remains unclear what level of information that can be extracted from these displays. This study was designed to examine the visual capabilities of echocardiographers-practitioners who provide information regarding cardiac integrity and functionality. In three experiments, echocardiographers and naïve participants completed an abnormality detection task that comprised movies presented on a range of durations, where half were abnormal. This was followed by an abnormality categorization task.

resultsAcross all durations, the results showed that performance was high for detection, but less so for categorization, indicating that categorization was a more challenging task. Not surprisingly, echocardiographers outperformed naïve participants.

conclusionsTogether, this suggests that echocardiographers have a finely tuned capability for cardiac dysfunction, and a great deal of visual information can be extracted during a global assessment, within a brief glance. No relationship was evident between experience and performance which suggests that other factors such as individual differences need to be considered for future studies.

Indexed as

Clinical CompetenceEchocardiographyPattern Recognition, VisualPhysiciansWork PerformanceAdultFemaleHeart DiseasesHumansMaleMiddle AgedEchocardiographyExpertisePerceptionVision

Identifiers

PMID32696181
PMCPMC7374494

What OpenQuestion holds

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Registered trials

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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.