Evidence map›Paper›PMID 34765407›Full record

ReviewAustralasian journal of ultrasound in medicine2020

Review: Detection of patient foramen ovale using transcranial Doppler or standard echocardiography.

Hanna Van der Giessen, Luke C Wilson, Sean Coffey, Gillian A Whalley

Erratum issuedAbstract readReview
In one paragraph

Review in Australasian journal of ultrasound in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Hanna Van der GiessenThe Department of Medicine, Otago Medical School The University of Otago Dunedin New Zealand.
Luke C WilsonThe Department of Medicine, Otago Medical School The University of Otago Dunedin New Zealand.ORCID https://orcid.org/0000-0003-2636-098X
Sean CoffeyThe Department of Medicine, Otago Medical School The University of Otago Dunedin New Zealand.ORCID https://orcid.org/0000-0003-2312-4666
Gillian A WhalleyThe Department of Medicine, Otago Medical School The University of Otago Dunedin New Zealand.ORCID https://orcid.org/0000-0002-5713-6967

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A patent foramen ovale (PFO) is a common remnant of fetal circulation present in up to 25% of the worldwide adult population. Paradoxical embolism occurs when venous blood crosses the PFO into the arterial system, bypassing the pulmonary circulation. This allows for the direct passage of microemboli into cerebral blood vessels, increasing the risk of cryptogenic stroke. This review investigates the current diagnostic procedures used to detect and grade a PFO, including transthoracic echocardiography (TTE), transoesophageal echocardiography (TOE) and transcranial Doppler (TCD). Only a few studies have directly compared the use of TTE with TCD for PFO detection but several have compared TTE and TCD independently against the clinical gold standard TOE. Known pitfalls of TTE and TCD are also discussed, including the difficulty of differentiating between intracardiac shunts and intrapulmonary shunts. This review also discusses methods to optimise imaging, such as performing an adequate Valsalva manoeuvre, the role of abdominal compression and the choice of the injection site for the contrast agent and how these may increase the diagnostic success of detecting a right-to-left shunt when prompted by a clinician.

Indexed as

echocardiographypatent foramen ovaleright to left shuntstroketranscranial Doppler

Identifiers

PMID34765407
PMCPMC8411673

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.