Evidence map›Paper›PMID 32536342›Full record

SynthesisJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance2020

Evaluation of aortic stenosis using cardiovascular magnetic resonance: a systematic review & meta-analysis.

Kei Woldendorp, Paul G Bannon, Stuart M Grieve

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.0field-weighted citation impact, top 7% 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

19 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Rare Genetic Variants inCirculation · 2024
    Article
  6. Article
  7. Review
  8. Diagnostic Challenges in Aortic Stenosis.Journal of cardiovascular development and disease · 2024
    Review
  9. Review
  10. Review
  11. Diagnosis and Management of Aortic Valvular Disease in the Elderly.The International journal of angiology : official publication of the International College of Angiology, Inc · 2022
    Article
  12. ANMCO position paper: 2022 focused update of appropriate use criteria for multimodality imaging: aortic valve disease.European heart journal supplements : journal of the European Society of Cardiology · 2022
    Article
  13. Review
  14. A novel approach to determine aortic valve area with phase-contrast cardiovascular magnetic resonance.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2022
    Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Multimodality Imaging in Aortic Stenosis.Heart views : the official journal of the Gulf Heart Association
    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

3 authors at 1 institution in 1 country.

Kei WoldendorpSydney Translational Imaging Laboratory, Imaging and Phenotyping Laboratory, Charles Perkins Centre, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, 2006, Australia.ORCID 0000-0001-9357-2734
Paul G BannonSydney Translational Imaging Laboratory, Imaging and Phenotyping Laboratory, Charles Perkins Centre, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, 2006, Australia.
Stuart M GrieveSydney Translational Imaging Laboratory, Imaging and Phenotyping Laboratory, Charles Perkins Centre, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, 2006, Australia. stuart.grieve@sydney.edu.au.
The University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs the average age of patients with severe aortic stenosis (AS) who receive procedural intervention continue to age, the need for non-invasive modalities that provide accurate diagnosis and operative planning is increasingly important. Advances in cardiovascular magnetic resonance (CMR) over the past two decades mean it is able to provide haemodynamic data at the aortic valve, along with high fidelity anatomical imaging.

methodsElectronic databases were searched for studies comparing CMR to transthoracic echocardiography (TTE) and transoesophageal echocardiography (TEE) in the diagnosis of AS. Studies were included only if direct comparison was made on matched patients, and if diagnosis was primarily through measurement of aortic valve area (AVA).

resultsTwenty-three relevant, prospective articles were included in the meta-analysis, totalling 1040 individual patients. There was no significant difference in AVA measured as by CMR compared to TEE. CMR measurements of AVA size were larger compared to TTE by an average of 10.7% (absolute difference: + 0.14cm

conclusionsOur analysis demonstrates the equivalence of AVA measurements using CMR compared to those obtained using TEE. CMR demonstrated a small but significantly larger AVA than TTE. However, this can be attributed to known errors in derivation of left ventricular outflow tract size as measured by TTE. By offering additional anatomical assessment, CMR is warranted as a primary tool in the assessment and workup of patients with severe AS who are candidates for surgical or transcatheter intervention.

Indexed as

HemodynamicsMagnetic Resonance ImagingAgedAged, 80 and overAortic ValveAortic Valve InsufficiencyAortic Valve StenosisClinical Decision-MakingEchocardiography, TransesophagealFemaleHumansMaleMiddle AgedObserver VariationPredictive Value of TestsPrognosisAortic regurgitationAortic stenosisAortic valveCardiovascular magnetic resonanceCMRValve dysfunction

Identifiers

PMID32536342
PMCPMC7294634
OpenAlexW3034595767

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.