Evidence map›Paper›PMID 32337374›Full record

ArticleHealth science reports2020

Comparison of different imaging modalities for the quantification of tricuspid valve geometry and regurgitation: a retrospective, single-center study.

Can Öztürk, Robert Schueler, Marcel Weber, Georg Nickenig, Christoph Hammerstingl

Open access · goldAbstract read
In one paragraph

Article in Health science reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

2 citing papers in PubMed, 10 citations in OpenAlex.

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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 3 institutions in 1 country.

Can ÖztürkDepartment of Cardiology, Heart Center Bonn University Hospital Bonn Bonn Germany.
Robert SchuelerDepartment of Cardiology Elisabeth Hospital Essen Germany.
Marcel WeberDepartment of Cardiology, Heart Center Bonn University Hospital Bonn Bonn Germany.
Georg NickenigDepartment of Cardiology, Heart Center Bonn University Hospital Bonn Bonn Germany.
Christoph HammerstinglDepartment of Cardiology Center for Cardiovascular Medicine in Mediapark Cologne Germany.
University Hospital Bonn · DEElisabeth-Krankenhaus Essen · DEInstitute for New Media · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsTricuspid regurgitation (TR) is a frequent valvular heart disease with relevant adverse impact on patients' prognosis. Adequate TR imaging and evaluation is challenging. In this study, we aimed to compare different imaging modalities (echocardiography and multi-slice computed tomography) for the assessment of tricuspid valve (TV) function and geometry.

methodsWe retrospectively investigated patients that presented to University Hospital Bonn, Germany, between September 2018 and March 2019, who underwent comprehensive echocardiography and multi-slice computed tomography (MSCT) to evaluate TR. MSCT was considered the reference approach for dimensional assessment of TV anatomy and echocardiography (transthoracic echocardiography + transesophageal echocardiography) for functional assessment of TV. We used Spearman's Rank order correlation, Bland-Altman analysis, and intra-class correlation to compare the different imaging modalities.

resultsForty patients (Mean Age ± SD: 77.5 ± 7.1 years; 35% female) with high grade TR (effective regurgitant orifice area, EROA: 0.49 ± 0.3 cm

conclusionOnly 3D-TEE allowed for sufficient simultaneous functional and dimensional assessment of TR in our cohort.

Indexed as

multislice computed tomographytransesophageal echocardiographytricuspid valve

Identifiers

PMID32337374
PMCPMC7180046
OpenAlexW3017832655

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.