Evidence map›Paper›PMID 34501418›Full record

ArticleJournal of clinical medicine2021

Head-to-Head Comparison of Different Software Solutions for AVC Quantification Using Contrast-Enhanced MDCT.

Ruben Evertz, Sebastian Hub, Sören J Backhaus, Torben Lange, Karl Toischer, Johannes T Kowallick, Gerd Hasenfuß, Andreas Schuster

Erratum issuedAbstract read
In one paragraph

Article in Journal of clinical medicine, 2021. 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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. The influence of lipoprotein(a) on aortic valve calcification in patients undergoing transcatheter aortic valve replacement.Clinical research in cardiology : official journal of the German Cardiac Society · 2025
    Article
  4. Article
  5. Review
  6. Article
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Ruben EvertzDepartment of Cardiology and Pneumology, University Medical Center Goettingen (UMG), 37075 Goettingen, Germany.ORCID 0000-0002-5904-4652
Sebastian HubDepartment of Cardiology and Pneumology, University Medical Center Goettingen (UMG), 37075 Goettingen, Germany.
Sören J BackhausDepartment of Cardiology and Pneumology, University Medical Center Goettingen (UMG), 37075 Goettingen, Germany.
Torben LangeDepartment of Cardiology and Pneumology, University Medical Center Goettingen (UMG), 37075 Goettingen, Germany.
Karl ToischerDepartment of Cardiology and Pneumology, University Medical Center Goettingen (UMG), 37075 Goettingen, Germany.
Johannes T KowallickGerman Center for Cardiovascular Research (DZHK), 37099 Göttingen, Germany.
Gerd HasenfußDepartment of Cardiology and Pneumology, University Medical Center Goettingen (UMG), 37075 Goettingen, Germany.
Andreas SchusterDepartment of Cardiology and Pneumology, University Medical Center Goettingen (UMG), 37075 Goettingen, Germany.ORCID 0000-0003-1508-1125

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aortic valve calcification (AVC) in aortic stenosis patients has diagnostic and prognostic implications. Little is known about the interchangeability of AVC obtained from different multidetector computed tomography (MDCT) software solutions. Contrast-enhanced MDCT data sets of 50 randomly selected aortic stenosis patients were analysed using three different software vendors (3Mensio, CVI42, Syngo.Via). A subset of 10 patients were analysed twice for the estimation of intra-observer variability. Intra- and inter-observer variability were determined using the ICC reliability method, Bland-Altman analysis and coefficients of variation. No differences were revealed between the software solutions in the AVC calculations (3Mensio 941 ± 623, Syngo.Via 948 mm

Indexed as

aortic stenosisaortic valve calcificationcontrast-enhanced MDCTinter-vendor variability

Identifiers

PMID34501418
PMCPMC8432112

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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.