Evidence map›Paper›PMID 40718879›Full record

ArticleEuropean heart journal. Imaging methods and practice2025

Mitral annular calcification score by computed tomography in patients undergoing mitral valve surgery.

Yuichiro Okushi, Shinya Unai, Gösta B Pettersson, Haytham Elgharably, A Marc Gillinov, Richard A Grimm, Brian P Griffin, Bo Xu

Abstract read
In one paragraph

Article in European heart journal. Imaging methods and practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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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

8 authors.

Yuichiro OkushiSection of Cardiovascular Imaging, Robert and Suzanne Tomsich Department of Cardiovascular Medicine, Sydell and Arnold Miller Family Heart, Vascular and Thoracic Institute, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH 44195, USA.
Shinya UnaiDepartment of Thoracic and Cardiovascular Surgery, Cleveland Clinic, Cleveland, OH 44195, USA.ORCID https://orcid.org/0000-0001-6844-073X
Gösta B PetterssonDepartment of Thoracic and Cardiovascular Surgery, Cleveland Clinic, Cleveland, OH 44195, USA.
Haytham ElgharablyDepartment of Thoracic and Cardiovascular Surgery, Cleveland Clinic, Cleveland, OH 44195, USA.ORCID https://orcid.org/0000-0002-8124-0123
A Marc GillinovDepartment of Thoracic and Cardiovascular Surgery, Cleveland Clinic, Cleveland, OH 44195, USA.
Richard A GrimmSection of Cardiovascular Imaging, Robert and Suzanne Tomsich Department of Cardiovascular Medicine, Sydell and Arnold Miller Family Heart, Vascular and Thoracic Institute, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH 44195, USA.
Brian P GriffinSection of Cardiovascular Imaging, Robert and Suzanne Tomsich Department of Cardiovascular Medicine, Sydell and Arnold Miller Family Heart, Vascular and Thoracic Institute, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH 44195, USA.
Bo XuSection of Cardiovascular Imaging, Robert and Suzanne Tomsich Department of Cardiovascular Medicine, Sydell and Arnold Miller Family Heart, Vascular and Thoracic Institute, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH 44195, USA.ORCID https://orcid.org/0000-0002-2985-7468

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: Mitral annular calcification (MAC) increases the difficulty of mitral valve (MV) surgery and is associated with mortality. However, there is no standardized classification of MAC severity. A multi-parametric MAC score has been proposed using computed tomography. We evaluated the prognostic effect of MAC severity classification using the MAC score. Methods and results: We included 331 patients with MAC who underwent MV surgery from 2011 through 2019. We calculated the MAC score based on five main components (range: 2-12): MAC Agatston calcium score, MAC angle, extension to left ventricular outflow tract, the involvement of trigones, and myocardial infiltration. According to the proposed MAC score, we classified the top tertile into the severe MAC group (scores: 9-12, Conclusion: In patients undergoing MV surgery, systematic classification of MAC severity by MAC score helps predict prognosis.

Indexed as

cardiac computed tomographymitral annular calcificationmitral valve surgeryprognosis

Identifiers

PMID40718879
PMCPMC12290508

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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.