Evidence map›Paper›PMID 39912102›Full record

ArticleEuropean heart journal open2025

Prognostic value of computed tomography-derived myocardial extracellular volume in aortic stenosis: a meta-analysis of all-cause mortality and heart failure hospitalization.

Jin Kirigaya, Shingo Kato, Kensuke Matsushita, Nobuyuki Horita, Daisuke Utsunomiya, Kiyoshi Hibi

Abstract read
In one paragraph

Article in European heart journal open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Cardiac Computed Tomography: Technological Developments and Clinical Applications.Journal of cardiovascular development and disease · 2025
    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

6 authors.

Jin KirigayaDivision of Cardiology, Yokohama City University Medical Center, 4-57, Urafune-cho, Minami-ku, Yokohama, Kanagawa 232-0024, Japan.ORCID https://orcid.org/0000-0002-0477-0323
Shingo KatoDepartment of Diagnostic Radiology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawa-ku, Yokohama 236-0004, Japan.ORCID https://orcid.org/0000-0002-7545-0669
Kensuke MatsushitaDivision of Cardiology, Yokohama City University Medical Center, 4-57, Urafune-cho, Minami-ku, Yokohama, Kanagawa 232-0024, Japan.
Nobuyuki HoritaChemotherapy Center, Yokohama City University Hospital, 3-9 Fukuura, Kanazawa-ku, Yokohama 236-0004, Japan.ORCID https://orcid.org/0000-0002-8200-0340
Daisuke UtsunomiyaDepartment of Diagnostic Radiology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawa-ku, Yokohama 236-0004, Japan.ORCID https://orcid.org/0000-0002-1723-1724
Kiyoshi HibiDivision of Cardiology, Yokohama City University Medical Center, 4-57, Urafune-cho, Minami-ku, Yokohama, Kanagawa 232-0024, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: Pre-existing myocardial fibrosis before aortic valve replacement (AVR) is a major cause of postoperative heart failure (HF). Evaluation of fibrosis by computed tomography extracellular volume (CT-ECV) may allow risk stratification for patients with severe aortic stenosis (AS) scheduled for transaortic AVR (TAVR) or surgical AVR (SAVR). We performed a meta-analysis to determine the prognostic value of CT-ECV for the prediction of adverse events in patients with severe AS scheduled for AVR. Methods and results: Electronic database searches of PubMed, Web of Science Core Collection, Cochrane advanced search, and EMBASE were performed. A comprehensive literature review was conducted to examine the association between CT-ECV and prognosis in patients with severe AS who underwent AVR. The diagnostic performance of CT-ECV for predicting composite adverse events (all-cause death and hospitalization for HF) was assessed using a pooled odds ratio (OR). Data from 902 patients with severe AS were extracted from six studies, including 881 TAVR and 21 SAVR cases. The pooled OR of abnormal CT-ECV for predicting adverse events was 4.53 [95% confidence interval (CI): 3.13-6.57 ( Conclusion: Considering the high prognostic ability and versatility of CT-ECV, it may be used to predict postoperative adverse events in patients with severe AS who underwent AVR.

Indexed as

Aortic stenosisComputed tomographyExtracellular volume fractionPrognostic value

Identifiers

PMID39912102
PMCPMC11795651

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.