Evidence map›Paper›PMID 39077073›Full record

ArticleReviews in cardiovascular medicine2023

Low-Attenuation Coronary Plaque Volume and Cardiovascular Events in Patients with Distinct Metabolic Phenotypes with or without Diabetes.

Kenichiro Otsuka, Hirotoshi Ishikawa, Kenei Shimada, Kana Hojo, Hiroki Yamaura, Yasushi Kono, Noriaki Kasayuki, Daiju Fukuda

Abstract read
In one paragraph

Article in Reviews in cardiovascular medicine, 2023. 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
–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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Kenichiro OtsukaDepartment of Cardiovascular Medicine, Osaka Metropolitan University Graduate School of Medicine, 545-8585 Osaka, Japan.
Hirotoshi IshikawaDepartment of Cardiovascular Medicine, Fujiikai Kashibaseiki Hospital, 639-0252 Kashiba, Japan.
Kenei ShimadaDepartment of Cardiovascular Medicine, Fujiikai Kashibaseiki Hospital, 639-0252 Kashiba, Japan.
Kana HojoDepartment of Cardiovascular Medicine, Fujiikai Kashibaseiki Hospital, 639-0252 Kashiba, Japan.
Hiroki YamauraDepartment of Cardiovascular Medicine, Fujiikai Kashibaseiki Hospital, 639-0252 Kashiba, Japan.
Yasushi KonoDepartment of Cardiovascular Medicine, Fujiikai Kashibaseiki Hospital, 639-0252 Kashiba, Japan.
Noriaki KasayukiDepartment of Cardiovascular Medicine, Fujiikai Kashibaseiki Hospital, 639-0252 Kashiba, Japan.
Daiju FukudaDepartment of Cardiovascular Medicine, Osaka Metropolitan University Graduate School of Medicine, 545-8585 Osaka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diabetes mellitus (DM) plays a key role in the pathophysiology of metabolic syndrome (MetS). This study aimed to investigate the association among DM, low-attenuation plaque (LAP) volume, and cardiovascular outcomes across metabolic phenotypes in patients with suspected coronary artery disease (CAD) who underwent coronary computed tomography angiography (CCTA). Methods: We included 530 patients who underwent CCTA. MetS was defined as the presence of a visceral adipose tissue area Results: The incidence of MACE was the highest in the non-MetS with DM group, followed hierarchically by the MetS with DM, MetS without DM, and non-MetS without DM groups. In the multivariable Cox hazard model analysis, DM as a predictor was associated with MACE independent of LAP volume Conclusions: This study demonstrated that DM, rather than MetS, is a predictor of coronary events independent of high-risk plaque volume in patients who underwent CCTA.

Indexed as

acute coronary syndromeadipose tissuecomputed tomography angiographycoronary artery diseasediabetes mellitus

Identifiers

PMID39077073
PMCPMC11272880

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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.