Evidence map›Paper›PMID 24624968›Full record

ArticleCardiovascular diabetology2014

Differential association of visceral adipose tissue with coronary plaque characteristics in patients with and without diabetes mellitus.

Kazuhiro Osawa, Toru Miyoshi, Yasushi Koyama, Shuhei Sato, Noriaki Akagi, Yusuke Morimitsu, Motoki Kubo, Hiroki Sugiyama, Kazufumi Nakamura, Hiroshi Morita and 2 more

Abstract readComparative Study
In one paragraph

Article in Cardiovascular diabetology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

12 authors.

Kazuhiro Osawa
Toru MiyoshiDepartment of Cardiovascular Therapeutics, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine, 2-5-1 Shikata-cho, Okayama 700-8558, Japan. miyoshit@cc.okayama-u.ac.jp.
Yasushi Koyama
Shuhei Sato
Noriaki Akagi
Yusuke Morimitsu
Motoki Kubo
Hiroki Sugiyama
Kazufumi Nakamura
Hiroshi Morita
Susumu Kanazawa
Hiroshi Ito

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExcess visceral adipose tissue (VAT) is closely associated with the presence of coronary artery plaques that are vulnerable to rupture. Patients with diabetes mellitus (DM) have more VAT than patients without DM, but the extent to which VAT contributes to the characteristics of coronary plaques before and after the development of DM is not fully understood.

methodsWe retrospectively evaluated 456 patients (60% male, age 64 ± 16 years) who were suspected to have cardiovascular disease and underwent 64-slice computed tomography angiography (CTA). Seventy-one (16%) patients had vulnerable plaques (CT density < 50 Hounsfield Units, positive remodeling index > 1.05, and adjacent spotty areas of calcification).

resultsPatients were divided into tertiles according to the VAT area. There were stepwise increases in noncalcified and vulnerable plaques with increasing tertiles of VAT area in patients without DM, but not in patients with DM. Multivariate analysis showed that a larger VAT area was significantly associated with a higher risk of vulnerable plaque in patients without DM (odds ratio 3.17, 95% confidence interval 1.08-9.31, p = 0.04), but not in patients with DM.

conclusionsThe VAT area is associated with the characteristics of coronary plaques on CTA in patients without DM, but not in patients with DM. VAT may be a significant cardiometabolic risk factor that is associated with plaque vulnerability before the development of DM. CTA findings may help to improve risk stratification in such patients.

Indexed as

AdolescentAdultAgedAged, 80 and overDiabetes MellitusFemaleHumansIntra-Abdominal FatMaleMiddle AgedMultidetector Computed TomographyPlaque, AtheroscleroticRetrospective StudiesYoung Adult

Identifiers

PMID24624968
PMCPMC3975136

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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.