Evidence map›Paper›PMID 30140620›Full record

ArticleQuantitative imaging in medicine and surgery2018

Correlations between the abdominal fat-related parameters and severity of coronary artery disease assessed by computed tomography.

Yating Gao, Yuan-Cheng Wang, Chun-Qiang Lu, Chuhui Zeng, Di Chang, Shenghong Ju

Open access · hybridAbstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 11% of its field
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
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  7. Is Obesity a Risk Factor for Carotid Atherosclerotic Disease?-Opportunistic Review.Journal of cardiovascular development and disease · 2022
    Review
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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

6 authors at 1 institution in 1 country.

Yating GaoDepartment of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing 210009, China.
Yuan-Cheng WangDepartment of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing 210009, China.
Chun-Qiang LuDepartment of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing 210009, China.
Chuhui ZengDepartment of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing 210009, China.
Di ChangDepartment of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing 210009, China.
Shenghong JuDepartment of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing 210009, China.
Zhongda Hospital Southeast University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity is considered a challenging public problem, which has been proven to be closely associated with coronary artery disease (CAD). Each risk factor of CAD has been separately studied many times in the past, but very few have comprehensively and quantitatively evaluated the relationship between the abdominal fat-related parameters and severity of CAD. The aim of this study was to analyze whether the abdominal fat-related parameters were associated with severity of CAD using abdominal non-enhanced computed tomography (NECT).

methodsPatients who went through both abdominal NECT and invasive coronary angiography (ICA) were included and retrospectively analyzed. The abdominal fat-related parameters [the ratio of visceral adipose tissue to subcutaneous adipose tissue (VAT/SAT ratio)] and traditional cardiovascular risk factors were evaluated in the participants with or without obstructive CAD. The correlations between the abdominal fat-related parameters and severity of CAD were assessed, and the multivariable logistic regression analysis was performed to investigate the parameters that could be used to predict the severity of CAD.

resultsA total of 223 consecutive subjects (obstructive CAD group, n=117; non-obstructive CAD group, n=106) were analyzed. The VAT/SAT ratio was significantly higher (0.95±0.33

conclusionsVAT/SAT ratio, NAFLD, and AAC score are correlated with the severity of CAD, indicating their characteristics of being independent risk factors for O-CAD, irrespective of the traditional cardiovascular risk factors. Those CT-derived parameters may make positive contributions to the differentiation of the patients with increased risk of O-CAD.

Indexed as

Coronary artery disease (CAD)invasive coronary angiographynon-enhanced computed tomography (NECT)risk factors

Identifiers

PMID30140620
PMCPMC6081356
OpenAlexW2884436546

What Socratic holds

Textmetadata
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 Socratic graph.